Abstract
Abstract It is commonly accepted that fouling degrades severely axial compressor performance. Deposits build up as operating hours sum up, causing a decrease in the compressor's delivery pressure, efficiency, and flow capacity. Compressor susceptibility to fouling depends on many factors, such as atmospheric conditions, air quality, filtration system, and the size and design of the compressor. The current study identifies four basic operating scenarios which refer to the same compressor, in order to put forward a comparative assessment as to how incoming air quality would affect compressor performance. SOCRATES, an in-house, streamline curvature-based through-flow tool, in conjunction with a detailed, fully customizable fouling empirical model, conceived based on flow physics and relevant experimental data, is used to qualify and quantify compressor degradation with time.
Highlights
The starting point for the current research, was the basic conclusion drawn by Kurz et al [1]: Τhe presence of wet contaminants and/or high air humidity and the quality of air filtration systems, have a far greater impact on fouling rates, than engine specific fouling susceptibility factors
The current study identifies four basic operating scenarios which refer to the same compressor, in order to put forward a comparative assessment as to how the factors mentioned above, affect the compressor performance through the fouling mechanism
The current study has two major goals: i) to examine the effect of moisture and air filtering on gas turbine engine compressor performance degradation due to fouling and, ii) to present an integrated fouling model which in conjunction with a through‐flow code and a gas turbine engine performance simulation tool, could substitute the methodology used so far in similar studies, where scaling factors of basic performance parameters are plugged in compressor stage‐stacking methods
Summary
Published by The American Society of Mechanical Engineers. This is the Author Accepted Manuscript issued with: Creative Commons Attribution License (CC BY). The final published version is available online at DOI:https://doi.org/10.1115/1.4049264. Please refer to any applicable publisher terms of use. Journal of Engineering for Gas Turbines and Power empirical model, conceived based on flow physics and relevant experimental data, is used to qualify and quantify, compressor degradation with time.
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