Global outlook on the perspectives of technologies like Power Hub

Transcription

1 Power Hub January 2013 Global outlook on the perspectives of technologies like Power Hub Larry Cochrane, Microsoft Utilities Industry Technology Strategist & Architect

2 Global outlook on the perspectives of technologies like Power Hub Larry Cochrane, Microsoft Utilities Industry Technology Strategist & Architect January 24, 2013

3 Microsoft Power & Utilities Industry Commitment

4 How do you prepare for the emerging Smart Energy Ecosystem? The Smart Energy Reference Architecture (SERA)

5 Smart Energy Reference Architecture s Pillars Performance Oriented Infrastructure Energy Value Chain Optimization Smart Connected Devices Rich Holistic User Experience Value Chain Transformation Partner Enabling Rich Application Platform Interoperability

6 SERA Advisory Council Driving SERA 2.0 Upgrade Modeling & Integration: Common Information Model & Utilities Industry Data Model Big Data: Structured & Unstructured - Analytics & Visualization Cloud: Private, Azure, Hybrid Security: NERC CIPs, EU & US Cyber Security SERA Alignment: SERA Capability Maturity Model SERA Accelerators: BTC CIM ESB SERA v2.0 Release SERA v3.0: Deployments Best Practices

7 Big Data Steps to Value Realization Acquisition Insight Model Operational Model Insight Projection Data Source Discovery Data Acquisition Data Cleansing Data Transformation Information Modeling Insight Discovery Mining & Visualization Data Implementation Model Data Loading & Maintenance Physical Data Model & Tuning Data Queries Reporting Insight Applications

8 Smart Grid Idaho Power Data Warehouse Customer Challenge Enterprise Information Architecture Data Model beyond CIM 95 SQL Databases servicing CIS information Partner Solution ADRMsoftware Utility Industry Data Model with 3,000 entities and 17,000 attributes Start with Enterprise or DW Model and expand detail from Business Area Models Reduced risk, immediate value, predictable, lower TCO Idaho Power is an electric generation, transmission and distribution services for 496K customers headquartered in Boise, Idaho. Results/Benefits Accelerated Timeline for DW Clear Strategy for Future Models Well defined pathway for aggregating reliability, outage, costing & financial data Integrates very disparate worlds of CIS, financial, and operations Clear app consolidation approach

9 Microsoft Big Data Picture Big Data Sources Outage Events, Tamper Events, Raw Events, Alerts, Notifications SQL Server StreamInsight ADRM Utility Industry Data Model Business Insights Sensors Devices SQL Server Historian/ODS SQL Server FTDW Data Marts Interactive Reports Smart Meters Partner Historian, MDM, Data Acquisition Processing SQL Server Reporting Services SQL Server Parallel Data Warehouse Data & Compute Intensive Applications Big Data Sources Historical Data (Beyond Active Window) Integrate/Enrich SQL Server Analysis Server Performance Scorecards Bots Customer Sentiment Summarize & Load/New Insights Crawlers Fast Load HDInsight on Windows Azure HDInsight on Windows Server ERP ETL with SSIS, DQS, MDS CIS/CRM Operations /LOB APPS Regulatory Reports Source Systems Addressing the Big Data Aggregation, Analytics, and Visualization Challenges Consumer Energy Usage Portal

10 Extensive Visualizations

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12 Load Analysis - Consumption

13 Geospatial Visualization 13

14 Abundance of Data is an Opportunity Serie s2 50b b

15 Opportunities are Significant Building Owners Utilities City Governments Reduce energy consumption Reduce operating costs Attract and retain tenants Reinforce Energy Conservations programs Improve ability to anticipate and influence demand Attract long-term investments with efficient foundation Attract employees with growing business sector Attract citizens with a sustainable, high quality of life 15

16 15m ft 2 across 118 buildings 35k pieces of mechanical equipment Major building management systems 7 500m data points collected daily Microsoft Campus "Energy-Smart City"

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18 Power Hub Dynamic Balancing of Flexible Energy Resources Advancing from DR to true Distribution Level Energy Balancing 18

19 Re-thinking The Future Through INTEGRATION Data is the next form of energy Distribute data instead of electricity Store data instead of electricity Sources:

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