A Study of On-Line and Off-Line Turbine Washing to Optimize the Operation of a Gas Turbine

Author:

Boyce Meherwan P.1,Gonzalez Francisco2

Affiliation:

1. The Boyce Consultancy Group, LLC, Houston, TX

2. Enterprise Products Company, Mont Belvieu, TX

Abstract

This paper highlights the procedure followed in order to establish an effective on-line and off line water wash program on a fleet of 36 small industrial turbines. To determine the efficacy of water washing a program of tests under controlled conditions was organized. With proper condition monitoring techniques, a set of tests were developed in order to identify the proper water wash frequency and the dissolving agent used to water wash. The goal of the water wash program is to maximize turbine power, and efficiency; while minimizing maintenance labor, and material. The Gas Turbine Compressor Isentropic Efficiency, the overall heat rate, and the overall thermal efficiency were used to compare the tests and evaluate the performance of different water wash frequencies and solvents. 8760 points defined each test as the data was taken over a one year time period, at a one hour interval.

Publisher

ASMEDC

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Performance analysis and enhancement of GE LM6000PC gas turbine-based power generation in Bangladesh; an approach to increase the offline water wash cycle interval;Proceedings of the 13th International Conference on Mechanical Engineering (ICME2019);2021

2. A Compressor Fouling Review Based on an Historical Survey of ASME Turbo Expo Papers;Journal of Turbomachinery;2017-01-10

3. Industrial Gas Turbine Health and Performance Assessment With Field Data;Journal of Engineering for Gas Turbines and Power;2016-12-21

4. Experimental Evaluation of the Effectiveness of Online Water-Washing in Gas Turbine Compressors;Journal of Engineering for Gas Turbines and Power;2015-04-01

5. Advanced industrial gas turbines for power generation;Combined Cycle Systems for Near-Zero Emission Power Generation;2012

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