Gas turbine water wash methods and systems

US2017191375A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017191375-A1
Application numberUS-201514985799-A
CountryUS
Kind codeA1
Filing dateDec 31, 2015
Priority dateDec 31, 2015
Publication dateJul 6, 2017
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A control system for a gas turbine includes a controller. The controller includes a processor configured to access an operational parameter associated with the gas turbine. The processor is configured to receive a plurality of signals from sensors disposed in a turbine system, wherein the turbine system comprises a compressor system. The processor is further configured to derive a compressor efficiency and a turbine heat rate based on the plurality of signals. The processor is additionally configured to determine if an online water wash, an offline water wash, or a combination thereof, should be executed. If the processor determines that the online water wash, the offline water wash, or the combination thereof, should be executed, then the processor is configured to execute the online water wash, the offline water wash, or the combination thereof.

First claim

Opening claim text (preview).

1 . A control system for a gas turbine, comprising: a controller comprising a processor, wherein the processor is configured to: receive a plurality of signals from sensors disposed in a turbine system, wherein the turbine system comprises a compressor system; derive a compressor efficiency and a turbine heat rate based on the plurality of signals; determine if an online water wash, an offline water wash, or a combination thereof, should be executed; and if it is determined that the online water wash, the offline water wash, or the combination thereof, should be executed, then executing the online water wash, the offline water wash, or the combination thereof. 2 . The control system of claim 1 , wherein the online water wash comprises a low pressure compressor (LPC) online water wash, wherein the compressor efficiency comprises a low pressure compressor (LPC) adiabatic efficiency, wherein determining if the online water wash should be executed comprises comparing a LPC efficiency difference (LPCDIF) to a first range and comparing a heat range percentage (HRPCT) to a second range, and executing the online water wash comprises executing a LPC online water wash. 3 . The control system of claim 2 , wherein comparing the LPCDIF to the first range comprises determing if the LPCDIF is >0.01 and <=0.02 and wherein comparing the HRPCT to the second range comprises determining if the HRPCT>0.01 and <=0.02. 4 . The control system of claim 2 , comprising determining the LPCDIF by subtracting a current LPC efficiency from an addition comprising a deterioration percentage added to a LPC estimated efficiency, wherein the LPC estimated efficiency is derived by executing a statistical model of a fleet of gas turbine systems. 5 . The control system of claim 1 , wherein the online water wash comprises a high pressure compressor (HPC) online water wash, wherein the compressor efficiency comprises a high pressure compressor (HPC) adiabatic efficiency, wherein determining if the online water wash should be executed comprises comparing a HPC efficiency difference (HPCDIF) to a first range and comparing a heat range percentage (HRPCT) to a second range, and executing the online water wash comprises executing a LPC online water wash. 6 . The control system of claim 1 , wherein the offline water wash comprises a low pressure compressor (LPC) offline water wash, wherein the compressor efficiency comprises a low pressure compressor (LPC) adiabatic efficiency, wherein determining if the offline water wash should be executed comprises comparing a LPC efficiency difference (LPCDIF) to a first range and comparing a heat range percentage (HRPCT) to a second range, and executing the offline water wash comprises executing a LPC offline water wash. 7 . The control system of claim 6 , wherein comparing the LPCDIF to the first range comprises determing if the LPCDIF is >0.02 and wherein comparing the HRPCT to the second range comprises determining if the HRPCT>0.02. 8 . The control system of claim 1 , wherein the offline water wash comprises a high pressure compressor (HPC) offline water wash, wherein the compressor efficiency comprises a high pressure compressor (HPC) adiabatic efficiency, wherein determining if the offline water wash should be executed comprises comparing a HPC efficiency difference (HPCDIF) to a first range and comparing a heat range percentage (HRPCT) to a second range, and executing the offline water wash comprises executing a HPC offline water wash. 9 . A non-transitory computer-readable medium having computer executable code stored thereon, the code comprising instructions to: receive a plurality of signals from sensors disposed in a turbine system, wherein the turbine system comprises a compressor system; derive a compressor efficiency and a turbine heat rate based on the plurality of signals; determine if an online water wash, an offline water wash, or a combination thereof, should be executed; and if it is determined that the online water wash, the offline water wash, or the combination thereof, should be executed, then executing the online water wash, the offline water wash, or the combination thereof. 