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Center fuumlr Flexible Elektrische Netze FENNEDO Smart Communities Summit 2019Tokyo June 4 2019
DC Technology - Key Enabling Technology for a CO2
Neutral Urban Environment
Prof Dr ir Rik W De DonckerBMBF FEN Research Campus ISEA and PGS|EONERC of RWTH Aachen University
2
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
Seite 3
RWTH Aachen University
Founded in 1870 one of the largest technical
universities in Europe
157 degree courses
ndash 45377 students (57 Engineering)
ndash 7165 graduates 9651 international students
9264 employees
ndash 547 professors (89 Junior Prof)
ndash 5564 research associates
ndash 2786 non-scientific staff
ndash 599 apprentices and interns
948 Meuro Budget 2017
ndash 3603 Meuro external project funds for RampD
4833 Scientific Publications
25 of all Dr-Ing in Germany are from RWTH
rha
RWTH Aachen CAMPUS Cluster Sustainable Energy
clean reliable and affordable solutions
5
RWTH CAMPUS Cluster Sustainable Energyto accelerate innovation with industry partners
CWD
CMP EON ERC
FEN CARL ISEAELab
E3D
Seite 6
Cluster SE - Gateway to other RWTH Centers Programs and
Alliances EON Energy Research Center ndash Sustainable
Energy Supply in the Urban Environment
FEN ndash Forschungscampus Flexible Electrical
Networks
New CARL ndash Center for Ageing Reliability and
Life Cycle Analysis of Electrochemical and Power
Electronic Systems
CWD ndash Center for Wind Drives
KESS ndash Communal Energy Supply Systems
CMP ndash Center for Mobile Propulsion
eLab ndash Emobility Production Laboratory
e3D - Energy Efficiency and Sustainable Building
New RCR ndash Research Center Railways
RWTH Strategic Area ECPE
JARA
Seite 7
4 MW test bench for mechanical and electrical research
and characterization of wind turbines
CWD ndash Center for Wind Power Drives
I3 Research Center for Wind Power Drives
Prof Hameyer
Prof Schroumlder
Prof Monti
Prof De Doncker
Prof Brecher
Prof Jacobs
Prof Abel
Seite 8
CARL ndash Center for Aging Reliability and Life Cycle
Prediction of Electrochemical and Power Electronic
Systems
EON ERC at RWTH Aachen UniversityEnergy savings energy efficiency and sustainable energy supply in the rban
environment
Prof Rik W De Doncker
EON ERC | Prof Rik W De Doncker | 2908201610
Research Fields at New EON Energy Research CenterFocus on urban energy supply and demand
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
2
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
Seite 3
RWTH Aachen University
Founded in 1870 one of the largest technical
universities in Europe
157 degree courses
ndash 45377 students (57 Engineering)
ndash 7165 graduates 9651 international students
9264 employees
ndash 547 professors (89 Junior Prof)
ndash 5564 research associates
ndash 2786 non-scientific staff
ndash 599 apprentices and interns
948 Meuro Budget 2017
ndash 3603 Meuro external project funds for RampD
4833 Scientific Publications
25 of all Dr-Ing in Germany are from RWTH
rha
RWTH Aachen CAMPUS Cluster Sustainable Energy
clean reliable and affordable solutions
5
RWTH CAMPUS Cluster Sustainable Energyto accelerate innovation with industry partners
CWD
CMP EON ERC
FEN CARL ISEAELab
E3D
Seite 6
Cluster SE - Gateway to other RWTH Centers Programs and
Alliances EON Energy Research Center ndash Sustainable
Energy Supply in the Urban Environment
FEN ndash Forschungscampus Flexible Electrical
Networks
New CARL ndash Center for Ageing Reliability and
Life Cycle Analysis of Electrochemical and Power
Electronic Systems
CWD ndash Center for Wind Drives
KESS ndash Communal Energy Supply Systems
CMP ndash Center for Mobile Propulsion
eLab ndash Emobility Production Laboratory
e3D - Energy Efficiency and Sustainable Building
New RCR ndash Research Center Railways
RWTH Strategic Area ECPE
JARA
Seite 7
4 MW test bench for mechanical and electrical research
and characterization of wind turbines
CWD ndash Center for Wind Power Drives
I3 Research Center for Wind Power Drives
Prof Hameyer
Prof Schroumlder
Prof Monti
Prof De Doncker
Prof Brecher
Prof Jacobs
Prof Abel
Seite 8
CARL ndash Center for Aging Reliability and Life Cycle
Prediction of Electrochemical and Power Electronic
Systems
EON ERC at RWTH Aachen UniversityEnergy savings energy efficiency and sustainable energy supply in the rban
environment
Prof Rik W De Doncker
EON ERC | Prof Rik W De Doncker | 2908201610
Research Fields at New EON Energy Research CenterFocus on urban energy supply and demand
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Seite 3
RWTH Aachen University
Founded in 1870 one of the largest technical
universities in Europe
157 degree courses
ndash 45377 students (57 Engineering)
ndash 7165 graduates 9651 international students
9264 employees
ndash 547 professors (89 Junior Prof)
ndash 5564 research associates
ndash 2786 non-scientific staff
ndash 599 apprentices and interns
948 Meuro Budget 2017
ndash 3603 Meuro external project funds for RampD
