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A fuzzy linear programming model for allocation of oil and gas resources in iran with the aim of reducing the greenhouse gases
Author(s) -
Kazemi Aliyeh,
Shakouri G. Hamed,
Mehregan M. Reza,
Hosseinzadeh Mahnaz
Publication year - 2013
Publication title -
environmental progress and sustainable energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.495
H-Index - 66
eISSN - 1944-7450
pISSN - 1944-7442
DOI - 10.1002/ep.11692
Subject(s) - greenhouse gas , natural gas , petroleum , fuzzy logic , environmental economics , natural resource , fossil fuel , linear programming , environmental science , energy (signal processing) , resource (disambiguation) , petroleum engineering , computer science , waste management , engineering , economics , mathematics , chemistry , statistics , ecology , computer network , organic chemistry , algorithm , artificial intelligence , biology
Energy plays a key role in sustainable development. Formulation of an energy model will help in the proper allocation of available energy resources. The objective of this article is to allocate optimally to each end user a certain amount of energy to be supplied by a given resource in Iran to reduce greenhouse gases. For this purpose, energy demands of end users are forecasted, and the outcomes are used in a fuzzy linear programming model, which determines the best allocation of energy resources in Iran from 2012 to 2020. The result shows a large portion of crude oil and natural gas will be allocated for exports. Transportation sector will be the major consumer of the petroleum products. Higher amounts of natural gas compared with the petroleum products will be allocated to power plants. Moreover, a considerable portion of natural gas should be injected into the oil reservoirs. These analyses would provide scientific basis for the optimal allocation of energy resources in meeting the future energy demand in Iran. © 2012 American Institute of Chemical Engineers Environ Prog, 32: 854–859, 2013