Imperial College London
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Professor Nina F. Thornhill

Faculty of Engineering, Department of Chemical Engineering

Emeritus Professor of Process Automation
 
 
 
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Contact

 

n.thornhill

 
 
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Location

 

ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zagorowska:2020:10.1016/j.compchemeng.2020.107104,
author = {Zagorowska, M and Skourup, C and Thornhill, NF},
doi = {10.1016/j.compchemeng.2020.107104},
journal = {Computers and Chemical Engineering},
pages = {107104--107104},
title = {Influence of compressor degradation on optimal operation of a compressor station},
url = {http://dx.doi.org/10.1016/j.compchemeng.2020.107104},
volume = {143},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Zagorowska,M
AU  - Skourup,C
AU  - Thornhill,NF
DO  - 10.1016/j.compchemeng.2020.107104
EP  - 107104
PY  - 2020///
SN  - 0098-1354
SP  - 107104
TI  - Influence of compressor degradation on optimal operation of a compressor station
T2  - Computers and Chemical Engineering
UR  - http://dx.doi.org/10.1016/j.compchemeng.2020.107104
UR  - https://doi.org/10.1016/j.compchemeng.2020.107104
UR  - http://hdl.handle.net/10044/1/83749
VL  - 143
ER  -
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