TURBINE OPERATION DEGRADATION DETERMINATION SYSTEM AND METHOD

• US 20110106680A1
• Filed: 03/05/2010
• Published: 05/05/2011
• Est. Priority Date: 10/30/2009
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Vittal, Sameer, Nanda, Subrat, Pandey, Achalesh Kumar, Hoyte, Scott Mordin, Sastry, Subramaniam Krishnakumar
• Application Number:
  US12/718,298
• Publication Number:
  US 20110106680A1
• Time in Patent Office: Days
• US Class Current: 705/35
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Abstract

A system for creating a financial risk model for at least one turbine includes a database storing operational characteristics of one or more turbines and a processing module coupled to the database that receives information from the database and creates the financial risk determination. The processing module includes a performance degradation modeler that receives performance data and creates a model there from and a financial risk calculator coupled to the performance modeler that determines financial exposure to a contract based on the model received from the performance modeler.

Claims

1. A system for creating a financial risk model for at least one turbine, the system comprising:

a database storing operational characteristics of one or more turbines;

a processing module coupled to the database that receives information from the database and creates the financial risk determination, the processing module including;

a performance degradation modeler that receives performance data and creates a model there from; and

a financial risk calculator coupled to the performance modeler that determines financial exposure to a contract based on the model received from the performance modeler.

2. The system of claim 1, wherein the processing module further includes:

a modeling module that converts the information received from the database to a parameter over time representation.

3. The system of claim 2, wherein the parameter is a heat rate.

4. The system of claim 2, wherein the processing module further includes:

a filtration module that filters the representation created by the modeling module to create a filtered representation.

5. The system of claim 4, wherein the filtration module applies an operating mode filter or a data smoothing filter or both.

6. The system of claim 4, wherein the processing module further includes:

a normalization module coupled to the filtration module that normalizes the filtered representation based on physics based corrections, the output being the performance data.

7. The system of claim 6, wherein the parameters are heat rate and power output.

8. The system of claim 1, further including:

an anomaly detector that determines, based on a change in performance parameters, one or more possible operating anomalies for the turbine.

9. The system of claim 1, wherein the performance degradation modeler applies an update algorithm when the model does not match one or more time periods.

10. A computer implemented method of for creating a financial risk assessment for a turbine, the method comprising:

receiving performance related financial data at a risk analyzer module;

comparing the performance related financial data to heat rate degradation model for a turbine; and

determining a risk of financial loss from the comparison.

11. The method of claim 10, further comprising:

creating the heat rate model.

12. The method of claim 11, wherein creating the heat rate model includes:

receiving values from a data base that represent sensor values at the turbine; and

converting the values to time related heat rate values.

13. The method of claim 12, wherein creating the heat rate model further includes:

filtering or smoothing the time related heat rate values; and

normalizing the filtered or smoothed values to a standard.

14. The method of claim 10, wherein the performance related financial data is based on terms in a contract between a supplier and a customer.

15. A system comprising:

one or more turbines;

at least one sensor coupled to one or the one or more turbines;

a database storing operational characteristics of one or more turbines received from the at least one sensor;

a processing module coupled to the database that receives information from the database and creates the financial risk determination, the processing degradation module including;

a performance degradation modeler that receives performance data and creates a model there from; and

a financial risk calculator coupled to the performance modeler that determines financial exposure to a contract based on the model received from the performance modeler.

16. The system of claim 15, wherein the processing module further includes:

a modeling module that converts the information received from the database to a parameter over time representation.

17. The system of claim 16, wherein the parameter is a heat rate or other performance parameter.

18. The system of claim 16, wherein the processing module further includes:

a normalization module that normalizes the parameter over time representation based on physics based corrections, the output being performance data.

19. The system of claim 18, wherein the parameter is a heat rate.