Microgrids Digital Transformation

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1 Microgrids Digital Transformation Maher Chebbo, PhD Energy General Manager Energy for EMEA SAP President of ESMIG 2015 SAP SE or an SAP affiliate company. All reserved. ETP SmartGrids Demand &rights Digital Chair Customer 1

2 1 The Microgrids Equation 2 Digital Energy 3 Microgrids Digital Intelligence 4 Conclusion 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 2

3 SmartGrids and Microgrids : Real Time, Internet of Things, Big Data and Digital Transformation needed Weather Prediction: Sunny, Windy, 23ºC Service Ecosystem Wind leads to more electricity generation M. SANCHEZ, 2006, Quelle: European Technology Platform SmartGrids Energy production covers (estimated) needs 2015 SAP SE or an SAP affiliate company. All rights reserved. Green Electricity available Lower electricity production Sun leads to increased electricity generation Electricity Car can get cheaper recharge Heat generators are not needed Customer 3

4 The Microgrids Equation MICROGRID MODES OF OPERATION INTO ACTIVE NETWORKS STORAGE VARIABLE LOAD DEMAND SIDE DISTRIBUTED ENERGY THE MICROGRIDS EQUATION ECONOMICS SMARTGRIDS BUSINESS MODELS INTERNET OF THINGS BIG DATA, IT/OT REAL TIME PREDICTIONS 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 4

5 1 The Microgrids Equation 2 Digital Energy 3 Microgrids Digital Intelligence 4 Conclusion 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 5

6 Big data brings new business opportunities, innovation, transformation and growth Millions 35,000 25,000 15,000 5, Billion Things by 2020 Internetof-Things Strategy Analytics, October 2014 Home Devices Personal Devices 44 trillion gigabytes (44ZB) of data will be generated in 2020 data creation is more than doubling every two years iview/executive-summary.htm 60% increase in operating margin in retail companies using Big Data as a new resource business_technology/ big_data_the_next_frontier_for_innovation More than 60% of CEOs expect 15% 50% of their earnings growth in the next 5 years to come from technology-enabled business innovations. McKinsey study, SAP SE or an SAP affiliate company. All rights reserved. Customer 6

7 The Digital Strategy empowering the Business Strategy 2011 SAP AG. All rights reserved. 7

8 Technology innovations Maturity Model for Utilities & Grids 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 8

9 IT/OT Integration : Situation awareness, integrating financial and operational data with predictive analytics to drive decision making 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 9

10 Underground Residential Distribution (URD) : Role of IT/OT integration & Big Data in improving Outage Management Analyze the test/ inspection and historical outage data around Underground Residential Distribution assets (Primary cables, Pad Mount Transformers and Fuses) View and Analyze a condition score for URD cables and transformers, Optimize inspection, Visualize the URD network on a geo-spatial user interface, Layer descriptive and predictive analytics 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 10

11 Digital Grid Applications & Analytics combining Business Processes + Information + Technology Information Intelligence : e.g. Real Time Predictive Analytics (e.g. Predicting Customer s Demand) In-Memory Technology Big Data (HANA) Complex Event Processing IT/OT Integration Cloud Metering-ISO Smart Homes Smart Cities Visual Enterprise Active Networks Aggregation Customer Self Services Mobility User Experience Electrical Vehicles Cloud Demand Management Virtual Power Plants Cloud / On Premise SmartGrids & Microgrids Platforms (OnPrem or PaaS) 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 11

12 Critical Transformer Load & Loss of Life using inmemory Big Data Predictive Analytics In-Memory Predictive IEC VDE (Loading guide for oil-immersed transformers) 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 12

13 Example of Technology Innovations : Asset & Customers Big Data and Analytics Asset Lifecycle & Predicitions In-Memory (HANA) & Analytics Geo Analytics Smart Metering & Energy Efficiency 3D Visual Enterprise SmartGrids 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 13

14 The Unique Value Proposition Combining Business Processes, Information and Technology Forecasting BUSINESS PROCESS PLATFORM INFORMATION PLATFORM Predictions Powered by in-memory Technology (SAP HANA) 2011 SAP AG. All rights reserved. 14

15 Smarter Decisions + Smarter Processes = Smarter Services 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 15

16 1 The Microgrids Equation 2 Digital Energy 3 Microgrids Digital Intelligence 4 Conclusion 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 16

17 Microgrids different Modes of Operation and required integration in Active Network Management (e.g. Southern Company project) In any of the three Operating modes of Microgrids, Active Network Management requires: Ø Ø Ø Ø Ø Ø Management of power flow constraints Management of voltage constraints Management of distributed generation contributing to transmission system constraints Smart electric vehicle charging Demand Response (domestic / commercial) Day ahead scheduling of controllable demand to coincide with renewable energy production to support frequency stability 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 17

18 Incorporate Microgrids Controller enabled by Digital Intelligence for an improved Active Network Management Data Historian New layer of control: Microgrid Controller (Southern Company) ANM Application DMS DERMS Digital Intelligence Digital Intelligence Microgrid Controller Digital Intelligence Microgrid Controller Microgrid Controller Generator Facility Microgrid Circuit Microgrid Energy Storage System Generator Substation Microgrid Energy Storage System 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 18

19 Layers of Microgrid Control (Southern Company Project) which could be empowered by Digital Intelligence (IT/OT, IoT, HANA, RT) Layers of Microgrid Control Digital Intelligence 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 19 19

20 «Apple Store» like as a Public HANA Cloud Platform for Energy Services : H2020 project «FLEXICIENCY» could include Microgrid cases ENR HCP FLEXICIENCY Electricity pan-european Marketplace for Distribution & Retail : Kind of Apple Store for Energy Demand Services target Utilities on the same Public Marketplace 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 20

21 1 The Microgrids Equation 2 Digital Energy 3 Microgrids Digital Intelligence 4 Conclusion 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 21

22 Microgrids : what will change? WILL CHANGE TO BECOME WITH 1 ENERGY CONNECT ALL ASSETS AND CUSTOMERS DATA IN REAL TIME PREDICTIBLE SMARTGRIDS MICROGRIDS 2 NETWORKS INTEGRATE MICROGRIDS WIH A SPECIFIC CONTROLLER LAYER MORE ACTIVE DIGITAL INTELLIGENCE 3 DATA BIG DATA COLLECTED IN REAL TIME INTELLIGENCE IN-MEMORY HANA PREDICTIVE ANALYTICS 4 CUSTOMERS FLEXIBLE DEMAND EMPOWERED DIGITAL ENERGY 5 MICROGRIDS INTEGRATE WITH ACTIVE NETWORKS, DER AND ACTIVE DEMAND DIGITAL IT/OT, IoT, BIG DATA, HANA PREDICTIVE ANALYTICS 2015 SAP SE or an SAP affiliate company. All rights reserved. Customer 22

23 2015 SAP SE or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Please see for additional trademark information and notices. Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE s or its affiliated companies strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forwardlooking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions SAP SE or an SAP affiliate company. All rights reserved. Customer 23

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