Design method for nuclear reactor fuel management

• US 6,748,348 B1
• Filed: 12/30/1999
• Issued: 06/08/2004
• Est. Priority Date: 12/30/1999
• Status: Expired due to Term

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Russell, William E. II
• Primary Examiner(s): Teska, Kevin J.
• Assistant Examiner(s): GARCIA OTERO, EDUARDO
• Application Number:
  US09/475,309
• Time in Patent Office: 1,622 Days
• Field of Search: 703/6, 703/1, 700/28
• US Class Current: 703/6
• CPC Class Codes: G21D 3/001 Computer implemented control
• CPC Class Codes: G21D 3/08 Regulation of any parameters in the plant
• CPC Class Codes: Y02E 30/00 Energy generation of nuclear origin
• CPC Class Codes: Y02E 30/30 Nuclear fission reactors

Abstract

In the design method for nuclear reactor fuel management, nuclear reactor operation for sets of independent control variable values is simulated to produce associated sets of dependent performance variable values. Transfer functions are generated based on the sets of independent control variable values and the sets of dependent performance variable values. The transfer functions represent relationships between the independent control variables and the dependent performance variables. Additional sets of dependent performance variable values are then generated for additional sets of independent control variable values using the generated transfer functions. A set of independent control variable values for possible use in operating a nuclear reactor is then determined based on the sets of dependent performance variable values and the additional sets of dependent performance variable values.

Claims

1. A design method for nuclear reactor fuel management, comprising:

first simulating nuclear reactor operation for sets of independent control variable values to produce associated sets of dependent performance variable values;

generating polynomials based on the sets of independent control variable values and the sets of dependent performance variable values, the polynomials representing relationships between the independent control variables and the dependent performance variables;

generating additional sets of dependent performance variable values for additional sets of independent control variable values using the generated polynomials; and

determining a set of independent control variable values for possible use in operating a nuclear reactor based on the sets of dependent performance variable values and the additional sets of dependent performance variable values.

2. The method of claim 1, wherein the first simulating step simulates nuclear reactor operation for more than one set of independent control variable values concurrently.

3. The method of claim 1, wherein the first simulating step comprises:

simulating nuclear reactor operation for a base set of independent control variable values to produce a base set of dependent performance variable values;

generating, from the base set of independent control variable values, at least first and second modified sets of independent control variable values associated with each independent control variable in a selected group of independent control variables; and

simulating nuclear reactor operation for each of the first and second modified sets of independent control variable values to produce first and second modified sets of dependent performance variable values.

4. The method of claim 3, wherein the generating step, for each independent control variable in the selected group, modifies the independent control variable value in the base set by a first offset to create the first modified set and modifies the independent control variable value in the base set by a second offset to create the second modified set.

5. The method of claim 4, wherein the first offset increases the independent control variable value and the second offset decreases the independent control variable value.

6. The method of claim 3, wherein the generating polynomials step generates a set of polynomials for at least each independent control variable in the selected group based on the base, first modified and second modified sets of independent control variable values and the base, first modified and second modified sets of dependent performance variable values, each polynomial representing a relationship between one of the independent control variables in the selected group and one of the dependent performance variables.

7. The method of claim 6, wherein the generating polynomials step comprises:

normalizing each of the first modified and second modified sets of dependent performance variable values with respect to the base set of dependent performance variable values; and

generating the polynomials based on the base, first modified and second modified sets of independent control variable values and the base, normalized first modified and normalized second modified sets of dependent performance variable values.

8. The method of claim 6, wherein the generating polynomials step comprises:

normalizing each of the first modified and second modified sets of dependent performance variable values with respect to the base set of dependent performance variable values; and

mapping relationships between each of the independent control variables in the selected group and each of the dependent performance variables to a polynomial based on the base, first modified and second modified sets of independent control variable values and the base, normalized first modified and normalized second modified sets of dependent performance variable values.

