Determining Solar Power Plant Location Using Hesitant Fuzzy AHP Method

Gökçe Candan and Merve Cengiz Toklu

Alphanumeric Journal, 2021, vol. 9, issue 1, 25-34

Abstract: The fossil resource consumption, which is scarce for the solution of the increasing energy demand problem as the population increases, is replaced by the consumption of renewable energy resources. Solar energy from renewable energy sources is the type of energy with the highest potential on earth. The maximization of the efficiency to be taken from solar energy is possible with the correct selection of the location. The decision to decide on more than one criterion for multiple alternatives is a very difficult problem. Therefore, the problem of choosing a solar power plant is a complex decision problem, and this study aims to solve the problem of the most appropriate location for the Solar Power Plant by using Hesitant Fuzzy AHP. Based on linguistic expressions of three different decision makers, three alternative locations were evaluated by considering four different evaluation criteria.

Keywords: Hesitant Fuzzy AHP; Location Decision; MCDM; Multi Criteria Decision Making; Solar Power (search for similar items in EconPapers)
JEL-codes: C44 O13 Q42 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:anm:alpnmr:v:9:y:2021:i:1:p:25-34

DOI: 10.17093/alphanumeric.747299

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