4833 Scientific Publications
25 of all Dr-Ing in Germany are from RWTH
rha
RWTH Aachen CAMPUS Cluster Sustainable Energy
clean reliable and affordable solutions
5
RWTH CAMPUS Cluster Sustainable Energyto accelerate innovation with industry partners
CWD
CMP EON ERC
FEN CARL ISEAELab
E3D
Seite 6
Cluster SE - Gateway to other RWTH Centers Programs and
Alliances EON Energy Research Center ndash Sustainable
Energy Supply in the Urban Environment
FEN ndash Forschungscampus Flexible Electrical
Networks
New CARL ndash Center for Ageing Reliability and
Life Cycle Analysis of Electrochemical and Power
Electronic Systems
CWD ndash Center for Wind Drives
KESS ndash Communal Energy Supply Systems
CMP ndash Center for Mobile Propulsion
eLab ndash Emobility Production Laboratory
e3D - Energy Efficiency and Sustainable Building
New RCR ndash Research Center Railways
RWTH Strategic Area ECPE
JARA
Seite 7
4 MW test bench for mechanical and electrical research
and characterization of wind turbines
CWD ndash Center for Wind Power Drives
I3 Research Center for Wind Power Drives
Prof Hameyer
Prof Schroumlder
Prof Monti
Prof De Doncker
Prof Brecher
Prof Jacobs
Prof Abel
Seite 8
CARL ndash Center for Aging Reliability and Life Cycle
Prediction of Electrochemical and Power Electronic
Systems
EON ERC at RWTH Aachen UniversityEnergy savings energy efficiency and sustainable energy supply in the rban
environment
Prof Rik W De Doncker
EON ERC | Prof Rik W De Doncker | 2908201610
Research Fields at New EON Energy Research CenterFocus on urban energy supply and demand
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
rha
RWTH Aachen CAMPUS Cluster Sustainable Energy
clean reliable and affordable solutions
5
RWTH CAMPUS Cluster Sustainable Energyto accelerate innovation with industry partners
CWD
CMP EON ERC
FEN CARL ISEAELab
E3D
Seite 6
Cluster SE - Gateway to other RWTH Centers Programs and
Alliances EON Energy Research Center ndash Sustainable
Energy Supply in the Urban Environment
FEN ndash Forschungscampus Flexible Electrical
Networks
New CARL ndash Center for Ageing Reliability and
Life Cycle Analysis of Electrochemical and Power
Electronic Systems
CWD ndash Center for Wind Drives
KESS ndash Communal Energy Supply Systems
CMP ndash Center for Mobile Propulsion
eLab ndash Emobility Production Laboratory
e3D - Energy Efficiency and Sustainable Building
New RCR ndash Research Center Railways
RWTH Strategic Area ECPE
JARA
Seite 7
4 MW test bench for mechanical and electrical research
and characterization of wind turbines
CWD ndash Center for Wind Power Drives
I3 Research Center for Wind Power Drives
Prof Hameyer
Prof Schroumlder
Prof Monti
Prof De Doncker
Prof Brecher
Prof Jacobs
Prof Abel
Seite 8
CARL ndash Center for Aging Reliability and Life Cycle
Prediction of Electrochemical and Power Electronic
Systems
EON ERC at RWTH Aachen UniversityEnergy savings energy efficiency and sustainable energy supply in the rban
environment
Prof Rik W De Doncker
EON ERC | Prof Rik W De Doncker | 2908201610
Research Fields at New EON Energy Research CenterFocus on urban energy supply and demand
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
5
RWTH CAMPUS Cluster Sustainable Energyto accelerate innovation with industry partners
CWD
CMP EON ERC
FEN CARL ISEAELab
E3D
Seite 6
Cluster SE - Gateway to other RWTH Centers Programs and
Alliances EON Energy Research Center ndash Sustainable
Energy Supply in the Urban Environment
FEN ndash Forschungscampus Flexible Electrical
Networks
New CARL ndash Center for Ageing Reliability and
Life Cycle Analysis of Electrochemical and Power
Electronic Systems
CWD ndash Center for Wind Drives
KESS ndash Communal Energy Supply Systems
CMP ndash Center for Mobile Propulsion
eLab ndash Emobility Production Laboratory
e3D - Energy Efficiency and Sustainable Building
New RCR ndash Research Center Railways
RWTH Strategic Area ECPE
JARA
Seite 7
4 MW test bench for mechanical and electrical research
and characterization of wind turbines
CWD ndash Center for Wind Power Drives
I3 Research Center for Wind Power Drives
Prof Hameyer
Prof Schroumlder
Prof Monti
Prof De Doncker
Prof Brecher
Prof Jacobs
Prof Abel
Seite 8
CARL ndash Center for Aging Reliability and Life Cycle
Prediction of Electrochemical and Power Electronic
Systems
EON ERC at RWTH Aachen UniversityEnergy savings energy efficiency and sustainable energy supply in the rban
environment
Prof Rik W De Doncker
EON ERC | Prof Rik W De Doncker | 2908201610
Research Fields at New EON Energy Research CenterFocus on urban energy supply and demand
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Seite 6
Cluster SE - Gateway to other RWTH Centers Programs and
Alliances EON Energy Research Center ndash Sustainable
Energy Supply in the Urban Environment
FEN ndash Forschungscampus Flexible Electrical
Networks
New CARL ndash Center for Ageing Reliability and
Life Cycle Analysis of Electrochemical and Power
