Smarter than Smart. The DATA CONNECTION in Smart Grids. Jeroen Scheer 5 October 2012

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2 Smarter than Smart The DATA CONNECTION in Smart Grids Jeroen Scheer 5 October 2012

3 Setting the Scene Energy Transition: Multi-level revolution Customer Centric Interactive Grid Management Hurdles to Overcome The Data Connection Conclusions 3

4 Our Current Energy Business Model is based on Planned Scarcity Scarcity on Purpose and by Planning Customer = Connection Customers are Cost Factor and Base Load 4

5 This Model is NOT Sustainable 5

Bleeding at the Speed of Light Energy losses in

100 Units Coal 34 Units of Heat 2 Units of

6 Bleeding at the Speed of Light Energy losses in Powering a Light Bulb POWER PLANT LOSSES 62 Units 38 Units enter Transmission Lines TRANSMISSION LINE LOSSES 2 Units ENERGY CONTENT 100 Units Coal 34 Units of Heat 2 Units of Energy in the Light ENERGY USED TO POWER LIGHT BULB 34 Units 6

7 Basic Macro Question It is not a question IF the Energy Transition will take place Nor is it a question WHEN the Energy Transition will take place The question is HOW we can make it happen, and how WE can THRIVE (on) it 7

8 The road is clear 8

9 towards TIDES in Energy 9

10 The NEW energy business model is based on Sustainable Balance Fuel mix dependent on Economics & Politics Consumers become Active Participants Customers are Producers, Consumers and Balancers 10

11 Setting the Scene Energy Transition: Multi-level revolution Customer Centric Interactive Grid Management Hurdles to Overcome The Data Connection Conclusions 11

12 We have a dream VIRTUAL UTILITY based on SMART GRIDS thriving on Advanced Metering Infrastructures 12

13 Smart Energy Ecosystem Paradigm The Right Energy at the Right Time at the Right User = Real Time Balancing of Production, Storage and Distribution Capacity and Consumption of Energy 13

14 WHEN IT COMES TO SMART GRID WE NEED TO SEE THE FOREST, NOT JUST THE TREES 14

Vision to connect Customers (Prosumers) to Energy via

and Distribution Lines alarm operators, resolve problems,

and HAN help users to deploy energy more wisely, mitigate

15 Vision to connect Customers (Prosumers) to Energy via Information-intensive Network The DSO s new grid world 1. Electricity 2. Gas 3. Data New sensors / distributed computing on Transmission and Distribution Lines alarm operators, resolve problems, integrate large scale renewable generation Smart Meters and HAN help users to deploy energy more wisely, mitigate peak demand and integrate local generation Generation Transmission Distribution Users / Customers 15

16 Setting the Scene Energy Transition: Multi-level revolution Customer Centric Interactive Grid Management Hurdles to Overcome The Data Connection Conclusions 16

model ECONOMY Deregulation Economic Climate Emission Trade Gas & Oil prices M & A s CUSTOMER PULL instead of TECHNOLOGY PUSH Storage

17 Turmoil: our Environment Towards a Smart(er) Future REGULATORY Smart meters Advanced Metering Infrastructures TECHNOLOGY Web 2.0 Time-of-Use contracts Demand response Unbundling Market model Harmonization Smart Energy Ecosystems Regulatory Benchmarks Billing model ECONOMY Deregulation Economic Climate Emission Trade Gas & Oil prices M & A s CUSTOMER PULL instead of TECHNOLOGY PUSH Storage Distributed Generation LNG/CNG Home Automation CO 2 Capturing Price erosion / competition New entrances Red = Influencable Black = non influencable 17

18 Barriers (non-exhaustive) Business Model Power Matching Customer Centricity Technology Advancement Technology Adoption Standardization Market Model Stress Tax Stress Mind shift Need 18

19 Forest and Trees Smart Energy Ecosystem Stakeholders Generation Distributor V g IV IIII d Retailer Sourcing II I 3 VI Third parties b a c vpp 2 4 Consumers 5 µg 6 f 1 e Micro storage Meter (Data) Access Provider Source: SAP ACCU WORKGROUP AMI & SMART GRIDS

20 Challenges for grid company Need to consume less energy From large scale centralized to micro generation Monitor and steer complex energy flows Intermittent and unpredictable production: back up needed Need for energy storage Local balancing demand and supply of energy Enhanced security of supply Billing two way value stream

21 Setting the Scene Energy Transition: Multi-level revolution Customer Centric Interactive Grid Management Hurdles to Overcome The Data Connection Conclusions 21

22 Why are Pilots being paid so much salary? 22

23 Electric Vehicles Smarter Buildings Local Demand/ Supply Management Dynamic Asset Management 23

24 24

25 This leads to Smart Energy Ecosystem USERS MARKETS BUSINESS SYSTEM OPERATORS Existing and New Energy Services P Production Energy Internet S Storage U Usage Energy Grids Grid Management SMART GRIDS 25

