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2019
DOI: 10.1016/j.compchemeng.2019.05.040
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A system dynamics model for optimal allocation of natural gas to various demand sectors

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Cited by 18 publications
(14 citation statements)
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References 40 publications
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“…In Wu and Ning [53], GIS software was used to visually analyse the results of the SD model representing Beijing's districts. Five other works [55][56][57][58][59] combined SD to multi-objective optimisation modelling to evaluate supply-demand and 3E dynamics. Among them, the ANEMI model [60] consists of an integrated optimisationsimulation model that solves an optimal allocation problem within each simulation time step without considering future projections (i.e., it generates an endogenous path for energy supply).…”
Section: Descriptive Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In Wu and Ning [53], GIS software was used to visually analyse the results of the SD model representing Beijing's districts. Five other works [55][56][57][58][59] combined SD to multi-objective optimisation modelling to evaluate supply-demand and 3E dynamics. Among them, the ANEMI model [60] consists of an integrated optimisationsimulation model that solves an optimal allocation problem within each simulation time step without considering future projections (i.e., it generates an endogenous path for energy supply).…”
Section: Descriptive Resultsmentioning
confidence: 99%
“…Among them, the ANEMI model [60] consists of an integrated optimisationsimulation model that solves an optimal allocation problem within each simulation time step without considering future projections (i.e., it generates an endogenous path for energy supply). Also, Daneshzand et al [58], Wu and Xu [56], and Eker et al [61] considered multi-objective optimisation methods to find optimal values of policy variables. Karunathilake et al [59] employed a fuzzy optimisation approach to find optimal energy mixes according to different performance objectives, which were used as input in their life-cyclebased SD model.…”
Section: Descriptive Resultsmentioning
confidence: 99%
“…The priority of sectors for NG allocation determined as injection, export, and power plant Not using uncertainties in utility function Zhang et al [49] Analyzing the effect of domestic NG price increase on the overall economy index Chemical industry will be most influenced by any NG price increase Lack of comparability with similar research Daneshzand et al [50] Sustainability of domestic NG supply on providing financial capital Energy price is one of the main variables directly influencing energy demand and supply Not using pricing policy tools Daneshzand et al [51] Optimal allocation of natural gas to various demand sectors Residential sector should have a much smaller share and the export sector a much larger share of the consumption sector…”
Section: Not Considering the Budget Limitationmentioning
confidence: 99%
“…They suggested an SD scheme to discuss water–food security utilizing the WEF nexus method and claimed that combined policy had some undeniable impacts on Gavkhuni basin’s water conservation. In further research, Daneshzand et al 19 determined a nominal consumption share of each demand sector through a novel pricing approach. They also concluded that the local sector has a trivial share, whereas transportation has a relatively larger share of the recommended pattern in 2040.…”
Section: Literature Reviewmentioning
confidence: 99%