2020
DOI: 10.1016/j.energy.2020.117125
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Countrywide optimization of natural gas supply chain: From wells to consumers

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Cited by 7 publications
(2 citation statements)
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“…There are several studies available in the literature on the development of mathematical models of natural gas marketing and supply by pipeline systems, where most of the work focuses on integrated modeling of the entire natural gas value chain. (Hamedi et al, 2009) and (Dara et al, 2020) present models for planning natural gas supply chain operations by optimizing economic objective functions, and considering demand constraints, volumetric balance, transportation capacity, and customer requirements. (Zarei & Mohammad Reza, 2019) and (Zarei & Amin-Naseri, 2020) model the entire natural gas value chain using mixed-integer optimization models focused on the supply system design.…”
Section: Bibliographic Reviewmentioning
confidence: 99%
“…There are several studies available in the literature on the development of mathematical models of natural gas marketing and supply by pipeline systems, where most of the work focuses on integrated modeling of the entire natural gas value chain. (Hamedi et al, 2009) and (Dara et al, 2020) present models for planning natural gas supply chain operations by optimizing economic objective functions, and considering demand constraints, volumetric balance, transportation capacity, and customer requirements. (Zarei & Mohammad Reza, 2019) and (Zarei & Amin-Naseri, 2020) model the entire natural gas value chain using mixed-integer optimization models focused on the supply system design.…”
Section: Bibliographic Reviewmentioning
confidence: 99%
“…That comparison helps https://doi.org/10.1007/s42452-021-04901-0 to identify capacity levels to be developed taking into account implementation times and percentage of the coverage in the supply. The research conducted by Dara et al [5] focuses on the optimization analysis of the natural gas supply chain performed on a Middle Eastern country. They have built the model which aims at maximizing the net profit of the gas network through optimum allocation of gas across the supply chain components.…”
Section: Introductionmentioning
confidence: 99%