Electronic Systems
CWD ndash Center for Wind Drives
KESS ndash Communal Energy Supply Systems
CMP ndash Center for Mobile Propulsion
eLab ndash Emobility Production Laboratory
e3D - Energy Efficiency and Sustainable Building
New RCR ndash Research Center Railways
RWTH Strategic Area ECPE
JARA
Seite 7
4 MW test bench for mechanical and electrical research
and characterization of wind turbines
CWD ndash Center for Wind Power Drives
I3 Research Center for Wind Power Drives
Prof Hameyer
Prof Schroumlder
Prof Monti
Prof De Doncker
Prof Brecher
Prof Jacobs
Prof Abel
Seite 8
CARL ndash Center for Aging Reliability and Life Cycle
Prediction of Electrochemical and Power Electronic
Systems
EON ERC at RWTH Aachen UniversityEnergy savings energy efficiency and sustainable energy supply in the rban
environment
Prof Rik W De Doncker
EON ERC | Prof Rik W De Doncker | 2908201610
Research Fields at New EON Energy Research CenterFocus on urban energy supply and demand
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Seite 7
4 MW test bench for mechanical and electrical research
and characterization of wind turbines
CWD ndash Center for Wind Power Drives
I3 Research Center for Wind Power Drives
Prof Hameyer
Prof Schroumlder
Prof Monti
Prof De Doncker
Prof Brecher
Prof Jacobs
Prof Abel
Seite 8
CARL ndash Center for Aging Reliability and Life Cycle
Prediction of Electrochemical and Power Electronic
Systems
EON ERC at RWTH Aachen UniversityEnergy savings energy efficiency and sustainable energy supply in the rban
environment
Prof Rik W De Doncker
EON ERC | Prof Rik W De Doncker | 2908201610
Research Fields at New EON Energy Research CenterFocus on urban energy supply and demand
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Seite 8
CARL ndash Center for Aging Reliability and Life Cycle
Prediction of Electrochemical and Power Electronic
Systems
EON ERC at RWTH Aachen UniversityEnergy savings energy efficiency and sustainable energy supply in the rban
environment
Prof Rik W De Doncker
EON ERC | Prof Rik W De Doncker | 2908201610
Research Fields at New EON Energy Research CenterFocus on urban energy supply and demand
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
EON ERC at RWTH Aachen UniversityEnergy savings energy efficiency and sustainable energy supply in the rban
environment
Prof Rik W De Doncker
EON ERC | Prof Rik W De Doncker | 2908201610
Research Fields at New EON Energy Research CenterFocus on urban energy supply and demand
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
EON ERC | Prof Rik W De Doncker | 2908201610
Research Fields at New EON Energy Research CenterFocus on urban energy supply and demand
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Flexible Electrical Networks (FEN) Research Campus Academia and Industry work together under one roof to accelerate innovation
FEN Research Campus
Scientific advisory board
Partners
FEN GmbH
Industry PartnersUniversity Partners
Start-Up-Support
R W De Doncker FEN
Research Campus RWTH
Aachen University11
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Flexible Electrical Networks (FEN) Research CampusResearch Areas on DC- and micro-Grids
R W De Doncker FEN
Research Campus RWTH
Aachen University12
Research on energy technology
Interdisciplinary aspects on energy research
Automation + Control + CloudDigitalization
DC Grid Systems
DC Grid Components
SocietyEconomics
Environment
Regulatory amp Standards
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
FEN Landmark ProjectMedium-voltage (5 kVdc 5 MW) CAMPUS DC micro-grid
AixControl XRS70707 MW 1 kHZ DC-DC Converter
Landscape Architecture
Research Grid
Medium Frequency
Transformers
Physiology
R W De Doncker FEN
Research Campus RWTH
Aachen University13
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
14
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
15
Interdisciplinary group experts from natural technical economical and social sciences from both academia and industry
Leading Question How can we transform the energy supplyto reach the climate goals
Approach of the working group
bull Analysing and evaluating technical options through
1) Expert discussions (bottom up)
2) Comparing relevant energy scenarios
3) Conducting own model calculations (REMod-D)
bull Identifying the economic and societal obstacles and challenges
bull Elaborating options for policy makers to implement changes overcome obstacles and establish necessary instruments
Working Group (WG) on bdquoCoupling of Energy Sectorsldquo
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
16
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Since 2010 slope is not on target
Start Energy Market Liberalization
Start Global Economic Stagnation
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
17
Goal of the energy transition reduce greenhouse gas emissionsData greenhouse gas emissions Germany 1990-2018 (Mt CO2 eq)
source bdquoEnergiedaten Gesamtausgabeldquo BMWi January 2018