26 IOT Strategy Combining several Worlds into One TRANS- ACTIONAL WORLD (Customers, Workforce) ANALYTICAL & BUSINESS DECISION SUPPORT WORLD STATIC WORLD (Geo, Assets) REAL TIME WORLD (Energy, Grid Status) 26

27 So, let s get to the Real World 27

instrumentation is required in the medium

How should maintenance of the smart grid be

Which data can be provided and what is the

28 Many questions on the deployment and potential advantages of a smart grid Which instrumentation is required in the medium voltage stations? Which security and privacy measures are required and feasible? How should maintenance of the smart grid be organized? Which data can be provided and what is the reliability of this data? What is the value of data for fraud detection, power quality, failure location detection, etc.? What are the consequences for a distribution control center? How can a smart grid support the energy transition? 28

29 Large variety of MV stations Resulting in a lot of (practical) challenges Gasterhof Hoogveldweg Het Broek Bruchem Kwekerij Spellewerd Kwekerij Worgdragen Honk van Hemert Inktfordseweg De Lucht Oost Coop. Telersvereniging Driegen Walderweg Worgdragen 29

30 So, we want to Combine 4 i s Instrumented Sensoring Switches Interconnected Datacomm Intelligence Information from data Innovation Real life lab

31 Roadmap Innovation is the Key driver 1 INNOVATION We want to gain knowledge on: grid behaviour customer behaviour, interaction between components asset life cycle analysis costs benefits

32 2 Analytics Insights in field data is important function Attributes Measurements Algorithms SG Analytics Component failures Predictions

33 3 Interconnection Learning how to communicate with all components in field, to collect, store, validate and distribute data Status grid: Real time Near Real time Offline

34 Placing sensors in field from many suppliers for comparison reasons. Basically starting in Zaltbommel, but easily extended to other regions 4 Instrumentate

35 Result: our LiveLab End2End chain MV-LV In Real Life grid with: Electrical Vehicles Decentral Generation Homes SME (Greenhouse industry) Entire residential area 35

grids MV - LV MV stations seconds minutes Infostroom:

36 Our Livelab SASensor HV - MV HV stations (nano) (milli) seconds LIVELAB: digitalizing (existing) MV grids MV - LV MV stations seconds minutes Infostroom: Smart Meters SM SM SM LV connections minutes 15 LV - Home SM 36

37 Architecture Layered approach with STANDARDS SECURITY ZONES DISTINGUISH REAL TIME NEAR RT OFFLINE INTEGRAL IT OT Sensors 37

38 Getting the Basics Right Data colelction ms Data storage Historian s Data collection Data Supply

39 Getting it to Work IT DATA DISTRIBUTION OT

40 Example of real time data usage (delay of some seconds)

41 Our Signal list Per MV Substation 450 signals, 40,000 MV Stations Originally in Oracle RDBMS More than 13,000,000,000 values, representing nearly 15 years of history From hours of query to seconds

42 PI Processbook 42

43 Livelab is in Full Use Selection of Livelab Projects Data Oriented Project Infrastructure Oriented Project Smart Grid Analytics Tone frequent measurements Load profiles Fast charge CDMA Pilot PoC Physical Access Control Internal Customer Crisalis C-Dax Bommelerw. energy neutral SEC Project Heerhugowaard E-Laad Tennet, Decentral Generation ENCS External Customer ENCS: Cooperation with the European Network of Cyber Security. LiveLab will be used for security testing. Heerhugowaard: Cooperation with SEC project Heerhugowaard (measurements in a PV neighborhood). LiveLab will be used for data collection and data analysis. CDMA Pilot: Test of CDMA in a smart grid environment. PoC Physical Access Control: Test of physical access control and video monitoring for MSR s 43

44 Setting the Scene Energy Transition: Multi-level revolution Customer Centric Interactive Grid Management Hurdles to Overcome The Data Connection Conclusions 44

45 Energy Transition means SUFFICIENT SUSTAINABLE ENERGY which means that Energy will still be a COMMODITY and not a High Interest Product 45

46 and that changes EVERYTHING in our Industry 46

47 The Future is NOW Our Delivery Strategy CUSTOMER CENTRIC FULFILLMENT REGULATORY PARTNERSHIP SECURITY OF BALANCE GEOSPATIAL AND INTELLIGENT GRID MAXIMALLY FACILITATED FLUID MARKET 47

48 Everything thrives on 48

49 Energy companies become IT, besides E and G

50 Bridging IT and OT Centralize Data from many sources and Distribute multiple 50

51 A MINDSET SHIFT IS REQUIRED Energy markets must INTEGRATE CONSUMERS as Active Partners IT = OT = IOT Innovation as CATALYST THINK THE IMPOSSIBLE Everything Thrives on DATA Combining all IOT worlds into One world 51

52 IT IS US THAT NEED TO CHANGE AND ACT THEN WE CAN OVERCOME BARRIERS AND ENSURE PERFECT ENERGY 52

53 THANK YOU 53

Presentation of the European Electricity Grid Initiative

Presentation of the European Electricity Grid Initiative Contractors Meeting Brussels 25th September 2009 1 Outline Electricity Network Scenario European Electricity Grids Initiative DSOs Smart Grids Model