Intellectual Property Statement

1. Intellectual Property Statement • This proposal/presentation is strictly confidential. It is made available to prospective clients with the understanding that it will not be shown, read or passed to any other person who is not a current employee of your organization. • This proposal/presentation has been developed by Engineering Consultants Group Inc. and will remain its property until such a time as a formal contract for the project is finalized with the client, as such the content may not meanwhile be disclosed by the client to any third party, nor may any original concept devised by Engineering Consultants Group Inc. be used commercially. If the client decides not to proceed with the project, selects another consulting firm, or decides to conduct the project itself, we request return of this proposal/presentation together with assurances that no photocopies of this proposal/presentation have been made.

2. Implementations of Digital Fuel Tracking Systems at Large Coal Fired Power Plants AccuTrack – Challenges Tracking Coal Mike Santucci, ECG Michael Dunlap, DTE Jim Mooney, JRM Engineering Consultants Group-Inc May 1 – 3, 2007 Rosemont, Illinois

3. The Opportunity Fuels Opportunity Challenges Objective to Achieve Success • Rising Coal Prices • Increased Market Volatility • New Regulations • Yard Constraints • Fuel Flexibility • Adaptive Compliance • Be a key provider and enabler of information • Enable Operational Excellence – Maximize Plant Output • Make Real Time Data Actionable • Minimize Risk while Capitalizing Fuel Opportunities “Timed Delivery”

4. Example Fuel Blending for Capacity MCR August Lost Opportunity ~$1.2M Rail Delivery Rail Delivery Coal Capacity

5. Rocket Hi Value Mids Full Load Fuels Design Fuel

6. OBJECTIVE Optimize “Hi Value Coal ” UtilizationCapture Value of Burning “The Right Fuel at the Right Time”Understand Coal QualityUnderstand the Risk

7. Observations Hurdles to Overcome Equipment Deficiencies Recommendations • Scales are not functioning properly, and are outdated. • Sampler Systems are inoperable. • Annunciator Alarm Panel is not functioning. • Some Equipment necessary to Automate Yard is missing. • No FEGT Monitors • Replace/Install 5 Scales • Replace As-Received and As-Fired Samplers with Modular Systems • Digitize Alarm Panel in PI • Install Necessary Equipment • Install FEGT Monitors © 2007 Engineering Consultants Group, Inc. – All Rights Reserved.

8. Observations Hurdles to Overcome Data Deficiencies Recommendations • Information is calculated or inferred • Corporate Fuels Data is not available at the Plant • Yard Equipment not Digitized • Stand Alone Spreadsheet Reporting “Satellites” • Use Plant Weights and Measures • Create Web Based System available to all. • Update Control System to Automate Coal Yard – Write Data to PI system. • Consolidate integrate and eliminate

9. Observations Hurdles to Overcome Operational Deficiencies Recommendations • Pulverizer Capacity Limitations due to Fuel • Slagging Potential • No Coal Segregation • Coal yard is managed for the most efficient use of available manpower rather than the most efficient use of fuels. • Fuel Characterization - HGI Blending Mill Capacity Improvements • Operator Advisory Screen • Manufacture Coal to meet Mission • Staff Yard Appropriate to Mission

10. 25 day inventory is about 300K Hi Value Fuel Mids Performance Fuel Hurdles to Overcome

11. Overall Project Approach Phase I Phase II Phase III Financial Processes Validate and Develop Detailed Design Implement and Install Processes and Reporting Identify Current State Identify Current Opportunity Communication and Change Value-Based Measures

12. Benefits of Overall Approach Undertaking these initiatives will maximize the return on efforts to achieve key elements of any Corporate strategy: • Maximizing Generation – In a market where Reserve Margin Forecasts are dropping from 11 to 6% over the next 3 years. • Fuel Flexibility – Burn the “right fuel at the right time”. • Environmental Compliance – Understand Fuel Impacts to the Boiler and Air Quality Control Systems in Complying with more stringent environmental limitations enacted by the state. • Accurate Reporting of Inventory – Asset Reporting Accuracy required by Sarbanes Oxley Legislation © 2007 Engineering Consultants Group, Inc. – All Rights Reserved.

13. Most accurate methods available are used to calculate and display predicted burn times Predicted Burn Time Discussion • AccuTrack Elemental Bunker Model calculates the predicted burn time by evaluating the predicted burn time of each element in the model • A simple model might capture a “slice” through the geometry of the bunker to calculate the predicted burn time.

