Capturing the benefits of Distributed

Energy Resources through a holistic and

integrated data and automation/control

based approach

Constantin Ginet

siemens.com/intersolar © Siemens AG 2017

May 31 to June 2, 2017

© Siemens AG 2017

Page 2 Constantin Ginet

Microgrid control and automation is at the heart

of DES maximizing the value of the solution

DES

Fossil or biomass

power generation

Storage solutions

Wind onshore

Photo voltaic

electrical equipment

Efficient buildings

Automation

& Digitalization

Microgrid Controller,

SP MGMS, ANM, EIP apps

Grid consulting & planning

May 31 to June 2, 2017

© Siemens AG 2017

Page 3 Constantin Ginet

Two major trends are enforcing each other and

are driving the transformation of the energy world

Analytics

Distributed

energy

systems

Digitalization

Small power plant Photovoltaics

Onshore wind

District heating and cooling

Engine

Data hubs

Energy

efficiency

Renewables and conventional

e-Mobility

Microgrid

Local resilience

Customer

engagement

Distributed,

closed-loop

control

Distribution platforms

Cyber security

New business models

Storage

Transactive

energy Adaptive protection

Dynamic Line Rating

Digital substation $ € ₹

May 31 to June 2, 2017

© Siemens AG 2017

Page 4 Constantin Ginet

Decentralization and connectivity translating

into increasing data generation

Drives agility in energy

systems

Digitalization & Automation New Smart Meter installations (Elec-

tricity, Gas, Water) in mio units p.a.

Growing electricity supply Generation in 1000 TWh

Distributed Power

Generation New installations in GW p.a.

Increase of Renewables New installations in GW p.a.

Increased electrification... DES & critical power systems Increased distance to Load /

Need for Balancing

• Sensors / meters provide data,

IT solutions make it actionable

• New market participants

• New pricing / business models

• Efficient Asset Management

• in emerging countries e.g.

China, India, Indonesia

• of building, heating and

industrial processes

• of mobility (eCars, eBus, ...)

• Energy storage solutions

• Micro- / Nanogrids arising

• Low & Medium Voltage growth

• Reinforce national grids

• Interconnect national grids

• Connect large Renewables

2015 2020 2025 2010 2020 2030 2010 2020 2030 2010 2020 2030

~100 ~90

~50

~21

~26

~32 ~373 ~358

~444

~90

~191

~303

20%

20%

29%

71%

40%

60%

49%

51%

62%

38%

67%

33%

20% 14%

58%

29%

47%

33%

45%

36% 19%

Renewables Conventionals Central Decentral Others Solar Wind

May 31 to June 2, 2017

© Siemens AG 2017

Page 5 Constantin Ginet

Customers request highly predictable value driven and

service data based business models

Critical Infrastructures / Military Institutions

Campuses Remote Locations and Islands

Industries with critical Processes

Utilities

May 31 to June 2, 2017

© Siemens AG 2017

Page 6 Constantin Ginet

Decentralized Energy systems and Microgrids

have 3 major value propositions to be quantified

$ Local generation

Island able

Storage integration

Controllable loads

Reliability,

resilience

Sustainability

Energy

efficiency

May 31 to June 2, 2017

© Siemens AG 2017

Page 7 Constantin Ginet

Objective for a Energy twin PSS/DE tool: Integrated

workflow in design phases across all portfolio

Typical

project

stages

Qualification & Consultancy

Preliminary business case

check

Select control solution

Initial design /

overall benefit

Optimal

portfolio mix

($/kWh)

Sizing

Benefit of MG

Control

Scenarios

simulation

Transient

behavior

calculation

Stability check

Protection

Validate benefits

KPI

measurement

Performance

monitoring

SICAM Microgrid Manager

SICAM MIC

SICAM SGU

SICAM SGU

SICAM SGU

SICAM MIC

SICAM SGU

SICAM TM

SICAM SGU

Covering: Control, Grid, Storage, Generation, light thermal

but not BT specific content yet (discussions ongoing)

PSS/DE = Distributed Energy System Simulator

(Integrated simulation tool chain)

* SIMPSON SW originally developed by CT on behalf of

PG IE with focus on off-grid island solutions

May 31 to June 2, 2017

© Siemens AG 2017

Page 8 Constantin Ginet

One Siemens Digital Grid offering for Microgrid/ DES

enabling new potential customer centric business models

Simulation

tool

Historical or predictive data: Evaluate

best solution configuration (incl. the

optimum function setting for the control)

and operation minimizing operation cost

and verifying grid stability

Monet Campus/ C&I/ IPP Performance

monitoring plus data analytics

Consulting Consulting offering: Energy site

improvement recommendation and

services based on data

MG controller

offering

Simulation data to design optimized

control functionalities in a modular way

PSS DE Energy twin for

Distributed Energy System:

