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

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Presentation transcript:

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

Reads 35,000 Reads Challenges in the New Utility World 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……………. 2

3 DATA (Quantity) ALARMS ENCRYPTION HOURLY DATA STREET LIGHT CONTROL IPV6 CONFIGURATION POWER QUALITY SERVICE SWITCH / VALVE VOLTAGE TEMPERATURE PRESSURE ON-DEMAND READS OUTAGE DEMAND RESPONSE DISTRIBUTION AUTOMATION CVR FIRMWARE DOWNLOAD DATA ANALYTICS LOAD PROFILE 4-CHANNELS

Trillion New Data Points Data Storage Issues Increase in Data Silos Unchecked Load Back Office System Stress New Technology New Communications Analysis 4

SUBSTATIONS TRANSFORMERS METERS NETWORKS

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

How do you start tackling the issue? 7

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! 8

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 9

Cloud Enables Diverse & Rapid Deployment Options 10

CLOUD COMPUTING Hardware Capacity and Costs Capacity Needs Time     Money left on the table with a fixed size data center   Inadequate capacity leads to slower processing with a fixed size data center Fixed Size Data Center Cloud 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”

12 “As we've said“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.” Is the Cloud Safe?

13

AGGREGATE ANALYZE APPLY AGGREGATE ANALYZE APPLY Data Mash Up…Tear Down the Silo

DATA CREATES DATA, ANALYTICS CREATES… = Petabytes = More Analytics = More Data + Analytics Utility Data

What do you do with the data? 16 Predict Analyze Forecast Trend Benchmark Data Access

DATA ACCESS 17

18 Trend

Find some quick wins Make the data come alive Simple Reports Alerts and Alarms Operational Analysis 19

Customer Success Story 20 AMI Raw Data size:8 GB / Week 400 GB / Year -Does not include weather data Interval Length: Hourly Meters:Aprox 45k Transformers: Aprox 19K

Reports 21 Data Credibility Report: Jun 1- Aug 1 Estimations Worst Offender Report

Reports 22 Momentary Outages June 1- Aug 1 By meter

Data Benchmark & Trends 23 Momentary Outages

Trends 24

Analyze 25

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

27 Transformer Load Forecasting

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 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) 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 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

32

Brian Crow, PE Thank You!