9. The method of claim 8, wherein the polynomials are second order polynomials.

10. The method of claim 8, further comprising:

storing the coefficients of the polynomials as a response surface.

11. The method of claim 10, wherein the generating additional sets step generates the additional sets using the response surface.

12. The method of claim 11, wherein the generating additional sets step generates at least one additional set of dependent performance variable values that corresponds to a set of independent control variable values where more than one independent control variable has a value that differs from that in the base set of independent control variable values.

13. The method of claim 12, wherein the generating additional sets step generates the additional sets of dependent performance variable values for exhaustive sets of independent control variable values between the first and second offsets associated with each independent control variable value.

14. The method of claim 1, wherein the generating additional sets step generates at least one additional set of dependent performance variable values that corresponds to a set of independent control variable values representing changes in more than one independent control variable value.

15. The method of claim 14, wherein the generating additional sets step generates the at least one additional set of dependent performance variable values that corresponds to a set of independent control variable values representing changes in more than one independent control variable value by superposition of results from more than one polynomial.

16. The method of claim 1, wherein the generating additional sets step generates the additional sets of dependent performance variable values for exhaustive sets of independent control variable values between a selected range for each independent control variable in a selected group of independent control variables.

17. The method of claim 1, wherein the determining step comprises:

applying an objective function to at least a selected group of the additional sets of dependent performance variable values; and

selecting a set of independent control variable values based on the objective function values.

18. The method of claim 17, further comprising:

second simulating nuclear reactor operation for the selected set of independent control variable values; and

deciding whether the selected set of independent control variable values provides an improvement in nuclear reactor operation based on results of the second simulating step.

19. The method of claim 18, further comprising:

marking the selected set of independent control variable values as not a verified improvement when the deciding step decides no improvement; and

repeating the selecting, the second simulating and deciding steps after the removing step.

20. The method of claim 19, wherein the selected group includes sets of dependent performance variable values corresponding to sets of independent control variable values meeting a desired resolution, the desired resolution indicating a number of independent control variables having their value changed in forming a set of independent control variable values.

21. The method of claim 18, wherein:

the first simulating step includes,

simulating nuclear reactor operation for a base set of independent control variable values to produce a base set of dependent performance variable values;

generating, from the base set of independent control variable values, at least first and second modified sets of independent control variable values associated with each independent control variable in a selected group of independent control variables; and

simulating nuclear reactor operation for each of the first and second modified sets of independent control variable values to produce first and second modified sets of dependent performance variable values; and

further comprising,

repeating the generating additional sets, the determining, the second simulating and the deciding steps using the selected set of independent control variable values as the base set of independent control variable values when the deciding step decides the produced set of independent control variable values provides an improvement.

22. The method of claim 18, wherein

the first simulating step simulates reactor operation for a base set of independent control variable values to produce a base set of dependent performance variable values, generates first modified and second modified sets of independent control variable values corresponding to each independent control variable in a selected group of independent control variables, and simulates reactor operation for each of the first modified sets of independent control variable values and each of the second modified sets of independent control variable values to produce associated sets of dependent performance variable values, the first modified sets having the value of the corresponding independent control variable incremented by a first offset and the second modified sets having the value of the corresponding independent control variable decremented by a second offset.

23. The method of claim 22, further comprising:

reducing a range defined by the first offset and second offset corresponding to at least one of the independent control variables when the deciding step decides the selected set of independent control variable values does not provide an improvement; and

repeating, after the reducing step, the first simulating, the generating polynomials, the generating additional sets, the determining, the second simulating and the deciding steps.

24. The method of claim 23, further comprising:

determining, prior to the reducing step, whether a range defined by the first offset and second offset corresponding to at least one of the independent control variables is permitted; and

outputting the set of independent control variable values corresponding to the set of dependent performance variable values obtained through simulation that have the highest object function value when the determining step determines no further reductions are permitted.

25. The method of claim 24, wherein the selected group includes sets of dependent performance variable values corresponding to sets of independent control variable values meeting a desired resolution, the desired resolution indicating a number of independent control variables having their value changed in forming a set of independent control variable values.