Simulate project, Evaluate

DES baseline and DES

solution benefit

Microgrid controller

portfolio:

Reliability, energy efficiency,

market interaction and data

gathering

Monitoring: DES Data gathering, reporting,

benchmarking data analytics

(EXPO Milano) (Actual vs. Historical, Simulation

baseline, anomalies detected)

Managed service:

Customer DES solution,

operation recommendations

May 31 to June 2, 2017

© Siemens AG 2017

Page 9 Constantin Ginet

One Siemens Digital Grid offering for Microgrid/ DES

enabling new potential customer centric business models

Simulation

tool

Historical or predictive data: Evaluate

best solution configuration (incl. the

optimum function setting for the control)

and operation minimizing operation cost

and verifying grid stability

Monet Campus/ C&I/ IPP Performance

monitoring plus data analytics

Consulting Consulting offering: Energy site

improvement recommendation and

services based on data

MG controller

offering

Simulation data to design optimized

control functionalities in a modular way

PSS DE Energy twin for

Distributed Energy System:

Simulate project, Evaluate

DES baseline and DES

solution benefit

Microgrid controller

portfolio:

Reliability, energy efficiency,

market interaction and data

gathering

Monitoring: DES Data gathering, reporting,

benchmarking data analytics

(EXPO Milano)

(Actual vs. Historical, Simulation

baseline, anomalies detected)

Managed service:

Customer DES solution,

operation recommendations

One

connected

DES DG

offering

May 31 to June 2, 2017

© Siemens AG 2017

Page 10 Constantin Ginet

Siemens’ customer centric approach, combining

several portfolio elements to an consistent landscape

SICAM Microgrid

Controller

Spectrum Power 5

(ANM, Storage Integration)

Spectrum Power 7

MGMS

Monitoring

• Enabling off-grid operation

without interface to

external communication

• Cloud enabled

• Monitoring

• Performance monitoring

and benchmarking

• Performance contracts,

SaaS

• Limited functionality,

affordable

• Focus on-grid application

• Off-grid with local

optimisation enabled

• Focus on off/ on-grid

applications with market

interaction

• Local installations with

advanced functionality

PSS® DE Energy twin

for Distributed Energy

• Integrated simulation tool

chain for determination of

optimal portfolio mix

Simulation Real-Time Monitoring Reliability Optimisation Market Interaction

• Real time data collection

• Visualization and

benchmarking

• Simple control modules

• Rule based algorithms

• Electricity only

• Islanding of local network

• Resynchronization

• Load shedding

• Automated generation

control

• Generic algorithms

• Windows based

• Monitoring and control

• Optimise energy

production

• Optimise grid operation

• Generation and load

forecasting

• Interact with an aggregator

• Generic algorithms

• LINUX based

• Monitoring and control

• Optimise energy mix

• Generation and load

forecasting

• Optimal unit commitment

• Interact with the market

• Determination of

Optimal portfolio mix

($/kWh)

Sizing

• Scenario simulation

• Stability check

• Protection setting

May 31 to June 2, 2017

© Siemens AG 2017

Page 11 Constantin Ginet

Intelligently managed Microgrid: optimized low-carbon

microgrid on Native American reservation

1MW Indian reservation powered by Microgrid

150 tons carbon reduced per year

Reliability Proven operation on-grid and off-grid

4 partners: successfully managed ecosystem

May 31 to June 2, 2017

© Siemens AG 2017

Page 12 Constantin Ginet

Arizona Public Services Electric Company:

Microgrid Controller integrating Low Voltage PVs

10MW combined solar power

from residential roofs

1500 s integrated into active

load management

New business

model Utility owns and operates

DES

May 31 to June 2, 2017

© Siemens AG 2017

Page 13 Constantin Ginet

Arizona Public Service – Renewable Integration

Project

• Design an advanced control solution

to manage a significant amount of

roof-top solar on geographically

distributed residential houses

• Integrate seamlessly with APS’

existing utility control architecture

• Ensure data reliability, quick reaction

time, and system cyber security

• Provide an intuitive User Interface

and easy system configuration

Project Profile

Arizona Public Service - Phoenix, AZ

Utility Company

Residential Solar Integration

Project started July 2015

• Siemens SICAM PAS, a windows-

based control and automation

software system will monitor, control

and manage geographically

distributed residential roof top solar

installations with over 1500 invertors,

13 different distribution feeders, and

10MW capacity

• Functionalities include data collection

& storage, remote on/off, power

curtailment (0% to 100%), reactive

power control, frequency/Watt control

• Provides real-time access and

situational awareness to renewable

energy data for reliable operation of

grid infrastructure

• Enables easy integration with

existing communications and IT

infrastructure

• Ensures interoperability with future

additional solar PV or other grid

installations through a flexible and

scalable common platform

Challenge Solution Benefits

May 31 to June 2, 2017

© Siemens AG 2017

Page 14 Constantin Ginet

Ottawa, Ontario, Canada: Algonquin College benefits

from Siemens comprehensive Energy Services

4 MW Energy Centre

(Cogeneration)

