0
research-article

Predictive Compressor Wash Optimization for Economic Operation of Gas Turbine

[+] Author and Article Information
Houman Hanachi

National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China; Department of Mechanical and Materials Engineering, Queen's University, Kingston, ON, K7L 3N6, Canada
hanachih@lifepredictiontech.com

Jie Liu

National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China; Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON, K1S 5B6, Canada
jie.liu@carleton.ca

Ping Ding

National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China; Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON, K1S 5B6, Canada
ping.ding@carleton.ca

Il Yong Kim

Department of Mechanical and Materials Engineering, Queen's University, Kingston, ON, K7L 3N6, Canada
kimiy@queensu.ca

Chris K Mechefske

Department of Mechanical and Materials Engineering, Queen's University, Kingston, ON, K7L 3N6, Canada
chris.mechefske@queensu.ca

1Corresponding author.

ASME doi:10.1115/1.4041168 History: Received March 06, 2018; Revised July 25, 2018

Abstract

Gas turbine engines are widely used for power generation, ranging from stationary power plants to airplane propulsion systems. Compressor fouling is the dominant degradation mode in gas turbines that leads to economic losses due to power deficit and extra fuel consumption. Washing of the compressor removes the fouling matter and retrieves the performance, while causing a variety of costs including loss of production during service time. In this paper the effect of fouling and washing on the revenue of the power plant is studied, and a general solution for the optimum time between washes of the compressor under variable fouling rates and demand power is presented and analyzed. The framework calculates the savings achievable with optimization of time between washes during a service period. The methodology is utilized to optimize total costs of fouling and washing and analyze the effects and sensitivities to different technical and economic factors. As a case study, it is applied to a sample set of cumulative gas turbine operating data for a time-between-overhauls and the potential saving has been estimated. The results show considerable saving potential through optimization of time between washes.

Copyright (c) 2018 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In