10 . The non-transitory computer-readable medium of claim 9 , wherein the online water wash comprises a low pressure compressor (LPC) online water wash, wherein the compressor efficiency comprises a low pressure compressor (LPC) adiabatic efficiency, wherein determining if the online water wash should be executed comprises comparing a LPC efficiency difference (LPCDIF) to a first range and comparing a heat range percentage (HRPCT) to a second range, and executing the online water wash comprises executing a LPC online water wash. 11 . The non-transitory computer-readable medium of claim 10 , comprising determining the LPCDIF by subtracting a current LPC efficiency from an addition comprising a deterioration percentage added to a LPC estimated efficiency, wherein the LPC estimated efficiency is derived by executing a statistical model of a fleet of gas turbine systems. 12 . The non-transitory computer-readable medium of claim 9 , wherein the online water wash comprises a high pressure compressor (HPC) online water wash, wherein the compressor efficiency comprises a high pressure compressor (HPC) adiabatic efficiency, wherein determining if the online water wash should be executed comprises comparing a HPC efficiency difference (HPCDIF) to a first range and comparing a heat range percentage (HRPCT) to a second range, and executing the online water wash comprises executing a LPC online water wash. 13 . The non-transitory computer-readable medium of claim 9 , wherein the offline water wash comprises a low pressure compressor (LPC) offline water wash, wherein the compressor efficiency comprises a low pressure compressor (LPC) adiabatic efficiency, wherein determining if the offline water wash should be executed comprises comparing a LPC efficiency difference (LPCDIF) to a first range and comparing a heat range percentage (HRPCT) to a second range, and executing the offline water wash comprises executing a LPC offline water wash. 14 . The non-transitory computer-readable medium of claim 9 , wherein the offline water wash comprises a high pressure compressor (HPC) offline water wash, wherein the compressor efficiency comprises a high pressure compressor (HPC) adiabatic efficiency, wherein determining if the offline water wash should be executed comprises comparing a HPC efficiency difference (HPCDIF) to a first range and comparing a heat range percentage (HRPCT) to a second range, and executing the offline water wash comprises executing a HPC offline water wash. 15 . The non-transitory computer-readable medium of claim 9 , comprising instructions configured to store a first set of data related to compressor efficiency before executing the online wash, the offline wash, or the combination thereof, and to store a second set of data related to compressor efficiency after executing the online wash, the offline wash, or the combination thereof. 16 . A method for a gas turbine system, comprising: receiving a plurality of signals from sensors disposed in a turbine system, wherein the turbine system comprises a compressor system; deriving a compressor efficiency and a turbine heat rate based on the plurality of signals; determining if an online water wash, an offline water wash, or a combination thereof, should be executed; and if it is determined that the online water wash, the offline water wash, or the combination thereof, should be executed, then executing the online water wash, the offline water wash, or the

Assignees

Inventors

Classifications

  • F01D25/002Primary

    Cleaning of turbomachines · CPC title

  • Arrangements for testing or measuring (for measuring vibrations G01H) · CPC title

  • Control parameters, e.g. input parameters · CPC title

  • Diagnostics · CPC title

  • Testing thereof; Determination or simulation of flow characteristics; Stall or surge detection, e.g. condition monitoring · CPC title

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What does patent US2017191375A1 cover?
A control system for a gas turbine includes a controller. The controller includes a processor configured to access an operational parameter associated with the gas turbine. The processor is configured to receive a plurality of signals from sensors disposed in a turbine system, wherein the turbine system comprises a compressor system. The processor is further configured to derive a compressor ef…
Who is the assignee on this patent?
Gen Electric
What technology area does this patent fall under?
Primary CPC classification F01D25/002. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Thu Jul 06 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).