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Using Genetic Algorithm for Fuel Consumption Optimization of a Natural Gas Transmission Compressor Station

by Golnaz Habibvand, Reza Mossayebi Behbahani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 1
Year of Publication: 2012
Authors: Golnaz Habibvand, Reza Mossayebi Behbahani
10.5120/6064-8180

Golnaz Habibvand, Reza Mossayebi Behbahani . Using Genetic Algorithm for Fuel Consumption Optimization of a Natural Gas Transmission Compressor Station. International Journal of Computer Applications. 43, 1 ( April 2012), 1-6. DOI=10.5120/6064-8180

@article{ 10.5120/6064-8180,
author = { Golnaz Habibvand, Reza Mossayebi Behbahani },
title = { Using Genetic Algorithm for Fuel Consumption Optimization of a Natural Gas Transmission Compressor Station },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 1 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number1/6064-8180/ },
doi = { 10.5120/6064-8180 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:34:22.215781+05:30
%A Golnaz Habibvand
%A Reza Mossayebi Behbahani
%T Using Genetic Algorithm for Fuel Consumption Optimization of a Natural Gas Transmission Compressor Station
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 1
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this study the goal is to optimize the compressors' fuel consumption through manipulating the compressors' affecting parameters as well as the operating condition parameters of the turbines and the air coolers within a gas compression station unit in operation phase by using Genetic Algorithm. The simulation part is written in a custom-built computer program and is checked by known software and optimization is through the use of Genetic Algorithm. By considering the complexity of these systems, GA is used to do the optimization part in a proper manner. The results show that in compressor stations with same turbo compressor packages which are designed in recent years, despite nonlinear relations, linear load sharing will be the most optimized choice (the effect of air coolers and line pack has been studied too). And also Genetic Algorithm optimization method is a good one for optimization of gas transmission systems.

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Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithm Optimization Compressor Station Gas Transmission System

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