Influence of compressor degradation on optimal operation of a compressor station
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Published version
Author(s)
Zagorowska, Marta
Skourup, Charlotte
Thornhill, Nina F
Type
Journal Article
Abstract
Normal practice in a compressor station with compressors in parallel is to allocate the mass flows equally. However, this strategy is not optimal if the compressors are not identical. A common reason why compressors become non-identical is because their performance degrades over time. Degradation increases the power necessary to run the compressor station and changes the optimal allocation of mass flows.
This paper presents a framework for optimal operation in a compressor station with degrading compressors. The optimisation framework proposed in this work explicitly includes a model of degradation in the optimisation problem and analyses how the optimal load-sharing changes when the compressors are degrading.
The optimisation framework was applied in an industrial case study of a compressor station in which three parallel compressors are subject to degradation. The case study confirms that it is possible to minimise the extra power consumption due to degradation by adjusting the operating conditions of the compressor station. The analysis also gives insights into the impact of degradation on the optimal solution when compressors work at their limits.
This paper presents a framework for optimal operation in a compressor station with degrading compressors. The optimisation framework proposed in this work explicitly includes a model of degradation in the optimisation problem and analyses how the optimal load-sharing changes when the compressors are degrading.
The optimisation framework was applied in an industrial case study of a compressor station in which three parallel compressors are subject to degradation. The case study confirms that it is possible to minimise the extra power consumption due to degradation by adjusting the operating conditions of the compressor station. The analysis also gives insights into the impact of degradation on the optimal solution when compressors work at their limits.
Date Issued
2020-12-05
Date Acceptance
2020-09-19
Citation
Computers and Chemical Engineering, 2020, 143, pp.107104-107104
ISSN
0098-1354
Publisher
Elsevier
Start Page
107104
End Page
107104
Journal / Book Title
Computers and Chemical Engineering
Volume
143
Copyright Statement
© 2020 The Authors. Published by Elsevier Ltd. This article is available open access under a CC-BY Licence 4.0 (https://creativecommons.org/licenses/by/4.0/)
License URL
Sponsor
Commission of the European Communities
ABB Switzerland Ltd.
ABB Switzerland Ltd.
Identifier
https://doi.org/10.1016/j.compchemeng.2020.107104
Grant Number
675215
N/A
N/A
Subjects
Chemical Engineering
0904 Chemical Engineering
0913 Mechanical Engineering
Publication Status
Published
Article Number
ARTN 107104
Date Publish Online
2020-09-22