CREATION AND CORRECTION OF FUTURE TIME INTERVAL POWER GENERATION CURVES FOR POWER GENERATION COSTING AND PRICING

• US 20060106740A1
• Filed: 11/12/2004
• Published: 05/18/2006
• Est. Priority Date: 11/12/2004
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Williams, Scott, Gomer, Richard, Holzbauer, Bryan, Kwan, Stephen, Jenkins, Shane, Maxson, James A.
• Application Number:
  US10/904,494
• Publication Number:
  US 20060106740A1
• Time in Patent Office: Days
• US Class Current: 705/412
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

Methods, apparatus, and articles of manufacture such as software media for creating projected power production data are disclosed. The method may comprise storing historical heat rate data and historical process information for at least one power generation unit in a historical heat rate database. The method may also comprise retrieving the historical heat rate data from the database for a selected time interval and correcting the historical rate data using correction factors which may be based on differences between the historical process information and projected process information; and creating a projected cost or a projected price for a future time interval based on the retrieved historical heat rate data.

Claims

1. A method for creating projected power production data comprising:

storing historical heat rate curves and historical process information for at least one power generation unit in a historical heat rate curve database;

retrieving at least one historical heat rate curve from the database for a selected time interval;

correcting the at least one historical rate curve using correction factors which are based on differences between the historical process information and projected process information; and

creating a projected cost curve for a future time interval based on at least one corrected historical heat rate curve.

2. The method of claim 1 further comprising:

creating a projected future price curve based on the projected cost curve and at least one profit adjustment.

3. The method of claim 1 wherein the creating the projected cost curve for a future time interval from the at least one retrieved historical heat rate curve comprises:

providing breakpoints at load levels of produced power in the at least one historical heat rate curve; and

providing the breakpoints at load levels of produced power also in the created projected cost curve.

4. The method of claim 1 wherein the creating the projected cost curve for a future time interval from the at least one retrieved historical heat rate curve comprises:

computing the projected cost curve from breakpoints located at load levels of produced power in the at least one historical heat rate curve.

5. The method of claim 1 wherein the retrieving at least one historical heat rate curve from the database for a selected time interval further comprises:

configuring the retrieving so that the selected time interval and the correction factors are selectable via a user interface.

6. The method of claim 1 wherein the creating the projected cost curve for a future time interval from the at least one retrieved historical heat rate curve comprises:

retrieving at least two historical heat rate curves from the database for a selected time interval; and

averaging the historical heat rate curves together to form an averaged historical rate curve to be used in the creating a projected cost curve for a future time interval.

7. The method of claim 1 wherein the method is repeated for additional selected time intervals.

8. The method of claim 6 wherein the method is repeated for additional selected time intervals and wherein the projected cost curves for each future time interval are averaged together to form an averaged projected cost curve for all of the additional selected time intervals.

9. The method of claim 7 wherein the method is repeated until the selected time intervals create a set of a projected cost curves covering a 24 hour period.

10. The method of claim 2 wherein the method is repeated so that the selected time intervals create a set of a projected price curves covering a 24 hour period.

11. The method of claim 1 wherein the method of storing historical heat rate curves for at least one power generation unit in a historical heat rate curve database comprises:

stamping the heat rate curve with an identifying stamp that includes historical process information from the group consisting of historical ambient temperature, historical humidity, historical inlet cooling water temperature, and historical heating value of a fuel source.

12. An apparatus for creating projected power production data comprising:

a database for storing and retrieving historical heat rate data and historical process information for at least one power generation unit; and

a computer having access to the database for creating projected future estimates of costs to produce power from the at least one power generation unit based on the historical heat rate data and based on correction factors which are based on differences between historical process information and projected process information.

13. The apparatus of claim 12 wherein the computer also creates projected future estimates of prices to sell the produced power from the at least one power generation unit based on the projected future estimates of costs.

14. The apparatus of claim 12 wherein the computer also produces a graphical representation on a display of the projected future estimates of costs to produce power from the at least one power generation unit based on the historical heat rate data and the correction factors.

15. The apparatus of claim 13 wherein the computer also produces a graphical representation of the projected future estimates of price to sell produced power from the at least one power generation unit based on the historical heat rate data and the correction factors.

16. One or more computer-readable media having computer-readable instructions thereon which, when executed by a computer, cause the computer to:

retrieve at least one historical heat rate curve from a database for a selected time interval;

correct the at least one historical rate curve with correction factors which are based on differences between historical process information and projected process information; and

create a projected cost curve for a future time interval from the at least one corrected historical heat rate curve.

17. The computer-readable media of claim 16 further comprising instructions which cause the computer to:

create a projected future price curve based on the projected cost curve and at least one profit adjustment.

18. The computer-readable media of claim 16 further comprising instructions which cause the computer to:

provide breakpoints at load levels of produced power in the at least one historical heat rate curve; and

provide the breakpoints at load levels of produced power also in the created projected cost curve.

19. The computer-readable media of claim 16 further comprising instructions which cause the computer to:

compute the projected cost curve from breakpoints located at load levels of produced power in the at least one historical heat rate curve.

