1© 2008 OSIsoft, Inc. | Company Confidential

Edison Mission Energy:PI for the Next Generation (of Generation)

OSI Regional User Conference10/09/08

Jerry WeberManager of Operations Support

Midwest Generation - EME

2© 2008 OSIsoft, Inc. | Company Confidential

Our mix of Generation: Thermal8 coal-fired plants

• 6 in Illinois (MWGen)• 1 in Pennsylvania• 1 in West Virginia

9 gas-fired plants in California and Washington

3© 2008 OSIsoft, Inc. | Company Confidential

About Edison Mission GroupA major Independent Power Producer (IPP),

headquartered in Irvine, CA

30 Power Plants, 10,634 megawatts

Energy marketing and trading center in Boston, MA

Sister company to Southern California Edison

4© 2008 OSIsoft, Inc. | Company Confidential

Wind: our new generation of Generation! 18 Wind farms in Iowa,

Minnesota, New Mexico, Oklahoma, Pennsylvania, Texas and Wyoming.

Projects are pending in Illinois, Maine, Maryland, Nebraska, New York, Pennsylvania, Utah, West Virginia, Wisconsin and Wyoming.

We are one of the fastest growing developers of renewable energy.

5© 2008 OSIsoft, Inc. | Company Confidential

PI in our Coal FleetWe have a long and successful history (since mid

1990s) of using PI in our Coal power stations– PI is a vital operations tool

PI is used to:– Collect and archive data from our station control

systems– Trending and troubleshooting– Predictive maintenance– Interface with other analysis tools

6© 2008 OSIsoft, Inc. | Company Confidential

PI is very good at…

CollectingArchivingDisplaying (OK, we knew that)

TrendingCorrelatingCalculatingMake Decisions

Tactical

Strategic

7© 2008 OSIsoft, Inc. | Company Confidential

Coal Plant Performance Monitoring Revolves Around PIPI stores data from control systemPerformance tags sent to PmaxPmax calculates

– Heat Rate– Controllable losses– Boiler and turbine efficiency– Furnace cleanliness– Other performance parameters

Writes data back to PI for trending and storageData presented to operations using Process Book

8© 2008 OSIsoft, Inc. | Company Confidential

PI examples in our Coal Fleet: Superheat and Reheat Furnaces

9© 2008 OSIsoft, Inc. | Company Confidential

PI examples in our Coal Fleet:Steam Turbines

Turbines

10© 2008 OSIsoft, Inc. | Company Confidential

PI examples in our Coal Fleet: Controllable Loss Summary

11© 2008 OSIsoft, Inc. | Company Confidential

PI examples in our Coal Fleet:LP Feedwater Heaters

12© 2008 OSIsoft, Inc. | Company Confidential

PI examples in our Coal Fleet: High Pressure Feedwater Heaters

13© 2008 OSIsoft, Inc. | Company Confidential

How do we apply this to Wind?

14© 2008 OSIsoft, Inc. | Company Confidential

Wind and Coal Generation Differences Wind Many generation units per site,

1-2.5 MW each

All generation units are the same at each site

Generation units are relatively simple in design

Data sources are few and fairly uniform

Major equipment is 200-300 feet in the air!

Coal 1-3 generation units per site,

150-850 MW each

Generation units are often of a unique design

Generation units have multiple complex systems

Data sources are many and diverse

Major equipment generally in a building

15© 2008 OSIsoft, Inc. | Company Confidential

PI and Wind are a good fitQuick results: For same manufacturer, “Do one,

you’ve done them all”, all turbines have the same tag list

Need for monitoring: Wind sites are remote, sometimes un-staffed

Many needs for information: technical, operational, financial

Optimization opportunities: use PI information strategically

16© 2008 OSIsoft, Inc. | Company Confidential

PI and Wind: our decision and strategy

1. Embed PI in EVERY Wind project

2. Became an Enterprise customer

17© 2008 OSIsoft, Inc. | Company Confidential

Challenge #1:Establish a PI infrastructure design

PI Node

PI Node

PI Node

Wind Site A

Wind Site B

Wind Site C

Irvine

Master PI Server

18© 2008 OSIsoft, Inc. | Company Confidential

Challenge #2:The PI – Turbine Tag MarriageThe challenge:We use Wind turbines from multiple manufacturers

Each manufacturer/turbine model has a a unique tag list and nomenclature

Tags must be used to provide common performance monitoring and measurement across multiple turbine types

The solution:A common strategy for tag collection and naming – tag aliasing

PI Module Database

PI ACE

19© 2008 OSIsoft, Inc. | Company Confidential

Turning data into measurement and management

Calculate various operating parameters– Number of turbines running– Number of turbines in various outage states– Power curve

The generation industry has standard calculations to measure performance, including:– Operating hours, outage hours, low and high wind hours, etc.– Equivalent Availability Factor (EAF)– Net Capacity Factor (NCF)– Net Output Factor (NOF)– Etc

The PI Advanced Computing Engine (PI ACE) combined with the PI Module Database (PI MDB) are being used to develop these and other performance and measurement calculations for our Wind sites.

Project is currently on-going with Global Automation Partners (GAP)

20© 2008 OSIsoft, Inc. | Company Confidential

Future opportunities:Using pattern recognition

Turbine AGenerationWind SpeedTemperature

Turbine BGenerationWind SpeedTemperature

Turbine CGenerationWind SpeedTemperature

21© 2008 OSIsoft, Inc. | Company Confidential

Pattern RecognitionCoal and wind units data correlates well and is fairly

consistentWhat if we could automatically determine when a

parameter was abnormal before we experienced an alarm from the control system?– Time to analyze the cause (instrument or process)– Time to schedule maintenance– Reduce unplanned events

Software available to analyze a large PI data sampling to determine patterns and make predictions

Write predicted values to Pi for storageAutomated reporting when parameters are out of limitsProject underway with Scientech - PDP Pattern

recognition Software for both Wind and Coal Units

22© 2008 OSIsoft, Inc. | Company Confidential