- 80
-20
-40
- 55
- 70
- 95 0
200
400
600
800
1000
1200
1400
Mt
CO
2e
qu
ival
en
t
other emissions energy-related emissions
Target
Start Energy Market Liberalization
Start Global Economic Stagnation
Two main reasons for slow improvements in recent years
Little progress in energy efficiency and savings
No increase of renewables in mobility and heat sectors
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
18
Main conclusions of WG on bdquoCoupling of Energy Sectorsldquo
bull Electricity from wind and solar power will become the dominant energy sources
bull Because it is often most efficient to use power directly technologies like heat pumps electromobility and electrode heated boilers become important
strong electrification and growing electricity demand sector coupling
need for storage and flexibility
bull But it is not possible to use electricity for all applications
chemical energy carriers remain indispensable hydrogen will be important
more ambitious climate goals require synthetic fuels (power-to-X)
bull Biomass and alternative renewable energy sources need to be used effectively
bull Efficiency is paramount to limit the expansion of wind and PV (and electrical grids) to keep the costs low and thereby to ensure the acceptance of the energy transition
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conlusions
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Storage Requirements in pan-European Electricity System(C Hoffmann IRES Conf 2008)
8 4
2
PV
sh
are
[]
Rel Coverage RES []
Relative Coverage (RES = Wind+PV)
Installed av annual production RES
Average annual consumption
PV share
Installed av annual production PV
Average annual production RES
Relative storage demand
Required storage
Average annual consumption
100
80
60
40
20
0
100 120 140 160 180
Germany2 of 627 TWh 1257 TWh
1257 Mrd euro at 100eurokWh or010 eurokWh of total energy and 20 years service time (Cf 2 Storage horizon 1 week full load)
R W De Doncker FEN
Research Campus RWTH
Aachen University20
2 requires all sorts
of low cost dispursed
energy storage
- Fast (min ndashhours)
Batteries amp dual use of
EV amp PHEV batteries
- Large (Days ndash Weeks)
Thermal storage with
heat pumps in homes
and buildings heat and
cold distribution
networks
- Strategic (Months)
Chemical Electrolysers
for H2 and power-to-x
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Exergy Battery Energy Storage System (BESS) in Aachen
1 MW Battery Energy Storage System (BESS)equiv Capacity 125 kWh
Hydrogen battery cells equiv Ultrafast charging and discharging properties
equiv BESS can be fully charged and discharged within 75 minutes
equiv Excellent durability (+10000 cycles)
equiv Response time 3 ms
Project start at EONERC Feb 2018equiv Primary energy control reserve
equiv Investigate Future services peak shaving spinning reserve back-up power supply for fast charging stations for EVlsquos
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Concept for a CO2 Neutral Electrical Energy Supply SystemTechnically Possible - Scenario for EU-27 + 2
Scenario
calculated in 2011
by R De Doncker
based on linear
extrapolation over
the period 2000-
2010 of the growth
of decentralized
power (CHP and
REN) since market
liberalization in
2000 Predicted
that by 2025 EU
could have had a
CO2 neutral
electrical energy
production
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV
Interesting
observation
transmission
system may
need minimal
upgrade to
DC ETG Task
Force claims
that DC can
be integrated
at lower cost
in existing
infrastructure
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV
Interesting
observation
medium
voltage
distribution
grid will need
upgrades as it
becomes an
exchange
platform
between local
producers
and
prosumers
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Concept for a CO2 Neutral Electrical Energy Supply SystemAbout 13 in HV 13 in MV 13 in LV
Interesting
observation
Low-voltage
distribution in
factories
buildings and
homes needs
to exchange
energy
flexibly to MV
grids to
provide D2SM
and storage
functionality
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
R W De Doncker FEN
Research Campus RWTH
Aachen University26
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for renewables and CHP in urban areas
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Future grids cannot ignore the energy feed-in in medium- and low-voltage distribution grids
and e-Mobility and must become interconnected
Offshore-wind parks
Large solar andwind parks
Industrial powerplants
Central power stations
407 GW Solar and
wind parksMunicipal powerplants
45 GW
232 GW PV-systems in localDistribution gridsLocal distribution
grids
-
Bi-directional interconnected grid structure
High voltagefrom 100 kV
Medium voltage
Low voltage
Conventional power sources Renewable power sources
Daten Bundesnetzagentur - Daten und Informationen zum EEG (31122015) Kraftwerksliste und Zahlen (10062016 Status 2015)
