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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: [email protected]
siemens.com