Sustainable electricity generation mix for Iran: A fuzzy analytic network process approach

Arash Sadeghi, Taimaz Larimian

Research output: Contribution to journalArticlepeer-review

Abstract

lectricity supply in Iran has been heavily dependent on fossil fuels. In light of the government’s emphasis on reducing the consumption of conventional energy sources, combined with the worldwide attention to environmental issues, it is necessary for Iran to revise its current energy mix policy in power sector and move towards a more diversified energy portfolio. This paper aims to contribute to energy management studies through developing a new framework for assessing the mix of energy sources for producing electricity in Iran from the perspective of sustainable development. Multiple qualitative and quantitative criteria with conflicting nature need to be taken into consideration for evaluating competing energy options for electricity production in Iran. In order to address this issue and also to consider the complex interdependence among criteria and alternatives, this paper adopts a fuzzy analytic network process (FANP) method. Seven criteria and nineteen sub-criteria are defined and structured in the form of benefits, opportunities, costs and risks (BOCR) to evaluate the share of six energy resources. The results indicate that the best energy mix for the power sector in Iran is as follows: renewable energies (31.6%), natural gas (25%), coal (12.3%), fuel oil (12.6%), nuclear (8.7%) and gas oil (9.7%).
Original languageEnglish
Pages (from-to)30-42
Number of pages12
JournalSustainable Energy Technologies and Assessments
Volume28
Early online date15 Jun 2018
DOIs
Publication statusPublished - 1 Aug 2018

Keywords

  • Electricity generation mixSustainable developmentMulti-criteria decision making (MCDM)Fuzzy analytic network process (FANP)BOCR

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