(5 GW at LV not associated)
11 hellip 1800 GW
R W De Doncker FEN
Research Campus RWTH
Aachen University27
The 13 rule already applies in Germany to the installed capacitiesMeshed distribution grids are indispensable for Emobility in urban areas
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Distributed REN installationBalancing by meshed regional medium-voltage distribution grids
Munich
Berlin
Hamburg
Bremen
Underlay
distribution grid
is an interesting
business
proposition from
DSO
perspective Area for
100 windArea for
100 PV
Cologne
R W De Doncker FEN
Research Campus RWTH
Aachen University28
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Large-scale dispursed in space and time energy storage
bull Sector coupling (heat gas eMobility) and eGrid
bull Smart dispursed balancing power generation and DSM
bull Flexible meshed distribution grids - eGrid
bull DC technology to build meshed distribution grids
bull Solving the eMobility fast charging in urban areas
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
|
Institute for Power Electronics and Electrical Drives
Electric Vehicle Drive Train PrototypeState-of-the-Silicon-art
Prof Dr ir Dr h c Rik W De Doncker30 27112018
bull Demonstrator 280 kW
2x 115 kW ASM
1x 50 kW PMSM
2 LiIon batteries
144 V and 216 V
384 kWh
bull Audi Q6 e-tron quattro 370 kW (three motors)
Max speed 210 kmh
95 kWh LiIon
DC charging with 150 kW
400 km driving range
e performance developed at RWTH - predecessor of the Audi Q6 Production at AUDI Brussels ndash Presented Nov 2018 in San Francisco CA
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
|
Institute for Power Electronics and Electrical Drives
Modularity leads us to a standard components enabling various traction drive platforms ndash eTron platform (2016)
Source audicom July 2016
31 27112018 Prof Dr ir Dr h c Rik W De Doncker
4
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Distribution GridTypical Urban Grid Structure with e-Mobility (40 kW charger) is quickly overloaded
Branch A 21 households max total power 98 kW 178 kW (2 veh)
Length 461 m
Branch B 34 households max total power 129 kW 249 KW (3 veh)
Length 715 m
Branch C 10 households max total power 68 kW 108 kW (1 veh)
Length 185 m
Connection to transmission grid Transformer Capacity 250 kVA 630 kVA
Upgrade of 400V AC infrastructure
Based on M Stieneker and R W De
Doncker Medium-voltage DC
distribution grids in urban areas 2016
IEEE 7th International Symposium on
Power Electronics for Distributed
Generation Systems (PEDG) Vancouver
2016
R W De Doncker FEN
Research Campus RWTH
Aachen University32
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Classical Distribution Grids are radialIntegration of decentralized supplies renewables storage and e-Mobility is difficult
MV MV
LVLVLVLV
HV
25 25 25 25
50 50
==3~
R W De Doncker FEN
Research Campus RWTH
Aachen University33
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Classical Distribution Grids are radial and massively oversizedIntegration of decentralized supplies renewables storage and e-Mobility is difficult
HV
25 25 25
100
25 25 25
MV MV
LVLVLVLV
25
==3~
0
R W De Doncker FEN
Research Campus RWTH
Aachen University34
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
==
N x (F)CS
==
==
==
Hybrid Approach to Maximize Capacity of Distribution GridsIntegration of e-Mobility PV Wind Storage hellip by MVDC-Backbone
3~= =
3~= =
MVDC
MVDC
HV
==
==
==
==
N x (F)CS
25
25
25
100 100
25
50 50
MV MV
MVDC
LVLVLVLV
R W De Doncker FEN
Research Campus RWTH
Aachen University35
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Dual Active Bridge DC-DC ConverterMedium-Voltage High-Power DC-DC Converter
R W De Doncker FEN
Research Campus RWTH
Aachen University36
P = 7 MW VDC = 5 kV plusmn10 Efficiency up to 992 Ultimately air-cooled devices are an option DC substation at 13 weight of 50 Hz
transformer
R Lenke bdquoA Contribution to the Design of Isolated DC-DC Converters for Utility Applicationsldquo Diss RWTH Aachen University EON ERC 2012
N Soltau bdquoHigh-power medium-voltage DC-DC converters design control and demonstrationrdquo Diss RWTH Aachen University EON ERC 2017
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
DC-grid and energy management in a DC quarterLower infrastructure cost higher efficiency and bidirectional
MVDC
LVDC
(AC)
5 kV+(-) 380 V
DC-ConverterLegacy AC
R W De Doncker FEN
Research Campus RWTH
Aachen University37
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview
bull Introduction - Sustainable Energy Research at RWTH Aachen University
bull Goals of German Government amp Status on CO2 neutrality
bull Technical requirements and system level solutions
bull Energy Storage
bull Flexible meshed distribution grids - eGrid
bull Are the engineering solutions affordable
bull Cost reduction of batteries
bull Cost reduction of power electronics
bull Material savings
bull Ecological footprint
bull Conclusions
