1. Value now. Value over time. © Copyright 2010, OSIsoft, LLC All rights Reserved. Enabling Data Infrastructure for Utility Sustainability John Lacy November 8, 2010

2. 2 Value Now - Fast, Simple, Sustainable © 2010 OSIsoft, LLC. All rights reserved Enabling Smart Grid components 1) Generation 2) Transmission & Distribution 3) Meters 4) Hardware 5) Consumers 6)Smart Infrastructure Smart – “The Enabler”

3. 3 Value Now - Fast, Simple, Sustainable © 2010 OSIsoft, LLC. All rights reserved 3 Data, Data, Data and more Data

4. 4 Value Now - Fast, Simple, Sustainable © 2010 OSIsoft, LLC. All rights reserved 4 Meter Data Volumes – Yesterday, Today, and Tomorrow.

5. 5 Value now. Value over time. © Copyright 2010, OSIsoft LLC All rights Reserved. Beyond AMI: Example Data Flows Manual Substation Reads Monthly HAN 15minute collected daily Asset Management/ Substations Access to all data  CBM Multi-year history and reporting flexibility for analysis such as:  PF/Voltage/Var  DG  Loss  Load Multi-year history and real and near real-time data for:  Capacitor Operations  DG Status Multi-year history and real and near real-time data for:  PF/Voltage/Var Analysis  Capacitor Operations Source devices will evolve with new technologies and cost effectiveness Various data granularity and delivery frequencies that will increase over time CIS Accounting Financial Systems of Record (data streams not included in this scenario) IED Capacitor Control System

6. 6 Value Now - Fast, Simple, Sustainable © 2010 OSIsoft, LLC. All rights reserved Smart Infrastructure - “The Enabler” DATA MANAGEMENT INFRASTRUCTURE is ESSENTIAL Need a home for all this data – accessible & highly available Underpins and supports the entire Smart Grid Connectivity to disparate devices and data sources Data collection at original resolution – milliseconds to minutes Liberate data from secure, locked down proprietary systems Data analysis – ad hoc, event based, in real time Transformation to information for decision support Scalable – to millions of meters and values Extensible – to other databases, applications Communications – robust, fast, bidirectional

7. 7 Smart Generation Multiple Control systems’ data aggregated to improve unit and plant performance

8. 8 Value Now - Fast, Simple, Sustainable © 2010 OSIsoft, LLC. All rights reserved 8 Phase Angle Jumping - Grid Stability 5:00 PM 5:10 PM Phase Angle difference Continuing to grow. 60⁰ 120⁰ Diff

9. 9 Value Now - Fast, Simple, Sustainable © 2010 OSIsoft, LLC. All rights reserved 9 Substation Dashboard Level 3 – Asset View

10. 13 of top 15 Owner/Operators using PI to Manage Wind Farms Source: Emerging Energy Research

11. Value Propositions 1.Turbine Manufacturer Warranty Management – “Fox Watching the Hens” – “Bathtub Curve” Implications for LTSA Concept – Need: Focus on Top-Ten Sources 2.Increasing kWh produced – Wind Farm Operations – Turbine Availability – Turbine Operating Efficiency 3.Increasing value of kWh produced – Utility Operations – Improving utility integration (forecasting and scheduling) – Improving market value of power (real-time info to power marketing/trading floor) – VAR/Grid Stability Management 4.“Intangibles” – Corporate Requirements – Enterprise Integration, – Separation of Process Control Network from User/Enterprise – Regulatory & Reporting – Technology Risk Management – Perception and Reality

12. Asset Management Value Proposition Turbine Production Example Hours TurbineClass (kW) Capacity FactorAvailability Annual Expected Output (kWh)* Busbar Price /kWh Annual Cash Flow per WTG 876060033%100% 1,734,4800.0425 $ 73,715.40 8760100033%100% 2,890,8000.0425 $ 122,859.00 8760150033%100% 4,336,2000.0425 $ 184,288.50 8760200033%100% 5,781,6000.0425 $ 245,718.00 8760250033%100% 7,227,0000.0425 $ 307,147.50 8760500033%100% 14,454,0000.0425 $ 614,295.00 *Formula = Hours * Generator Capacity * Capacity Factor * Availability A typical utility scale wind farm may have 30 to 200 Turbines Large owners (e.g. Iberdrola – 3500MWs) may have thousands of turbines A single percentage point gain/loss of “in-market” availability (e.g. turbines available to operate when the wind is blowing) for Iberdrola Total Fleet would result in a 1 st Year ROI/loss of $4.3MUSD. NPV over 5 Years = $13.5MUSD @ 18% Discount Rate Based on US prices, power rate in Spain is.07 to.10/kWh produced For a Single Wind Farm of 150MWs: In a 1 st year ROI of $185,000 NPV over 5 years = $576,000 @ 18% Discount Rate

13. “Down on the Farm”

16. Excel Based Reporting

17. Turbine Performance – DLES Example

18. 18 Value Now - Fast, Simple, Sustainable © 2010 OSIsoft, LLC. All rights reserved 18 “Roll-up” Mechanism: Net KWh Roll-Up Load on meter data All AMI meters summed to one distribution transformer All distribution transformers summed to circuit segment Circuit segment summed up to feeder Total feeders summed to sub Key Points Each trend shown is aggregated load (kWh) up to the next higher trend from an individual meter, transformer, line segment, breaker and sub. If you overlay the Distribution SCADA load, the difference would be losses or leakage The physical model (CIM) allowing the aggregation and roll-up of individual loads End to end visibility – integrating meter and distribution system(s) operational data

19. 19 Value Now - Fast, Simple, Sustainable © 2010 OSIsoft, LLC. All rights reserved 19 Utility Landscape

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