26. The method of claim 1, wherein the determining step determines at least one set of independent control variable values based on application of an objective function to the sets of dependent performance variable values and the additional sets of dependent performance variable values.

27. The method of claim 26, wherein the determining step confirms the at least one determined set of independent control variable values through simulation.

28. The method of claim 17, wherein the selected group includes sets of dependent performance variable values corresponding to sets of independent control variable values meeting a desired resolution, the desired resolution indicating a number of independent control variables having their value changed in forming a set of independent control variable values.

29. A design method for nuclear reactor fuel management, comprising:

first simulating nuclear reactor operation for sets of independent control variable values to produce associated sets of dependent performance variable values;

generating polynomials based on the sets of independent control variable values and the sets of dependent performance variable values, the polynomials representing relationships between the independent control variables and the dependent performance variables;

using the polynomials to obtain sets of dependent performance variable values based on corresponding sets of independent control variable values;

applying an objective function to sets of the dependent performance variable values; and

selecting at least one set of independent control variable values based on the objective function values;

first simulating nuclear reactor operation for the produced set of independent control variable values; and

deciding whether the produced set of independent control variable values provides an improvement in nuclear reactor operation based on results of the simulating step.

30. The method of claim 29, wherein, in the obtaining step, the sets of independent control variable values are derived from a base set of independent control variable values.

31. The method of claim 30, further comprising:

repeating the obtaining, applying, selecting, first simulating and deciding steps using the selected set of independent control variable values as the base set of independent control variable values when the deciding step decides the selected set of independent control variable values provides an improvement.

32. The method of claim 31, further comprising:

establishing polynomials based on the base set of independent control variable values, the polynomials representing a relationship between each independent control variable in a selected group of independent control variables and each dependent performance variable; and

wherein

the obtaining step derives the sets of dependent control variable values based on the polynomials for variations in at least each independent control variable in the selected group within a value range associated with that independent control variable.

33. The method of claim 32, further comprising:

reducing the value range corresponding to at least one of the independent control variables when the deciding step decides the selected set of independent control variable values does not provide an improvement; and

repeating, after the reducing step, the obtaining, applying, selecting, first simulating and deciding steps.

34. The method of claim 33, further comprising:

determining, prior to the reducing step, whether a range defined by a first offset and a second offset corresponding to at least one of the independent control variables can be reduced; and

outputting the set of independent control variable values corresponding to the set of dependent performance variable values obtained through simulation that has the highest objective function value.

35. The method of claim 29, further comprising:

marking the selected set of independent control variable values as not a verified improvement when the deciding step decides no improvement; and

repeating the obtaining, the applying, the selecting, the first simulating and deciding steps after the removing step.

36. The method of claim 35, wherein the applying step applies the objective function to at least a selected group of the sets of dependent performance variable values, the selected group includes sets of dependent performance variable values corresponding to sets of independent control variable values meeting a desired resolution, the desired resolution indicating a number of independent control variables having their value changed in forming a set of independent control variable values.

37. The method of claim 29, further comprising:

simulating reactor operation for a base set of independent control variable values to produce a base set of dependent performance variable values;

generating first modified and second modified sets of independent control variable values corresponding to each independent control variable in a selected group of independent control variables, the first modified sets having the value of the corresponding independent control variable incremented by a first offset and the second modified sets having the value of the corresponding independent control variable decremented by a second offset; and

simulating reactor operation for each of the first modified sets of independent control variable values and for each of the second modified sets of independent control variable values to produce associated sets of dependent performance variable values.

38. The method of claim 37, further comprising:

generating polynomials based on the sets of independent control variable values and the sets of dependent performance variable values, the polynomials representing relationships between the independent control variables and the dependent performance variables; and

wherein

the obtaining step generates additional sets of dependent performance variable values for additional sets of independent control variable values using the generated polynomials.