14. Overall Project Approach - Timing Phase I Phase II Phase III Financial Processes Validate and Develop Detailed Design Implement and Install Processes and Reporting Identify Current Opportunity Develop and Validate Detailed Design Communication and Change Value-Based Measures

15. Real-time Calculations and Processing Inputs Tracking Silo Fills Tracking Shipment Unloads Tracking Yard Inventory Yard and Plant Real-Time Data On-the-Belt Blending Shipment Status On-Hand Inventory Quantities & Specs Results Manual Inputs Unload Quantities Loading Destinations Website Interface MS SQL Server Audit Inventories with Corporate Fuel Type & Feeder Quantities Unload Destinations Corporate Fuel Data Systems Process Book Client OSI PI Server Shipment Coal Specs Vendor/ Internal Lab Data Fill Coal Specs Shipment Variance Results Silo/Bunker Flow Model On-Line Analyzer Data DFTS Server Day Ahead Dispatch Bringing All Parties to the Table Dedicated server with MS SQL and ECG’s server-side tracking software

16. AccuTrack Objectives: Software Objectives: • Track incoming coal tons and fuel spec from Mine to Yard to Bunker to Burner • Blend Coal to Bunkers to meet Quality and Economic Objectives • Creates Transactions for each Fueling Event • Provide Tools to Avoid Boiler Upsets while Maintaining Consistent Emissions

17. Rotary Rail Unloader Ship Unloader Overhead unload tripper Low Sulfur Southern Low Sulfur Western Med Sulfur Eastern Sampling building with analyzer off C4 Fuel System Overview • Ship Unloading System • Two 72 inch belts that support ~5000 TPH • Unloads a 32,000 ton ship in ~8 hours • Train Unloading System • 72 inch belt that supports ~5000 TPH • Unloads a 14,000 ton train in ~6 hours • Reclaim • 6 rotary plow feeders support ~2200 TPH • Specifically designed for blending 3 types of coal • An emergency reclaim is available at ~1400 TPH • 28 silos (7 per unit) that hold 380 tons each (10,640 total) • Consumption • 1350 TPH at full load (~5.5 hr capacity) • Overall • 13 belt scales • ~60 gates and over 160 field inputs used in tracking system • X-Ray type coal analyzer

18. 13 belt scales Calibrated Reference Scale 6 Rotary plow feeders Analyzer 28 silos OLCA ~60 gate indicators Fuel System Overview

19. Real-time Graphics: Overview System health Inventory results On-the-belt coal specs Analyzer results Silo desintations Vendor supplied specs Tripper locations Blending results

20. Fuel Characterization – Blending Tools Factors affecting Slag-Fouling • Coal Quality • Temperature • Atmosphere Suggested Blend has a Medium potential to form Slag in This Furnace

21. Unload/Bunker Transactions • Real Time Data Integrated and Processed into tables on the SQL Server • Simplifies the data management by summarizing “signals” in PI • Easier to maintain system data (database modifications) • Faster reporting • New bunker transactions created: • Conveyor scale reading is close to zero 30 seconds • Change in destination silo • Change in Blend Scale Total Scale 1 Scale 2

22. Silo Model Example … Example: • 25 data points from flow rate over 4 minutes • Integrated tons=44 • 3 data points from on-line coal analyzer (updating every 2 min.) • Time-weighted average BTU=11414 • This data is used to build a bunker transaction as shown above (i.e. start time, end time, tons, fuel type blend, unit, silo, analyzer data) • This 44-ton record will be used to build the layer in the bunker model • Bunker transactions are averaged (weighted) together to build the layer

23. Granular Particle Flow

24. Silo Model

25. Silo Model – Tracer Testing

26. Material That will be removed 2 Hours from Now Silo Model

27. Silo Model – Tracer Testing RFID Chips Tracer Testing Method RFID Reader

28. Other Challenges Challenges: • Delay from one Scale to another • Update Frequency of Analyzer • Calibration of Analyzer • Bad Inputs • Mixing in Open Bunkers • Projecting Day Ahead Load • Handling Unit Derates

