A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran

Jalil Heidary Dahooie, Ali Husseinzadeh Kashan, Zahra Shoaei Naeini, Amir Salar Vanaki, Edmundas Kazimieras Zavadskas and Zenonas Turskis
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Jalil Heidary Dahooie: Faculty of Management, University of Tehran, Jalal Al-e-Ahmad, Nasr Bridge, Tehran 14155-6311, Iran
Ali Husseinzadeh Kashan: Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran 14115-138, Iran
Zahra Shoaei Naeini: Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran 14115-138, Iran
Amir Salar Vanaki: Faculty of Management, University of Tehran, Jalal Al-e-Ahmad, Nasr Bridge, Tehran 14155-6311, Iran
Edmundas Kazimieras Zavadskas: Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania
Zenonas Turskis: Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania

Energies, 2022, vol. 15, issue 8, 1-20

Abstract: Policy-makers should focus on solar energy due to the increasing energy demand and adverse consequences such as global warming. Conflicting criteria influence choosing the most desirable place to construct a Solar Power Plant (SPP). Researchers have popularized multicriteria decision-making (MCDM) methods because of the potential. Although the simultaneous use of several methods increases the robustness and accuracy of the results, existing methods to integrate MCDM methods mainly consider the same weight for all methods and utilize the alternatives ranking for the final comparison. This paper presents a hybrid decision-making framework to determine the best location for SPPs in Iran using a set of criteria extracted from the literature and expert opinions. An initial list of decision-making alternatives is prepared and evaluated using GIS software in terms of criteria. Decision-makers prioritized the identified alternatives using the MCDM methods, including SWARA and different ranking methods (TOPSIS, TODIM, WASPAS, COPRAS, ARAS, and MULTIMOORA). Finally, the CCSD method aggregates the results and identifies the best location. Results highly correlate with the results of previous methods and demonstrate the robustness of the proposed approach and its capability to overcome the limitations of previous methods.

Keywords: solar energy; power plant location; multicriteria decision-making; MCDM; aggregation method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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