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MAKING CENTS OF ENERGY’S BIG DATA

MAKING CENTS OF ENERGY’S BIG DATA. Big Data: A Success Story Brian Crow, PE CEO Verdeeco. Challenges in the New Utility World. 1990. 2010. DATA EXPLOSION Usage Readings Demand Readings Alarms / Alerts Voltage Data Transformer Loading Outage Management Weather Stations

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MAKING CENTS OF ENERGY’S BIG DATA

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  1. MAKING CENTSOF ENERGY’S BIG DATA Big Data: A Success Story Brian Crow, PE CEO Verdeeco

  2. Challenges in the New Utility World 1990 2010 DATA EXPLOSION • Usage Readings • Demand Readings • Alarms / Alerts • Voltage Data • Transformer Loading • Outage Management • Weather Stations • Fault Current Indicators • Distribution Automation • New Technology, New Technology, New Technology……………. 35,000 Reads 12 Reads

  3. Distribution Automation Outage Data Analytics CVR On-Demand Reads Demand Response Firmware Download SPEED Pressure Temperature Voltage Load Profile 4-Channels Power Quality Service Switch / Valve Configuration Hourly Data ALARMS Street Light Control Encryption IPv6 DATA (Quantity)

  4. 35 Trillion New Data Points 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 • Data Storage Issues • Increase in Data Silos • Unchecked Load • Back Office System Stress • New Technology • New Communications • Analysis

  5. Substations Transformers Meters Networks 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 1 0 1 1 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 1 0 1 1 0 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 1 0 1 1 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 1 0 1 1 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 1 0 1 1 1 0 1 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 0 0 1 0 1 0 1

  6. Data is WORTHLESS, unless you turn it into information • Storage • Credibility • Accessibility • Query • Report • Alert • Alarm • ………………

  7. How do you start tackling the issue?

  8. Review your technology options • Cloud or in house? • Hybrid • Distributed or non-distributed • Real time or non real-time • Don’t let perfection stand in the way of progress!

  9. Cloud • Cloud is changing the technology world • Innovation is rapidly being delivered • Scalable Pilot projects can rapidly be deployed • Fast Prototyping and testing • Benchmark Hardware needs

  10. Cloud Enables Diverse & Rapid Deployment Options

  11. CLOUD COMPUTING • Cloud enables us to define server profiles that mirror the performance of physical counterparts • RAM • CPU • Disk space • Virtually unlimited bandwidth, pay for what you use No need to “build a church for Easter Sunday” Hardware Capacity and Costs  Fixed Size Data Center    Cloud Capacity Needs Time Inadequate capacity leads to slower processing with a fixed size data center  Money left on the table with a fixed size data center 

  12. Is the Cloud Safe? “As we've said, the CIA's decision to choose Amazon over IBM is a significant moment in the evolution of the cloud services industry, and whether Amazon wins or not, the initial decision is indicative of a fundamental change in attitudes by government towards IT procurement.”

  13. Data Mash Up…Tear Down the Silo Billing Load ASSET Sub-Station GEO AGGREGATE ANALYZE APPLY Meter OUTAGE

  14. DATA CREATES DATA, ANALYTICS CREATES…

  15. What do you do with the data? Data Access Predict Forecast Analyze Trend Benchmark

  16. DATA ACCESS

  17. Trend

  18. Find some quick wins Make the data come alive • Simple Reports • Alerts and Alarms • Operational Analysis

  19. Customer Success Story AMI Raw Data size: 8 GB / Week 400 GB / Year -Does not include weather data Interval Length: Hourly Meters: Aprox 45k Transformers: Aprox 19K

  20. Reports Data Credibility Report: Jun 1- Aug 1 Estimations Worst Offender Report

  21. Reports Momentary Outages June 1- Aug 1 By meter

  22. Data Benchmark & Trends Momentary Outages

  23. Trends

  24. Analyze

  25. Analyze: Under Loaded Transformers • 436 Pages long • 30 events / page • 6540 transformers • Never crossed 40% of rating for 7 days

  26. Transformer Load Forecasting

  27. What Else? • True Loss Analysis • Theft & Revenue Protection • Device Failure • Capital Expenditures to Benefits • Outage Analysis • Unbilled Revenue Reporting

  28. IT Involvement • Get the data into the hands of the power users • Find ways to monitor, but not have to continually update • Spend time doing the things you are really good at and are highly valuable for your time and less time building out reports for someone else

  29. Benefits and Value BENEFITS VALUE Don’t lose alarms, alerts and critical system data Improve Customer Relations Reduce Losses Identify issues and proactively manage assets Start-up quickly and improve performance faster Realize ROI in a short period of time • Quickly spot potential problem devices or areas through dashboards, geo-maps and drill down functionality • Increase ROI on deployed hardware • Cost-Effective Data Storage • Cross functional system analysis (AMI vs SCADA)

  30. Grid Data and Cloud Computing Provides: The opportunity for Advanced metering data to be used not just stored The ability for the business to actively define how data can be used and processed. A turnkey hosted solution with a greatly accelerated ramp time for maximum use and return on your investment The ability for small to mid-sized Utilities to participate in the efficiencies of advanced metering data usage with minimal capital investment Integration to other data sources such as GIS, SCADA, CRM, Billing, etc. for cross validation and more efficient operations 31

  31. Brian Crow, PE Brian.crow@verdeeco.com 404-831-3606 Thank You!

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