Utility Data Integration Operational Data Store (ODS) 2.0 Paradigm

Transcription

1 Utility Data Integration Operational Data Store (ODS) 2.0 Paradigm

2 About Utilismart Made in Ontario solution Established in 2000 >35 employees and growing Focused heavily on Growth Markets Ontario United States Over 140 customers across North America and the Caribbean Developing South American market entry plan Serve utilities that are <500 customers and > 3 Million and everywhere in between Secure, Reliable and Robust Services

3

4

5 Utility s role is changing The 4 V s of Big Data Innovation explosion The rise of the Prosumer Renewable generation, micro grids and storage are changing the delivery model CDM programs are evolving and reducing utilities revenue EV s will be affecting the existing distribution assets Billing is becoming more complex Utilities are entering a competitive world of IoT and behind the meter technology Growing regulator s and consumer s pressure

6 Source: CEA Electric Utility Innovation Toward Vision 2050

7

8 The Utility Analytics Institute has predicted that spending on Big Data software, hardware and services by North American utilities will increase to about $2 billion in 2016, up from $1.3 billion in 2013 and $511 million in At the same time, data-related costs are continuously decreasing. + VALUE Value Volume Volume Variety Velocity Velocity Veracity Veracity Variety Source: 13 th PwC Annual Global Power & Utilities Survey

9 Distributed Generation Energy Storage Demand Response Electric Vehicles Asset Optimization Fault Detection Replacement of Fossil Fuels

10 Solar PV Energy Storage Electric Vehicles + Tesla Powerwall Smart Home Automation Micro Grids

11 Diminishing revenues Fewer customers Excess generation, decreased demand New products and services Increased demand for data More competition

12 Net Metering Solar PV + Storage Virtual Power Plant Smart Communities Going Off The Grid Retrofit Programs

13 Distribution transformers New investments for commercial charging stations Load balancing / shedding technologies Demand spikes, shifting on-peak period

14 Net metering Tax elimination New pricing models Class A global adjustment class Pre-pay comeback Near-real time billing Complex regulatory charges Can customers understand the bill?

15 Demand Response enabled by IoT Smart thermostats (Nest, Honeywell Lyric,...) Smart Home Hubs Smart, connected dishwashers, washers, driers, fridges and stoves Efficient and controllable lighting Controllable switches Etc.

16 High energy prices Reliability Efficiency Accountability Amalgamations Competition

17 Efficiency Compliance Revenue Management and Recovery Energy Management System Loss Management Enable an Integrated Grid Assets and Infrastructure Management Security Customer Management Technology and Competition HR Business Continuity

18 High Energy Cost Service Quality and Reliability IoT and Technology Compatibility Security

19 Political agreements: Conference of Parties (COP21) - Paris Summit Greenhouse emission reduction Ontario s Green Energy Act Expand renewable energy generation, encourage energy conservation and promote the creation of clean energy jobs New Market Needs; Alternative Power Sources; Going Off The Grid Micro Grids, Nano Grids Energy Storage, Renewables

20 Technology Breakthroughs Digitalization and IoT - Connect Everything Efficiencies and Cost Reduction Unpredictable regulations and policies Cybersecurity Threats Demographic Changes and Urbanization Consumer Empowerment Energy Prices

21 Leverage data, data exchange and security related industry standards Secure the data and enable business continuity through an effective disaster recovery plan Employ utility analytics solutions that will enable the power of integrated data Integrate data residing on disparate and non-compatible systems Employ effective consumer engagement solutions connected to the integrated data platform

22 Adopt new technologies Invest into security Integrate and secure the data Diversify service portfolio Establish secure data publishing mechanisms Connect with consumers and prosumers and lead them into the future Look opportunities to gain additional efficiencies Invest into human resources with new skills Become agile and flexible

23 Leverage your infrastructure investments and maximize its return Employ Operational Data Store 2.0 to integrate all your operational data and get ready for the new wave of data (5 V s) Value Velocity Volume Veracity Variety

