جلد 28، شماره 4 - ( Ijiepm 1396 )                   جلد 28 شماره 4 صفحات 460-441 | برگشت به فهرست نسخه ها

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Torkinejad M, Mahdavi I, Mahdavi-Amiri N, Seyed Esfahani M. A mathematical model for designing optimal urban gas networks, an ant colony algorithm and a case study. IJIEPR 2017; 28 (4) :441-460
URL: http://ijiepr.iust.ac.ir/article-1-776-fa.html
A mathematical model for designing optimal urban gas networks, an ant colony algorithm and a case study. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1396; 28 (4) :441-460

URL: http://ijiepr.iust.ac.ir/article-1-776-fa.html

A mathematical model for designing optimal urban gas networks, an ant colony algorithm and a case study
چکیده:   (6087 مشاهده)
Considering the high costs of the implementation and maintenance of gas distribution networks in urban areas, optimal design of such networks is vital. Today, urban gas networks are implemented within a tree structure. These networks receive gas from City Gate Stations (CGS) and deliver it to the consumers. This study presents a comprehensive model based on Mixed Integer Nonlinear Programming (MINLP) for the design of urban gas networks taking into account topological limitations, gas pressure and velocity limitations and environmental limitations. An Ant Colony Optimization (ACO) algorithm is presented for solving the problem and the results obtained by an implementation of ACO algorithm are compared with the ones obtained through an iterative method to demonstrate the efficiency of ACO algorithm. A case study of a real situation (gas distribution in Kelardasht, Iran) affirms the efficacy of the proposed approach.
 
     
نوع مطالعه: پژوهشي | موضوع مقاله: تحقیق در عملیات
دریافت: 1396/5/6 | پذیرش: 1396/8/8 | انتشار: 1396/8/24
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