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
|
Institute for Power Electronics and Electrical Drives
World-wide target for costs (eurokWh) for large-scale automotive LIB cells
published by the end of 2012
Technology DriversPrice Development of Lithium-Ion Batteries (only cells)
ISEA forecast (2010)
Prices decreased faster
than predicted by NEDO
Germany (BMBFISI)
South Korea (MKE)
Source bdquoTechnologie-
Roadmap Energiespeicher
fuumlr die Elektromobilitaumlt 2030ldquo
Cost in eurokWh
Consumer cell are even
cheaper (eg TESLA)
39 27112018 Prof Dr ir Dr h c Rik W De Doncker
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Cost reduction of Power ElectronicsDriven by renewables ndash eg Global installed capacity of wind
540 GWpeak installed capacity by the end of 2017 ndash assuming 50 DFG
this translates in approximately 810 GVA of power electronic converters
Multi-megawatt power electronic converters are becoming a mass product
During the past 25 years a major cost reduction of voltage source inverters
took place from 500 eurokVA down to 20 eurokVA
R W De Doncker FEN
Research Campus RWTH
Aachen University40
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Price of silicon cells and power electronics inter-twined
Silicon is made of SiO2 (ie sand an abundant material) and energy
Energy is produced by PV
PV energy is controlled and converted by power electronics made of silicon
In 2018$ 0113
Source R W De Doncker IEEE IPEC ECCE 2014 Hiroshima Japan
R W De Doncker FEN
Research Campus RWTH
Aachen University41
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Technology Drivers
Price Development of Power Electronics
Specific cost for EV inverters
equiv 1995 $50kVA1
equiv 2015 $5kVA2
equiv 2020 RampD target $33kVA
1 Source Data provided by R De Doncker2 Source US Department of Energy Vehicle Technologies Office
3
4
5
6
7
8
2010 2012 2014 2016 2018 2020
cost
in $
kW
year
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Material Usage in Power Transformers
Frequency matters
bull Weight distribution of copper and Si-steel
in machines and transformers
bull Copper 25 ndash 30
bull Iron lamination 70 ndash 75
bull Specific weight Fe 8 gcmsup3
bull Specific weight Cu 9 gcmsup3
bull Standard 50 Hz Transformer 25 kgkVA
bull 7 MW DC-DC converter 1 kHz 5 kV
bull 3 x 23 MVA transformers
bull 1000 Hz transformer 025 kgkVA
bull Increased power density by a factor of 10
compared to 50 Hz transformer
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
bull AC grids are based on transformer technology
Designed for top down energy transmission
Constant voltage and constant frequency
Flexible AC grids (FACTS) will require major investments in infrastructure
and power electronic energy conversion and storage systems
In 2000 EU29 had 685GW installed capacity ie 137 Mton on Cu and Si-
Steel in generators and transformers ie 1096 Beuro (at price of 8 eurokg)
Standard AC Grid Configuration for Transmission and Distribution
gt 20000 tonGW
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Ecological Impact Analysis for Charging InfrastructureAC Charging 22 kW vs DC-Charging Mixed 50 kW amp 37 kW
R W De Doncker FEN
Research Campus RWTH
Aachen University45
8490
8045
8008
8386
8216
6910
8917
8224
7211
3347
5536
7386
5974
5218
7325
6584
6479
8305
0 20 40 60 80 100
Landwirtschaftliche Landbesetzung [msup2a]
Klimawandel [kg CO2-Aumlq]
Verbrauch fossiler Rohstoffe [kg oil-Aumlq]
Frischwasseroumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Frischwasser Eutrophierung [kg P-Aumlq]
Humantoxizitaumlt [kg 14-DCB-Aumlq]
Ionisierende Strahlung [kg U235-Aumlq]
Meeresoumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Meereseutrophierung [kg N-Aumlq]
Verbrauch mineralischer Rohstoffe [kg Fe-hellip
Natuumlrliche Landumwandlung [msup2]
Ozonabbau [kg CFC-11-Aumlq]
Partikelbildung [kg PM10-Aumlq]
Photochemische Oxidantienbildung [kghellip
Terrestrische Versauerung [kg SO2-Aumlq]
Terrestrische Oumlkotoxizitaumlt [kg 14-DCB-Aumlq]
Staumldtische Landbesetzung [msup2a]
Wasserverbrauch [msup3]
AC-System
DC-System
Water usage [m3]
City land usage [m2a]
Global toxicity [kg 14 DCB eq]
Global acidity increase [kg SO2 eq]
Photochemical Oxidants [kg]
Particles [kg PM10 eq]
Ozon reduction [kg CFC11 eq]
Natural land usage [m2]
Usage of mineral resources [kg Fe eq]
Sea water eutrophication [kg N eq]
Sea water ecological toxicity [kg 14 DCB eq]
Ionic radiation [kg U235 eq]
Human toxicity [kg 14 DCB eq]
Drinking water eutrophication [kg P eq]
Drinking water toxicity [kg 14 DCB eq]
Usage of fossil fuels [kg Oil eq]
Climate change impact [kg CO2 eq]
Occupation of agricultural land [m2a]
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Summary
Renewable energy has the full potential as a foundation for the future sustainable energy supply of industrial societies
Underlay meshed DC grids shorten the path between volatile renewable energy and consumers and have advantages at flexibility and cost
