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物理故障对满负荷和部分负荷运行的三转子燃气轮机性能的影响。

The Effect of Physical Faults on a Three-Shaft Gas Turbine Performance at Full- and Part-Load Operation.

机构信息

Mechanical Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia.

Centre for Automotive Research and Electric Mobility (CAREM), Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia.

出版信息

Sensors (Basel). 2022 Sep 21;22(19):7150. doi: 10.3390/s22197150.

DOI:10.3390/s22197150
PMID:36236249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9573422/
Abstract

A gas path analysis approach of dynamic modelling was used to examine the gas turbine performance. This study presents an investigation of the effect of physical faults on the performance of a three-shaft gas turbine at full-load and part-load operation. A nonlinear steady state performance model was developed and validated. The datasheet from the engine manufacturer was used to gather the input and validation data. Some engineering judgement and optimization were used. Following validation of the engine performance model with the engine manufacturer data using physical fault and component health parameter relationships, physical faults were implanted into the performance model to evaluate the performance characteristics of the gas turbine at degradation state at full- and part-load operation. The impact of erosion and fouling on the gas turbine output parameters, component measurement parameters, and the impact of degraded components on another primary component of the engine have been investigated. The simulation results show that the deviation in the output parameters and component isentropic efficiency due to compressor fouling and erosion is linear with the load variation, but it is almost nonlinear for the downstream components. The results are discussed following the plots.

摘要

采用气体路径分析方法对动态建模进行了研究,以检查燃气轮机的性能。本研究探讨了物理故障对三轴燃气轮机在满载和部分负荷运行时性能的影响。建立并验证了非线性稳态性能模型。使用发动机制造商的数据表收集输入和验证数据。进行了一些工程判断和优化。使用物理故障和部件健康参数关系,通过发动机制造商的数据对发动机性能模型进行验证后,将物理故障植入性能模型中,以评估燃气轮机在全负荷和部分负荷运行时的退化状态下的性能特性。研究了腐蚀和结垢对燃气轮机输出参数、部件测量参数的影响,以及部件退化对发动机主要部件的影响。仿真结果表明,由于压缩机结垢和腐蚀,输出参数和部件等熵效率的偏差随负荷变化呈线性关系,但对于下游部件几乎是非线性的。结果随图进行了讨论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/1651c9d839f4/sensors-22-07150-g018.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/1976c201398a/sensors-22-07150-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/998e3f7cfb7d/sensors-22-07150-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/128caed1c3f3/sensors-22-07150-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/a60083bd7313/sensors-22-07150-g017a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/1651c9d839f4/sensors-22-07150-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/1f250e1471ac/sensors-22-07150-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/2c47d7e92a55/sensors-22-07150-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/2f2e5b562e87/sensors-22-07150-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/fa4f80ea4b96/sensors-22-07150-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/79430bf14114/sensors-22-07150-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/7138ad2eb007/sensors-22-07150-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/9e7f95911c40/sensors-22-07150-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/ae15afcd3af2/sensors-22-07150-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/1976c201398a/sensors-22-07150-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/f2590b47c590/sensors-22-07150-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/65d8477cf1c7/sensors-22-07150-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/e9f4f524e385/sensors-22-07150-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/971f4d514891/sensors-22-07150-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/7494fff9eede/sensors-22-07150-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/998e3f7cfb7d/sensors-22-07150-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/128caed1c3f3/sensors-22-07150-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/a60083bd7313/sensors-22-07150-g017a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4478/9573422/1651c9d839f4/sensors-22-07150-g018.jpg

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本文引用的文献

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