Capturing the benefits of Distributed Energy Resources through a holistic and integrated data and automation/control based approach siemens.com/intersolar
Microgrid control and automation is at the heart of DES maximizing the value of the solution Automation & Digitalization Efficient buildings Microgrid Controller, SP MGMS, ANM, EIP apps Grid consulting & planning DES Wind onshore Storage solutions Fossil or biomass power generation Photo voltaic electrical equipment Page 2
Two major trends are enforcing each other and are driving the transformation of the energy world Storage Energy efficiency District heating and cooling Engine Local resilience Distributed energy systems Adaptive protection Digital substation Distribution platforms Analytics Data hubs Digitalization Transactive energy $ Distributed, closed-loop control e-mobility Microgrid Cyber security Dynamic Line Rating Customer engagement Photovoltaics Onshore wind Small power plant Renewables and conventional New business models Page 3
Decentralization and connectivity translating into increasing data generation Digitalization & Automation New Smart Meter installations (Electricity, 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. ~50 ~90 ~100 Conventionals Renewables Central Decentral Others Solar Wind ~21 20% 20% ~26 29% 71% ~32 40% 60% ~373 ~358 2015 2020 2025 2010 2020 2030 2010 2020 2030 2010 2020 2030 49% 51% 62% 38% ~444 67% 33% ~90 36% 45% 19% ~191 33% 47% ~303 29% 58% 20% 14% Drives agility in energy systems 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 Page 4
Customers request highly predictable value driven and service data based business models Campuses Remote Locations and Islands Utilities Industries with critical Processes Critical Infrastructures / Military Institutions Page 5
Decentralized Energy systems and Microgrids have 3 major value propositions to be quantified Reliability, resilience $ Local generation Storage integration Energy efficiency Island able Controllable loads Sustainability Page 6
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 MIC SICAM MIC SICAM SGU SICAM SGU SICAM SGU SICAM Microgrid Manager SICAM SGU SICAM TM SICAM SGU PSS/DE = Distributed Energy System Simulator (Integrated simulation tool chain) Covering: Control, Grid, Storage, Generation, light thermal but not BT specific content yet (discussions ongoing) * SIMPSON SW originally developed by CT on behalf of Page 7 May 31 to PG June IE 2, with 2017 focus on off-grid island solutions
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 PSS DE Energy twin for Distributed Energy System: Simulate project, Evaluate DES baseline and DES solution benefit MG controller offering Simulation data to design optimized control functionalities in a modular way Microgrid controller portfolio: Reliability, energy efficiency, market interaction and data gathering Monet Campus/ C&I/ IPP Performance monitoring plus data analytics Managed service: Customer DES solution, operation recommendations Consulting Consulting offering: Energy site improvement recommendation and services based on data Monitoring: DES Data gathering, reporting, benchmarking data analytics (EXPO Milano) (Actual vs. Historical, Simulation baseline, anomalies detected) Page 8
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 PSS DE Energy twin for Distributed Energy System: Simulate project, Evaluate DES baseline and DES solution benefit MG controller offering Monet Simulation data to design optimized control functionalities in a modular way One connected DES DG Campus/ C&I/ IPP Performance monitoring plus data analytics offering Microgrid controller portfolio: Reliability, energy efficiency, market interaction and data gathering Managed service: Customer DES solution, operation recommendations Consulting Consulting offering: Energy site improvement recommendation and services based on data Monitoring: DES Data gathering, reporting, benchmarking data analytics (EXPO Milano) (Actual vs. Historical, Simulation baseline, anomalies detected) Page 9
Siemens customer centric approach, combining several portfolio elements to an consistent landscape Simulation Real-Time Monitoring Reliability Optimisation Market Interaction PSS DE Energy twin for Distributed Energy Monitoring SICAM Microgrid Controller Spectrum Power 5 (ANM, Storage Integration) Spectrum Power 7 MGMS Determination of Optimal portfolio mix ($/kwh) Sizing Scenario simulation Stability check Protection setting 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 Integrated simulation tool chain for determination of optimal portfolio mix Monitoring Performance monitoring and benchmarking Performance contracts, SaaS Enabling off-grid operation without interface to external communication Cloud enabled 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 Page 10
Intelligently managed Microgrid: optimized low-carbon microgrid on Native American reservation 4 partners: successfully managed ecosystem 1MW Indian reservation powered by Microgrid 150 tons carbon reduced per year Reliability Proven operation on-grid and off-grid Page 11
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 Page 12
Arizona Public Service Renewable Integration Project Challenge Solution Benefits 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 Siemens SICAM PAS, a windowsbased 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 Project Profile Arizona Public Service - Phoenix, AZ Utility Company Residential Solar Integration Project started July 2015 Page 13
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 Page 14
Algonquin College Challenge Proposed Solution Benefits 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 Page 15
Value of MGMS Optimization Campus Simulation Scenario 1: Base Case Scenario 2: CHP Scenario 3: CHP & MGMS Simple campus energy model Entire Campus is supplied from the grid and thermal load is provided by a gas powered plant. Full CHP utilization Savings through maximum CHP utilization and simple MG controller without optimization Microgrid optimization Additional savings through optimizing energy intake from either CHPs or grid with the MG manager 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 Considering all equipment technical data, estimated ROI for microgrid manager depending on microgrid size, electricity, and gas prices is 2-4 years. Page 16
Smart Grid of Expo Milan 2015 Enel, Italy, A modular monitoring system > 10 000 Devices monitored and benchmarking Consulting Real time data enabling real time reaction Consumption awareness Optimisation Building comfort and efficiency rules Page 17
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/ Page 18
Brooklyn Microgrid Project Stage 2: Establishment of a physical microgrid to enable resiliency Physical Microgrid BC-enabled Consumer BC-enabled Prosumer BC-enabled Producer Node Node Node Siemens Spectrum Power TM Microgrid Management System Real time data analytics, predictive analytics & Monitoring of Microgrid Aggregation of BC-enabled devices for optimization against non BC-enabled central DERs as well as operation and control in constrained mode / island mode Grid stability, Reliability & Resiliency Control non-bc-enabled DERs Proxy to traditional energy markets non BC-enabled DERs Regional non-renewable Grid Regional non-renewable Page 19 Blockchain-enabled settlement & control Traditional settlement & control
Contact Humboldtstraße 59 90459 Nuremberg Mobile: +49 (172) 588649 E-mail: constantin.ginet@siemens.com siemens.com Page 20