Research Papers: Gas Turbines: Oil and Gas Applications

Optimal Operation and Maintenance of Gas Compressor Stations: An Integrated Framework Applied to a Large-Scale Industrial Case

[+] Author and Article Information
Dionysios P. Xenos

Centre for Process Systems Engineering,
Department of Chemical Engineering,
Imperial College London,
London SW7 2AZ, UK
e-mail: d.xenos@imperial.ac.uk

Erling Lunde

Efficient Facilities,
Research, Development and Innovation (RDI),
Statoil, Trondheim 2005, Norway

Nina F. Thornhill

Centre for Process Systems Engineering,
Department of Chemical Engineering,
Imperial College London,
London SW7 2AZ, UK

1Corresponding author.

Contributed by the Oil and Gas Applications Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received July 16, 2015; final manuscript received July 30, 2015; published online October 21, 2015. Editor: David Wisler.

J. Eng. Gas Turbines Power 138(4), 042401 (Oct 21, 2015) (10 pages) Paper No: GTP-15-1337; doi: 10.1115/1.4031307 History: Received July 16, 2015; Revised July 30, 2015

This paper presents a framework which integrates maintenance and optimal operation of multiple compressors. The outcome of this framework is a multiperiod plan which provides the schedule of the operation of compressors: the schedule gives the best decisions to be taken, for example, when to carry out maintenance, which compressors to use online and how much to load them. These decisions result in the minimization of the total operational costs of the compressors while at the same time the demand of the plant is met. The suggested framework is applied to an industrial gas compressor station which encompasses large multistage centrifugal compressors operating in parallel. The optimization model of the framework consists of three main parts: the models of compressor maps, the operational aspects of compressors, and a maintenance model. The results illustrate the optimal schedule for 90 days and an example of the optimal distribution of the load of the compressors for 5 days. Finally, the results show the economical benefits from the integration of maintenance and optimization.

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Fig. 1

Topology of an export gas station and its downstream gas network

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Fig. 2

Characteristics of a compressor

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Fig. 3

Power curves of a compressor

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Fig. 4

Recycling flow mass balance

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Fig. 5

Given demand of each delivery point

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Fig. 6

Given pressure of delivery points

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Fig. 7

Upstream inlet pressure

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Fig. 8

Electricity cost and number of online compressors at each header

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Fig. 9

Schedule from optimization of Case A

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Fig. 10

Optimal load distribution for Day 71

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Fig. 11

Schedule from optimization of Case B




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