a new mathematical model to optimize a green gas network: a case study

Global warming created by large scale emissions of greenhouse gases (ghg) are a worldwide concern. due to this, the issue of green gas network has required more attention in the last decades. here, we address the ghg-based problem that arises in a gas network where gas flow is transferred from the town board station (tbs) to consumers by pipeline systems. given this environment, an optimization model for a gas network in which ghg emission is expressed in term of environmental constraints is developed. here, we formulate a gas network considering profitability and ecological goals to achieve sustainable development. to solve the model accurately, in small and medium sizes, we use gams 23.2 software and compare their results with the result of a metaheuristic algorithm (hybrid ga/sa). the results show that the proposed algorithm is able to produce better answers in shorter time for large-scale problems. a case study in mazandaran gas company in iran is conducted to illustrate the validity and effectiveness of the proposed approach.