AUTOMATED SYSTEM AND METHOD FOR IMPLEMENTING UNIT AND COLLECTIVE LEVEL BENCHMARKING OF POWER PLANT OPERATIONS

• US 20120283988A1
• Filed: 05/03/2011
• Published: 11/08/2012
• Est. Priority Date: 05/03/2011
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Pandey, Achalesh Kumar, Asati, Mahesh Kumar, Mannar, Kamal, Nallamotu, Durgaprasad
• Application Number:
  US13/099,661
• Publication Number:
  US 20120283988A1
• Time in Patent Office: Days
• US Class Current: 702/179
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

Systems and methods for implementing benchmarking analysis for power plant operations comprise electronically accessing power plant operational data within at least one type of operation within a power plant, electronically analyzing data from one or more power plant components within one or more different power plant units in one or more collections of multiple power plant units to identify cycles and key events on one or more of a component level, a unit level and a collective level of multiple power plants, generating at least one scorecard summary of calculated power plant operational characteristics on selected levels of operation comprising one or more of a component level, unit level and collective level of power plant units, and providing the at least one scorecard summary as electronic output to a user. Additional optional steps include using the data from the scorecard summary to detect outliers and/or to cluster selected components, units or fleets having similar operational characteristics.

Claims

1. A method of implementing benchmarking analysis for power plant operations, comprising:

electronically accessing power plant operational data including one or more monitored parameters defining at least one type of operation within a power plant;

electronically analyzing data from one or more power plant components within one or more different power plant units in one or more collections of power plants to identify cycles and key events on one or more of a component level, a unit level and a collective level of multiple power plant units;

generating at least one scorecard summary of calculated power plant operational characteristics on selected levels of operation comprising one or more of a component level, unit level and collective level of multiple power plant units; and

providing said at least one scorecard summary as electronic output to a user.

2. The method of claim 1, wherein said at least one scorecard summary comprises information comparing at least one given power plant component, unit or collection of power plant units to other plant components, units or collections of power plant units or to an entitlement curve defining ideal performance levels for the at least one given power plant component, unit or fleet.

3. The method of claim 1, wherein said at least one scorecard summary comprises power plant operational characteristics for a particular power plant unit as well as for selected turbine components and other components within the particular power plant unit.

4. The method of claim 1, wherein said at least one scorecard summary comprises operational characteristics on a collective level of multiple power plants, wherein the collective level of multiple power plants is defined by one or more of a fleet level, sub fleet level, customer level and site level.

5. The method of claim 1, wherein said at least one scorecard summary comprises a plurality of time values characterizing the duration of time that respective power plant components and/or units spend in a given segment of operation as defined by identified key events within the operation.

6. The method of claim 1, further comprising a step of applying statistical analysis to the calculated power plant operational characteristics for multiple power plant components, units or collections of power plants in order to detect outliers whose data patterns fall outside of at least one pre-configured standard, and further providing selected results of the outlier detection as electronic output to a user.

7. The method of claim 1, further comprising a step of electronically clustering power plant components, units or collections of multiple power plant units into respective groups, each group having one or more similar power plant operational characteristics, and providing selected results of the clustering analysis as electronic output to a user.

8. The method of claim 1, further comprising a step before said step of electronically analyzing data of electronically identifying missing data within a power plant operation and buffering the missing data.

9. The method of claim 1, further comprising electronically segmenting power plant operations having similar operational characteristics on the unit level and collective level of multiple power plant units, and providing selected results of the segmenting step as electronic output to a user.

10. The method of claim 1, further comprising electronically identifying failed starts for selected power plant units, calculating startup reliability of selected plants, and providing selected of the identified failed starts and the calculated startup reliability as electronic output to a user.

11. The method of claim 1, further comprising electronically generating an alarm when non-optimal or anomalous behavior is detected within the analyzed power plants.

12. The method of claim 1, further comprising electronically identifying lag and lead gas turbines and providing an indication of the identified turbines as electronic output to a user.

13. The method of claim 1, further comprising electronically classifying the starts associated with selected power plant units as one of a preconfigured list of start types, said preconfigured start types comprising at least one level of hot start, at least one level of cold start, and at least one level of warm start.

14. The method of claim 1, wherein said at least one type of operation within a power plant comprises one or more of starts, shutdowns, trips, load rejections, grid disturbances, fuel transfers, combustion mode transfers, islanded load steps, periods suitable for steady-state performance evaluation, loading, unloading, and transients affecting component life.

15. The method of claim 1, further comprising electronically generating a map-based visualization of a collection of multiple power plant units, whereby each power plant unit is represented by a respective graphical icon on the map-based visualization, and whereby user selection of a particular graphical icon initiates the display of additional summary information for the corresponding particular power plant.

16. The method of claim 1, further comprising electronically generating a customer-specific summary of key performance indicators, active alarms and current operational status for each of a customer'"'"'s power plant units and providing the customer-specific summary as output to a user.

17. The method of claim 1, further comprising electronically calculating an optimized time for performing a water wash event within selected power plant components and providing the calculated optimized time as output to a user.

18. A power plant analysis and display system, comprising:

at least one processing device;

at least one memory comprising computer-readable instructions for execution by said at least one processing device, wherein said at least one processing device is configured to electronically access power plant operational data including one or more monitored parameters defining at least one type of operation within a power plant, to electronically analyze data from one or more power plant components within one or more different power plant units in one or more collections of multiple power plants to identify cycles and key events on one or more of a component level, a unit level and a collective level, and to generate at least one scorecard summary of calculated power plant operational characteristics on selected levels of operation comprising one or more of a component level, unit level and collective level of multiple power plant units; and

at least one output device for providing said at least one scorecard summary as electronic output to a user.

19. The system of claim 18, wherein said power plant analysis and display system is accessible to a user via a web-based portal accessed via one or more wired or wireless networks.

20. The system of claim 20, wherein a user gains access to the web-based portal using a unique customer identifier such that data analysis conducted within the power plant analysis and display system is specific to the components, units and collections of power plants matched to an identified customer.