20. One or more computer-readable media having computer-readable instructions thereon which, when executed by a computer, cause the computer to:

receive a heat rate curve from a power generation unit;

stamp the heat rate curve with an identifying stamp and correlate it to process information affecting the heat rate; and

store the heat rate curve from the power generation unit in a historical heat rate curve database.

21. A method of a preparing a bid to sell power for a future time interval by modeling power generation costs and selling prices for a future time interval comprising:

storing historical heat rate curves with historical process information affecting the heat rate curves for at least one power generation unit in a historical heat rate curve database;

retrieving at least one historical heat rate curve with historical process information from the database for a selected time interval;

correcting the at least one historical rate curve with correction factors which are based on differences between historical process information and projected process information;

modeling a projected cost curve for a future time interval based on the corrected at least one retrieved historical heat rate curve;

modeling a projected price curve for a future time interval based on the projected cost curve and a profit adjustment factor; and

creating a bid to sell power from the projected cost curve and the projected price curve for the future time interval.

22. The method of claim 21 wherein the modeling the projected cost curve for a future time interval from the at least one retrieved historical heat rate curve comprises:

providing breakpoints at load levels of produced power in the at least one historical heat rate curve; and

providing the breakpoints at load levels of produced power also in the created projected cost curve.

23. The method of claim 21 wherein the modeling the projected cost curve for a future time interval from the at least one retrieved historical heat rate curve comprises:

computing the projected cost curve from breakpoints located at load levels of produced power in the at least one historical heat rate curve.

24. The method of claim 21 wherein the retrieving at least one historical heat rate curve from the database for a selected time interval further comprises:

configuring the retrieving so that the selected time interval and correction factors is selectable via a user interface.

25. The method of claim 21 wherein the modeling the projected cost curve for a future time interval from the at least one retrieved historical heat rate curve comprises:

retrieving at least two historical heat rate curves from the database for a selected time interval; and

averaging the historical heat rate curves together to form an averaged historical rate curve to be used in creating a projected cost curve for a future time interval.

26. The method of claim 21 wherein the method is repeated for additional selected time intervals.

27. The method of claim 21 wherein the method is repeated for additional selected time intervals and wherein the projected cost curves for each future time interval are averaged together to form an averaged projected cost curve for all of the additional selected time intervals.

28. The method of claim 26 wherein the method is repeated until the selected time intervals create a set of a projected cost curves and projected price curves covering a 24 hour period.

29. The method of claim 21 wherein the storing historical heat rate curves with historical process information affecting the heat rate curves for at least one power generation unit in a historical heat rate curve database comprises:

stamping the heat rate curve with an identifying stamp and correlating the heat rate curve to process information affecting the heat rate curve from the group of process information consisting of historical ambient temperature, historical humidity, historical inlet cooling water temperature, and historical heating value of a fuel source.

30. A system for creating projected power production data comprising:

means for storing and retrieving historical heat rate data and historical process information of at least one power generation unit; and

means for creating projected future estimates of costs to produce power from the at least one power generation unit based on the historical heat rate data and based on correction factors which are based on differences between historical process information and projected process information.

31. The system of claim 30 further comprising:

means for creating projected future estimates of prices to sell produced power from the at least one power generation unit based on the projected future estimates of costs.

32. The system of claim 30 further comprising:

means for producing a graphical representation of the projected future estimates of costs to produce power from the at least one power generation unit based on the historical heat rate data and the correction factors.

33. The system of claim 31 further comprising:

means for producing a graphical representation of the projected future estimates of price to sell produced power from the at least one power generation unit based on the historical heat rate data and the correction factors.

34. A method for creating projected power production data comprising:

storing historical heat rate data and historical process information for at least one power generation unit in a historical heat rate database;

retrieving historical heat rate data from the database for a selected time interval;

correcting the historical rate data using correction factors which are based on differences between the historical process information and projected process information; and

creating a projected cost for a future time interval based on the corrected historical heat rate data.

35. The method of claim 34 further comprising:

creating a projected future price to produce power for the selected time interval based on the projected cost and at least one profit adjustment.

36. One or more computer-readable media having computer-readable instructions thereon which, when executed by a computer, cause the computer to:

retrieve historical heat rate data from a database for a selected time interval;

correct the historical rate data with correction factors which are based on differences between historical process information and projected process information; and

create a projected cost for a future time interval from the historical heat rate data.

37. A method of preparing a bid to sell power for a future time interval by modeling power generation costs and selling prices for a future time interval comprising:

storing historical heat rate data with historical process information affecting the heat rate data for at least one power generation unit in a historical heat rate database;

retrieving historical heat rate data with historical process information from the database for a selected time interval;

correcting the historical rate data with correction factors which are based on differences between historical process information and projected process information;

modeling a projected cost for a future time interval based on the historical heat rate data;

modeling a projected price for a future time interval based on the projected cost and a profit adjustment factor; and

creating a bid to sell power from the projected cost and the projected price for the future time interval.