In this section
@article{Xenos:2015:10.1016/j.compchemeng.2015.08.008,
author = {Xenos, DP and Kopanos, GM and Cicciotti, M and Thornhill, NF},
doi = {10.1016/j.compchemeng.2015.08.008},
journal = {Computers and Chemical Engineering},
pages = {117--131},
title = {Operational optimization of networks of compressors considering condition-based maintenance},
url = {http://dx.doi.org/10.1016/j.compchemeng.2015.08.008},
volume = {84},
year = {2015}
}
TY - JOUR
AB - The paper presents a mixed integer linear programming model which deals with the optimal operation and maintenance of networks of compressors of chemical plants. This optimization model considers condition-based maintenance which involves the degradation of the condition of the compressors. The paper focuses on online and offline washing, two different cleaning procedures which reduce the extra power used by the compressors due to fouling. The state-of-the-art has demonstrated the optimal schedule of the maintenance of a single compressor neglecting the interactions between operation and maintenance of more than one compressor. The suggested optimization model studies a compressor station with multiple compressors and provides their optimal schedule and the best decisions for their washing. Different case scenarios examine the influence of different types of washing methods on the total costs of operation and maintenance. The paper demonstrates the benefits of the optimization and demonstrates that maintenance and operation have to be examined simultaneously and not separately, in contrast to common industrial practice and previous approaches in the literature.
AU - Xenos,DP
AU - Kopanos,GM
AU - Cicciotti,M
AU - Thornhill,NF
DO - 10.1016/j.compchemeng.2015.08.008
EP - 131
PY - 2015///
SN - 1873-4375
SP - 117
TI - Operational optimization of networks of compressors considering condition-based maintenance
T2 - Computers and Chemical Engineering
UR - http://dx.doi.org/10.1016/j.compchemeng.2015.08.008
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000365335000011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/43308
VL - 84
ER -
Nina Thornhill, ABB/RAEng Professor of Process Automation
Centre for Process Systems Engineering
Department of Chemical Engineering
Imperial College London
South Kensington Campus, London SW7 2AZ
Tel: +44 (0)20 7594 6622
Email: n.thornhill@imperial.ac.uk