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Turbine operation degradation determination system and method

A turbine and financial technology, applied in gas turbine installations, mechanical equipment, engine components, etc., to solve problems such as undetermined performance degradation and limitations

Inactive Publication Date: 2011-05-11
GENERAL ELECTRIC CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These tools are limited to "data matching" observed sensor data to underlying physics-based models and do not identify statistically significant performance degradation

Method used

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  • Turbine operation degradation determination system and method
  • Turbine operation degradation determination system and method
  • Turbine operation degradation determination system and method

Examples

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Embodiment Construction

[0018] Embodiments disclosed herein can predict performance degradation (heat rate) through probabilistic models. One or more embodiments may be able to determine the financial impact on the supplier (in terms of contractual service bonus / liquidated damages calculation) based on observed and calculated heat rate degradation. Additionally, embodiments may automatically detect and diagnose performance anomalies to a pre-specified probability of detection.

[0019] figure 1 A schematic diagram of the data flow of the system 50 according to one embodiment is shown. The system 50 may include one or more turbine systems 60 . The turbine 60 may be any type of turbine. In one embodiment, the turbine 60 may be a gas turbine.

[0020] Where the turbine system 60 is a gas turbine, the turbine system 60 may include: a compressor 52 that draws in and compresses air; a combustor 54 (or burner) that adds fuel to heat the compressed air; and extracts power from the hot air stream The tur...

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Abstract

A system for creating a financial risk model for at least one turbine (60) includes a database (401) storing operational characteristics of one or more turbines and a processing module (402) coupled to the database that receives information from the database and creates the financial risk determination. The processing module includes a performance degradation modeler (416) that receives performance data and creates a model there from and a financial risk calculator (424) coupled to the performance modeler that determines financial exposure to a contract based on the model received from the performance modeler.

Description

technical field [0001] The subject matter disclosed herein relates to turbomachines, and in particular to modeling turbomachine performance degradation based on empirical results. Background technique [0002] All turbines experience a loss in performance over time. Gas turbine performance degradation can be classified as recoverable or non-recoverable losses. Recoverable losses are often associated with compressor fouling and can be corrected by water washing or more thoroughly by mechanically cleaning the compressor blades and vanes after opening the unit. Non-recoverable losses are mainly due to increased turbine and compressor clearances and changes in surface finish and airfoil profile. Because this loss is caused by a reduction in component efficiency, it cannot be recovered by operating procedures, external maintenance, or compressor cleaning, but only by replacing the affected component at recommended inspection intervals. [0003] Quantifying performance degradat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q50/00F01D25/00F02C7/00
CPCG06Q10/04G06Q10/0635G06Q40/00
Inventor S·维塔尔S·M·霍伊特A·K·潘迪S·K·萨斯特里S·南达
Owner GENERAL ELECTRIC CO
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