Integrating wind in the Energy Systems · (contact Peter Meibom [email protected]), unit...

22
emf Snowmass 2009 Kenneth Karlsson Senior Scientist DTU Climate Centre System Analysis Division Technical University of Denmark Integrating wind in the Energy Systems Peter Meibom Senior Scientist Energy System Analysis System Analysis Division Technical University of Denmark

Transcript of Integrating wind in the Energy Systems · (contact Peter Meibom [email protected]), unit...

Page 1: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

emf Snowmass 2009

Kenneth KarlssonSenior Scientist

DTU Climate CentreSystem Analysis Division

Technical University of Denmark

Integrating wind in the Energy Systems

Peter MeibomSenior Scientist

Energy System AnalysisSystem Analysis Division

Technical University of Denmark

Page 2: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Risø DTU National Laboratory for Sustainable EnergyBoard of Governors

Management

IT Service

Building and Construction Service Information Service

Administration

Wind E

nergy

System

s Analysis

Materials

Research

Bio S

ystems

Radiation

Research

Fuel Cells and

Solid S

tate C

hemistry

Optics and P

lasma

Research

Polym

ers

emf Snowmass 2009

Page 3: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

DTU Climate Centre

Ongoing projects:• Advising the Danish Climate Commission• Supporting the Danish TSO in demand modelling• Climate labelling of products• Adaptation – water systems• TIAM DK

emf Snowmass 2009

Head of programme: Kirsten Halsnæs

DTU Climate Centre aims at integrating technical and economic research on climate change, mitigation and adaptation.

DTU Climate Centre supports cross cutting DTU activities that strengthen the climate perspective of ongoing research programmes

Page 4: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Agenda

• Wind in liberalised power markets• Models used for modeling integration

of wind power• How much wind can be integrated?• How can this be used in IAM?

emf Snowmass 2009

Page 5: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Impacts of wind power in the power system

• Technical impacts:– More need for transmission– Other production units: more variable production (more

start/stop, more part-load operation)– More need for reserve power especially on the minutes

to days scale (minutes: wind power forecast errors, days: alternative production when wind power production is low)

– Years: energy balance, maximum variation in wind power production from year to year ± 20%

– Modern wind turbines can deliver some types of power system services (e.g. reactive power)

emf Snowmass 2009Source: Peter Meibom

Presenter
Presentation Notes
Reduced spot market price: because wind power have very low marginal production costs so they will make bids with a low price on the power pool. In some situations the presence of wind power means that power production with larger marginal production costs do not enter the market, thereby decreasing the spot market price compared to a situation without wind power. Increased price for regulating power: because of increased demand.
Page 6: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

• Market impacts:– Reduce the day-ahead market price– Increase the market price for regulating power– Consequences for long-term power plant investment

behavior? • Value of the wind power production:

– Reduced due to integration costs

Impacts of wind power in the power system

emf Snowmass 2009Source: Peter Meibom

Page 7: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Forecast

Measurement

January 19 February 4 November 6

800 MW in deficit 800 MW in excess

Day-ahead wind power forecasts and realised wind power production in Western Denmark (Hannele Holttinen, VTT)

emf Snowmass 2009Source: Peter Meibom

Page 8: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Intraday prices in northern Germany during the time period 22.01.2010 –28.01.2010 for the cases 2010_Base and 2010_20%:

Price impacts of wind power

01020304050607080

2010

-01-

22-0

020

10-0

1-22

-06

2010

-01-

22-1

220

10-0

1-22

-18

2010

-01-

23-0

020

10-0

1-23

-06

2010

-01-

23-1

220

10-0

1-23

-18

2010

-01-

24-0

020

10-0

1-24

-06

2010

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24-1

220

10-0

1-24

-18

2010

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25-0

020

10-0

1-25

-06

2010

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25-1

220

10-0

1-25

-18

2010

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26-0

020

10-0

1-26

-06

2010

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26-1

220

10-0

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-18

2010

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27-0

020

10-0

1-27

-06

2010

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27-1

220

10-0

1-27

-18

2010

-01-

28-0

020

10-0

1-28

-06

2010

-01-

28-1

220

10-0

1-28

-18

Eur

o200

2/M

Wh

2010_20% 2010_BaseSource: Peter Meibom

emf Snowmass 2009

Page 9: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Models

• STREAM (www.streammodel.org) – spreadsheet based, no dynamics between years, time steps 1hour

• Balmorel (www.balmorel.org) – myopic optimisation model (can run with foresight), endogenous investments, time steps down to 1 hour

• Wilmar (contact Peter Meibom [email protected]), unit commitment, stochastic wind, time steps 1 hour until now

• TIAM (www.etsap.org) – global energy model (full foresight, limited foresight, myopic), endogenous investments, few time steps per year

• Power Grid Models, time steps down to minutes

emf Snowmass 2009

Page 10: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Scenarios for input parameters (2009-2050)Fuel prices, CO2 price, Power

Demand, Flex. Demand, DH heat demand, transport fuels, technology

data for new technologies ...

Present power system configuration

Production cap., transmission, storage, plant lifetime,

consumption ...

STREAM scenario for 2050

Gross energy consumption, power and heat production,

emissions

Balmorel runs with endogenous

investments (2009-2050)e.g. 260 time steps per year

emf Snowmass 2009

Evaluation of energy system

Run Balmorel in 1 hour steps for critical years

Wilmar analysis for critical years

Description of each unit in the power system

Problems?Add more technologies, add new rules .... And

rerun

Final scenario 2009-2050 (investment roadmap)

Energy mix, energy balances, market prices, emissions etc....