Interconnected DC grids offer an efficient solution for fast charging service E-mobility can support the grid with all required control power and a useful
proportion of storage Most importantly DC technology saves materials which reduces significantly
the ecological footprint
Researchers and engineers have identified solutions but still open questions Can implementation be accelerated by training technicians Are regulatory issues in the way
R W De Doncker FEN
Research Campus RWTH
Aachen University46
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
47
Concepts for a CO2-neutral Energy Supply System
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
48
Concepts for a CO2-neutral Energy Supply System
CWDKESS
ISEA
ELAB
CMP
FEN
e3D
EON ERC
Kopernikus
Grids
ENSURE
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
IEEE Electronic Power Grid (eGrid) Workshop
November 2-4 2020
Aachen Germany
Rik W De Doncker FIEEE
RWTH Aachen UniversityResearch CAMPUS Flexible Electrical Networks
EON Energy Research Center
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Historical city situated at the border between3 countries (Germany Belgium andNetherland)
RWTH Aachen University is a center of
competence in electrical grid technologies
Location
Aachen
Aachen
4 MW NacelleTest Bench
5 MW Medium-Voltage SST amp DC
Converter
Laboratory
Real-Time GridSimulation
Laboratory
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Contact
Flexible Elektrische Netze FEN GmbH Campus-Boulevard 7952074 Aachen
Tel +49 241 80 22471infofenaachennet
Thank you for your attention
Image sources (banner)copy FEN GmbH exterior view of buildingcopy DDM Company landscape with wind turbinecopy EON ERC dc-dc convertercopy iStockphotocomstudiovision networkcopy Peter Winandy aerial photographcopy stockWERKfotoliacom Energiewendecopy vegefotoliacom puzzlecopy PhotographyByMKfotoliacom high-voltage grid renewable energy sources
FENaachen
XingFENaachennet
LinkedinFENaachennet
YouTubeFENaachennet
Prof dr ir Rik W De DonckerDr-Ing Peter Luumlrkens Chief Engineer
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
bull Research project bdquoBOBldquo (Solingen) Double use of Trolley bus infrastructure Catenary power used for charging of
on-board batteries during operation Possible electrification of lines without
catenary Integration of renewable energies Services for feeding ac grid
bull 4 GW (750 Vdc) installed capacity in German cities alone (VDV) Average use is 12 Each day about 85 GWh is available to charge EV 14 million EVs with 60 kWh battery 420 million km range (20 kWh100 km)
Source Uni Wuppertal
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Fast-Charging InfrastructureDouble Use of Railway and Light Rail Infrastructure
bull Low utilization of large capacity railway infrastructure (12)bull Existing capacities can be used for fast chargingbull Railway and light-rail grids are available in cities Light rail typically 750 Vdc
Belgium Spain Italy Russia use 3000 Vdc
France NL use 1500 Vdc
Source Muumlller-Hellmann
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Gross Properties of Passenger Vehicle Traffic in Germany
Gross energy system data Net electricity consumption DE 2016 1) 525 TWh Grid peak load 2016 2) 8375 GW)
Gross data passenger-car-traffic 2016 3) 446 Mio registered cars 626 Bln kma 38 kmcar and day
Energy and storage data 160 Whkm (conservative driving Renault Zoe I) Annual fleet energy consumption 100 TWh 19 of annual electrical energy On-board storage 40 kWh250 km 178 TWh 30 hrs of average grid load
Installed Charging Power 446 Mill Cars 4hellip40 kW on-board charger 180-1800 GW 21x hellip 21x grid peak load Average fleet power (day 24 hrs) 11 GW 13 of grid peak load
Result On-board storage sufficient for grid control and possibly day-night balance Plenty of grid control power
1) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-19992) httpswwwagora-energiewendededethemen-agothem-Produktprodukt76Agorameter3) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtml
R W De Doncker FEN
Research Campus RWTH
Aachen University54
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Smart eHome with DC-Cell and PEV-Integration in AC Grid
LV-ACDC
(AC)
R W De Doncker FEN
Research Campus RWTH
Aachen University55
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Locations for Fast Charging Stations
Along highways major intersections
Extra travel time by detour inacceptable Stations in 25 km intervals 175 km28 kWh with 200 kW 84 min 11-12 Points-of-service (PoS) 23 MW 1040 stations 12840 PoS 24 GW Source wwwimgurcom
In the city
Locations supermarkets and shops for daily needs(~25000Germany 2017 [1]) Shopping duration matches charging time [3] Re-use shopping time for charging
[3] R Philipsen T Schmidt J van Heek and M Ziefle ldquoFast-charging station here please User criteria for electric vehicle fast-charging locationsrdquo Transportation Research Part F Traffic Psychology and Behaviour vol 40 pp 119ndash129 Jul 2016
