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