29. Constraint Tracking and Capacity Declarations Unit Constraint Tracking Fuel Quality’s impact on load.

30. Load Forecasting and Commitments

31. Upstream Scale Downstream Scale ta1 tb1 Steady state flow ta2 tb2 Scale Validation • Compares upstream scales to downstream scales • Three different health conditions for scales • Good (Green) • Warning (Yellow) • Bad (Red) • Web reports are used to display scale comparison details • PI-ProcessBook is used to summarize health of scales • Email notification is used to alert scale problems

32. Early Warning Indication Low Alarm: Opacity potential for the next 2 hours • PI-ProcessBook displays provide real-time data • Simple table of forecasted data allows operators to adjust for changes in coal • Adjust excess air • Bias mills on lower rows • Adjust load • Modify soot blowing schedule • Color-coded variables provide visual alarming • Green: Ok • Yellow: Low Alarm • Red: High Alarm High Alarm: Slagging potential in 4 hours Note: This screen was developed by Dave Tillman, DTE

33. All end-user reports support print versions and exporting to Excel. Some support charts. • One record per day • Four records per day (one for each unit) • Report selectors allow users to format the output • Raw transactions in database • Coal specs • CVC4 is used for total tons loaded • Plow feeder scales are used to calculate blend Web Reporting: Bunker Reports

34. All unload reports use PI as data source. Plant belt scale tons are displayed. Tripper position is used for determining fuel type. • Shipment reports use corporate FMS as data source. Vendor tons are displayed. FMS data is downloaded once per hour. • Reports can be filtered by different variables using report selector • One record per day Web Reporting: Shipment & Unload Reports

35. Troubleshooting and Reporting Silo Fills • Historical reports via web browser • Exact on-the-belt blend results for any loading period • On-line analyzer results (wt. average) can be reported by silo • Many other operational details can be investigated though detailed reports

36. Shipment Unload Variance Reports 3,149 tonsdifferent Details

37. Real-time Graphics: Analyzer Samples • Current sample along with 8 samples back

38. Coal Analyzer vs Lab Sample Reporting • X-ray technology • ~20 coal property variables • 2 minute updates • Initial sampler problems • Reliable for the past 12 months

39. Coal Properties Being Tracked • Coal properties tracked through the silos: • BTU (Btu/lb) • Cost ($/MBtu) • SO2 (lb/MBtu) • AshLoading (lb/MBtu) • BARatio • Moisture (%) • Iron (%) • Calcium (%) • Si+Al (%) • Alkalinity • Volatility • OLA Health • OLCA produces additional properties not listed • The list of coal properties being tracked through the silos was developed by Dave Tillman, DTE • Refer to Dave’s training for more information • Slag/Fouling Contol • Boiler Efficiency (I/O Method) • Fly Ash Resistivity Model

40. Lessons Learned • Key variables to track will depend on unit limitations and circumstances • Monroe: Opacity, slagging and fouling • Backup data (pile averages) for the analyzer was worthwhile • Sampler and analyzer outages • Estimation is surprisingly accurate while blending 2 or 3 coals • Permissives are required where operators are providing manual inputs • Belt scales will differ • Need continuous calibration and validation • Maintenance plan is needed • For PI and other IT outages

41. Maintenance Plan • Software maintenance plan is advised to ensure system integrity • Daily tasks to check the system health • Correct AccuTrack database for missing or corrupt data due to PI or AccuTrack outages • Monthly tasks to verify data • Monthly reports on fuel activity and system availability • Training for new users • Software updates and enhancements

42. Event-Based E-Notifications from PI

43. Summary • Inventory Control is accomplished by measuring the inputs from Corporate Fuel Management Systems and Plant Data Collection (scales-levels-meters) • Fuel Flexibility is created through real time integration of Accounting Fuel Management Systems with Plant Performance initiatives. • Operating with Precision is burning the “right fuel @ the right time” to support the plant mission and Environmental requirements “One cannot manage what is not measured” W. Edwards Deming, father of Total Quality Management Philosophy of Mirant’s Coal Processes

44. AccuTrack References • Pennsylvania • Penn Power’s Bruce Mansfield Plant • 3 units • 2300 MW • Blends Three Primary Fuels • Ohio • FirstEnergy’s Eastlake Plant • 5 units • 1200 MW • Blending PRB • Michigan • Detroit Edison’s Monroe Plant • 4 units • 2600 MW • Undersized Precips are sensitive to fuel changes