Goals and policiesGHG emission reduction targets, RE share, taxes, support schemes, etc....

Page 11: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

How much wind can be integrated?

emf Snowmass 2009

Energinet.dk (The Danish TSO)

DK 50% in 2050 STREAM

Wind share of electricity production Model

DK 50% in 2025 Balmorel

EA Energy analysis + Risø DTU (STOA) EU 17% in 2050 STREAM

The Danish Society of Engineers

DK 50% in 2025 STREAM/SIVAEL

All Island Grid study covering Republic of Ireland and Northern Ireland

EnergyplanDK 48% in 2015DK 67% in 2030

Wilmar34% in ??

Page 12: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Wind power as share of total electricity consumption

0%

5%

10%

15%

20%

25%

Denmark

Spain

German

y

Irelan

d

The N

etherl

ands

Portug

al

Greece

Austria

Luxe

mburg

United

Kingdo

m

Sweden

Italy

Finlan

d

Cyprus

Belgium

Latvi

a

Estonia

Franc

e

Lithu

ania

Poland

Czech

Rep

ublic

Romain

ia

Hunga

ryMalt

a

Slovak

Rep

ublic

Sloven

ia

Bulgari

a

emf Snowmass 2009

Wind power share in 2005

Page 13: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Wind power

25 %

21 %

18 %

21 %

3 %

17 %

Share of electricity production

emf Snowmass 2009

Future Energy Systems in EuropeCommissioned by STOA and carried out by ETAG

Final ReportSpecific Contract No.:IP/A/STOA/FWC-2005-28/SC33

Ref.: Framework Contract No. IP/A/STOA/FWC/2005-28

February 2009

Report prepared by:

Gy Larsen Project Manager, The Danish Board of Technology and Oliver Bo Schmidt, Project Assistant, The Danish Board of Technology.

Page 14: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

emf Snowmass 2009Source: Peter Meibom

All Island Grid study covering Republic of Ireland and Northern Ireland

Page 15: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Operational costs and CO2 emissions

P1 P2 P3 P4 P5

Wind prod/yearly demand [%] 11 23 23 23 34

Renewable production / yearly demand [%]

16 27 27 27 42

Operational costs incl. payments related to power exchange with GB [MEuro]

2342(1.00)

2002 (0.85)

2109 (0.90)

1898 (0.81)

1604 (0.68)

Resulting sum of CO2 emissions [Mton]

20.1(1.00)

17.6 (0.88)

18.4 (0.92)

21.8 (1.08)

15.3 (0.76)

emf Snowmass 2009Source: Peter Meibom

Page 16: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Net load –realised load minus realised wind power production

-2000

0

2000

4000

6000

8000

10000

1 673 1345 2017 2689 3361 4033 4705 5377 6049 6721 7393 8065 8737

Net

load

[MW

]

P1 P2, P3, P4 P5 P6

Negative net load: export to GB, pumped hydro, wind curtailment

Source: Peter Meibomemf Snowmass 2009

In P6 2.3% of the wind power production has to be exported, stored or curtailed

Page 17: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Average yearly number of start-ups for new CCGTsand coal units in P1-P5. P3 does not have new CCGTs.

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New CCGTs COAL

Ave

rage

yea

rly n

umbe

r st

art-u

ps p

er u

nit

P1 P2 P3 P4 P5

Source: Peter Meibomemf Snowmass 2009

8% loss in average production efficiency for peak load gas plants

0.5% loss in average production efficiency

Page 18: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Ways of integrating windpower

• Fast reacting flexible power capacity• Increased transmission capacity• Integration with district heating and heat storage

– e.g. heat pumps• Flexible demand (Electric cars, “intelligent”

appliances etc.)• Seasonal electricity storage (batteries,

hydrogen, compressed air, pumped hydro etc.)

emf Snowmass 2009

Page 19: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

What can be modelled in IAM based on the more detailed models?

When increasing wind share:• Increased need for backup capacity• Decreasing efficiency for peak load plants• Minimum thermal production at any time –

stabilising frequency• Spinning reserve• Flexible electricity demand – moving demand

away from peak

emf Snowmass 2009

Page 20: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Coming projects

• Renewable resources and mitigation options for China and India in TIAM

• Wind power integration in TIAM

• Climate feed-back in TIAM

emf Snowmass 2009

Page 21: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

Thank you for an interesting workshop and ....

entrepreneurship

emf Snowmass 2009

Page 22: Integrating wind in the Energy Systems · (contact Peter Meibom peme@risoe.dtu.dk), unit commitment, stochastic wind, time steps 1 hour until now • TIAM () – global energy model

• Wind integration studies:– All Island Grid study covering Republic of Ireland and Northern Ireland

funded by Irish governments– Market model for the EWIS (European wind integration study) performed

by European Transmission system operators– Study of the Eastern interconnect in the U.S. funded by NREL

forthcoming• EU projects: Wilmar, Supwind, Anemos Plus, Tradewind• Electricity storage:

– Compressed air energy storage in Ireland• Electric vehicles and other Demand side measures• More information: www.wilmar.risoe.dk, www.supwind.risoe.dk,

[email protected]

Wilmar Planning tool widely used