$ 200k annual savings through

DG Control integration

Replicability Service business model ESCO

May 31 to June 2, 2017

© Siemens AG 2017

Page 15 Constantin Ginet

Algonquin College

• Optimize campus energy costs

through the lowest cost generation

mix

• Achieve campus-level energy

efficiency leveraging existing building

automation

• Enable advanced Microgrid

functionality such as islanding from

the grid, and ancillary programs such

as demand response

Project Profile

Algonquin College, Ottawa, Ontario,

Canada

Educational Institution

Peak demand: 4,656 kW

• Siemens Spectrum Power Microgrid

Management System (MGMS) will be

installed to integrate, control and

optimize 4 MW cogen, 10 kw solar,

battery, Electric Vehicles, utility

metered electricity, and more

• MGMS enables use of the most

cost efficient energy mix

creating savings for the end

customer

• Islanding mode including load

shedding and management

• Interface with Siemens’ Building

Automation system enabling

BAS optimization in Microgrid

controller decisions

• Provides resilience through black

start capability

• Enables potential savings of $850k*

per year for 20 years (microgrid

energy center)

*Note: Based on Siemens value estimation tool

Challenge Proposed Solution Benefits

May 31 to June 2, 2017

© Siemens AG 2017

Page 16 Constantin Ginet

Value of MGMS Optimization –

Campus Simulation

Considering all equipment technical data, estimated ROI for microgrid manager depending on microgrid size, electricity, and gas prices is 2 - 4 years.

Microgrid optimization –

Additional savings through

optimizing energy intake from

either CHPs or grid with the MG

manager

Full CHP utilization – Savings

through maximum CHP

utilization and simple MG

controller without optimization

Simple campus energy model –

Entire Campus is supplied from

the grid and thermal load is

provided by a gas powered

plant.

Energy cost:

$3M per year

Energy cost:

$2.2M per year

Savings: $800K per year

Energy cost:

$2M per year

Savings: $1M per year $200K additional savings due to MGMS

Scenario 1: Base Case Scenario 2: CHP Scenario 3: CHP & MGMS

May 31 to June 2, 2017

© Siemens AG 2017

Page 17 Constantin Ginet

Smart Grid of Expo Milan 2015 Enel, Italy,

A modular monitoring system

> 10’000 Devices monitored and

benchmarking

Consumption awareness

Optimisation Building comfort and

efficiency rules

Consulting Real time data enabling real

time reaction

May 31 to June 2, 2017

© Siemens AG 2017

Page 18 Constantin Ginet

Brooklyn Microgrid: Energy P2P transactive

Microgrid

About us: We are a team of energy services

professionals including engineers, software

developers, analysts and makers who are

dedicated to building out a resilient, clean and

renewable, locally generated microgrid in

Brooklyn, N.Y.

https://www.enbw-solarplus.de/, http://brooklynmicrogrid.com/

May 31 to June 2, 2017

© Siemens AG 2017

Page 19 Constantin Ginet

Brooklyn Microgrid Project | Stage 2:

Establishment of a physical microgrid to enable resiliency

Blockchain-enabled settlement & control

“Traditional” settlement & control

„Physical“

Microgrid

BC-enabled Consumer BC-enabled Producer BC-enabled Prosumer

non BC-enabled DERs

Node Node Node

Siemens Spectrum PowerTM Microgrid Management System

Grid stability, Reliability & Resiliency

Control non-BC-enabled DERs

Proxy to “traditional” energy markets

Aggregation of BC-enabled devices for optimization

against non BC-enabled central DERs as well as operation

and control in constrained mode / island mode

Real time data

analytics,

predictive

analytics &

Monitoring of

Microgrid

Regional non-renewable Grid Regional non-renewable

May 31 to June 2, 2017

© Siemens AG 2017

Page 20 Constantin Ginet

Contact

Constantin Ginet

Humboldtstraße 59

90459 Nuremberg

Mobile: +49 (172) 588649

E-mail: constantin.ginet@siemens.com

siemens.com