24 ODS 1.0 Meter-To-Cash Billing Process MDM /R Activities Enhanced AMI Reporting Data Troubleshooting and VEE Consumer Engagement Data Mart (Limited) ODS 2.0 Meter-To-Cash Billing Process MDM /R Activities Enhanced AMI Reporting Data Troubleshooting and VEE Consumer Engagement Data Mart Data Unification and Integration Connect Anything Security and Reliability Smart Grid Devices, IoT, EV and Energy Storage Data Support DR Enabled Utility Analytics Enabled Regulatory Reporting Engine Data Warehouse

25 Ontario Provincial MDM /R with Data Mart ODS 1.0 TOU Billing Support Limited Consumer Engagement Support AMI 1.0 Green Button Pilot Program DR Programs (for limited number of industrial customers only)

26 Advanced Information Exchange System (ODS 2.0) as a platform that enables the objectives from the Green Energy Act, 2009

27 Sweden Finland Norway Denmark Netherlands (Planning) (Procurement) (Testing) (Production) (Production) UK Austria

28 Financial Information System Asset Management System Workflow Management System Utility Enterprise Dashboard ODS 2.0 Advanced Metering Infrastructure Customer Information System Operational and Engineering Solution Demand Response Electric Vehicles Regional & Micro Grids Renewable Penetration Distributed Storage Consumer Engagement INTERNET OF THINGS

29 Virtual meters aggregation. Transformer level, feeder level, rate class, etc. Data Aggregation Engine Advanced VEE Engine Industry leading VEE engine utilizing the best practices and rule sets of Ontario MDM /R, California VEE and Norway Elhub. Universal Translation Service Connect anything to anything via MultiSpeak, Green Button, Files, CIM Recognize data / device conditions and alert users. Notification Engine Kdb+ Automated Data Publishing Engine Scheduled and automated batch data transfer. Security by Design Physical and logical data segregation. Encryption of sensitive information. Robust authentication and authorization engine.

30 UNIVERSAL TRANSLATION SERVICE DATA STREAM MS CIM GB WS Consumer Engagement UT OMS, DMS, SCADA GIS, Engineering Analysis DATA FILE ETL SYNC ADE RE CIS, Billing Utility Analytics BIG DATA PLATFORM 3 rd Party Utility Applications Distributed Computing Time Series DDBMS DATA MODEL

31 Enhanced Security Data Encryption, Authentication and Authorization Engine, Physical and Virtual Data Segregation, SSO (Single Sign-On), RBAC (Role Based Access Control) Performance 2 million meters (96 quarter hour intervals for 1 day) in 15 minutes Interoperability Connects new and legacy systems data using industry data interchange standards and legacy file based data transfers Scalability Horizontally scales by 5%, 50%, 100%, 200%, Portability Cloud and In-House Deployments Ease of Maintenance Simple Data Migrations Extensibility

32 Streaming Scan Batch Store Usage Volume Scale Benchmark Footprint Process and store 4.5 million records/second/core Search in-memory tables at 300 million records/second/core Bulk ingest data at 30 million records/second/core Accumulate 94 trillion data points (19 PB) for NYSE Trusted by 17 of the 20 world s top investment banks Daily volumes of 1.6 TB of streaming data per day From Raspberry Pi to 20,000 cores on AWS Cloud Top performing time-series database according to STAC Research Tiny 500 KB memory profile (L1/2 Cache)

33 Consumer Engagement / Choice Demand Response Advanced Settlement NET, MIST, TOU, Interval, Generation, etc. Utility Dashboard Special Reporting Unbilled Revenue RSVA Reconciliation Utility Analytics Fault Location System Losses Asset Management Service Quality and Reliability Outage Management Device Management Etc.

34 The ability to measure and analyze data about electricity distribution and consumption on a more granular basis in time and in detail - can unlock significant value Unbilled consumption identified by following the meter-to-cash trail can generate incremental revenue Detection of theft and fraud in the grid can reveal lost revenue Proactive maintenance of expensive transformers and other such heavy equipment in the grid can save millions of dollars by postponing replacement to the future. Source:

35 Source:

36 Technology: First Derivatives Consultants: Essex Energy Corporation Utility Partners: Essex Powerlines and Collus Powerstream

37 Miro Karlicic