Source wwwchargedevscom
Charging power = 50 hellip150 kW [2]
Charging power = 150 hellip350 kW [2]
[2] Nationale Plattform Elektromobilitaumlt Ladeinfrastruktur fuumlrElektrofahrzeuge in Deutschland Statusbericht und Handllungsempfehlungen 2015
[1] httpsdestatistacomstatistikdatenstudie216015umfrageanzahl-der-verkaufsstellen-im-lebensmitteleinzelhandel-nach-geschaeftstypen
R W De Doncker FEN
Research Campus RWTH
Aachen University56
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Commuter and Short Range Trips With e-Vehicles
Passenger-car-traffic 2016 1) Non-long distance traffic 88 of total traffic Average daily short range traffic 34 kmcar and day Average daily energy consumption 54 kWh (160 Whkm) Charging power (duration 8 hrs) 068 kW
Charging at work Mostly daytime Average fleet load (6-20 hrs) 17 GW
20 of 84 GW 2) day-time grid peak load
Charging at home (for convenience) Typically over night or weekend Night-time charging looses daytime PV surplus Average fleet load (20-6 hrs) 24 GW
48 of 50 GW 2) night-time base grid load
1) httpwwwkbadeDEStatistikKraftverkehrVerkehrKilometerverkehr_in_kilometern_nodehtmlz) httpsdestatistacomstatistikdatenstudie164149umfragenetto-stromverbrauch-in-deutschland-seit-1999
R W De Doncker FEN
Research Campus RWTH
Aachen University57
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
| PGS Power Generation and Storage Systems |
Cost of battery in EVV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
equiv 5 arbitrarily selected vehicle sets
of 40 vehicles each were
simulated
equiv Error bars show deviations from
average value
equiv Very high SOCs during standstill
times impacts life time (calendaric
life time)
Estimated lifetime
58 years
Fra
cti
on
of
sta
nd
sti
ll
State of charge
58
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
| PGS Power Generation and Storage Systems |
SOC and charging algorithms have influence in LCCV2G and Lifetime considerations
Prof Dr ir Dr h c Rik W De Doncker
27112018
SOC optimized unidirect
Cost optimized unidirect Bidirect trading
Bidirect trading SOC optimized
Estimated lifetime
72 years
Estimated lifetime
87 years
Estimated lifetime
80 yearsEstimated lifetime
92 years
59
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
| PGS Power Generation and Storage Systems |
E-Mobility operating costsV2G and Lifetime considerations
Only valid with high price volatility
Only spot market considered no balancing power
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 km
Price-opt
bidirectional
60
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
| PGS Power Generation and Storage Systems |
Cost savings by lifetime increase are higher than reduction of energy
costs
Prof Dr ir Dr h c Rik W De Doncker
27112018
407 euro
403 euro
351 euro
316 euro
258 euro
1008 euro
791 euro
858 euro
719 euro
747 euro
- euro 2 euro 4 euro 6 euro 8 euro 10 euro 12 euro 14 euro
uncontrolled
SoC-opt
unidirectional
price-opt
unidirectional
SoC-opt
bidirectional
trading
Electricity plus battery costs per 100 km
Electricity
costs per
100 km
Battery
costs per
100 kmAssumptions
- Interest rate 8
- Battery costs 5000 euro
- Depriciation time
battery lifetime
Price-opt
bidirectional
61
E-Mobility operating costsV2G and Lifetime considerations
Andreacute Hackbarth Benedikt Lunz Reinhard Madlener Dirk Uwe Sauer Rik W De Doncker Publisher Aachen Universitaumltsbibliothek der
RWTH Aachen 2016 EON Energy Research Center Series ISSN 1868-7415 Vol 2 Nr 3
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
bull SiC Traction Inverter fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
Dr ir Dr h c R W De
Doncker62
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
kg
Power Density Development of DC-DC Converters
Dr ir Dr h c R W De
Doncker63
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
Overview Wide-Bandgap and Superjunction Converters at ISEA
SiC HV Battery DC-DC converter
fsw = 150 kHz
Pmax = 126 kW (342 kW)
Vbatt = 300hellip500 V
Vdc-link = Vbatthellip800 V
310519Dr ir Dr h c R W De Doncker
GaN Bidirectional Charger
fsw = 500 kHz
Pmax = 37 kW
Vgrid = 230 V
Vbattery = 250hellip400 V
SiC Traction Inverter
fswmax = 100 kHz
Pmax = 160 kW
Vin = 800 V
GaN MHz DC-DC Converter
fsw = 303 MHz
Pmax = 150 W
Vin= 200 V
Vout= 40 V
Superjunction LV Battery
DC-DC Converter
fsw = 100 kHz
Pmax = 3 kW
Vbatt= 10hellip16 V
Vdc-link= 170hellip380 V
64
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin
| PGS Power Generation and Storage Systems |
0
10
20
30
40
50
2010 2012 2014 2016 2018 2020kW
l
0
5
10
15
20
25
2010 2012 2014 2016 2018 2020
kW
k
gPower Density Development of DC-DC Converters
2012
bull fsw = 16 kHz
bull Si-Module
bull classic cooler and inductances
2016
bull fsw = 150 kHz
bull SiC-Module
bull classic cooler
and inductances
2018
bull fsw = 400 kHz
bull discrete SiC devices
bull 3D-printed cooler
and inductor bobbin