Finding the most sustainable wind farm sites with a hierarchical outranking decision aiding method

Arayeh Afsordegan (), Luis Del Vasto-Terrientes (), Aida Valls (), Núria Agell () and Mónica Sánchez ()
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Arayeh Afsordegan: Ramon Llull University
Luis Del Vasto-Terrientes: Universitat Rovira i Virgili
Aida Valls: Universitat Rovira i Virgili
Núria Agell: Ramon Llull University
Mónica Sánchez: UPC-BarcelonaTech

Annals of Operations Research, 2022, vol. 312, issue 2, No 25, 1307-1335

Abstract: Abstract This paper considers the problem of finding suitable sites for wind farms in a region of Catalonia (Spain). The evaluation criteria are structured into a hierarchy that identifies several intermediate sub-goals dealing with different points of view. Therefore, the recent ELECTRE-III-H hierarchical multi-criteria analysis method is proposed as a good solution to help decision-makers. This method establishes an order among the set of possible sites for the wind farms for each sub-goal. ELECTRE-III-H aggregates these orders into an overall order using different parameters. The procedure is based on the construction and exploitation of a pairwise outranking relation, following the principles of concordance (i.e. majority rule) and discordance (i.e. respect for the minority opinions). This paper makes two main contributions. First, it contributes to the ELECTRE-III-H method by studying its mathematical properties for the construction of outranking relations. Second, the case study is solved and its results show that we can effectively represent and manage the overall influence of the various criteria on the global result at different levels of the hierarchy. The paper compares different scenarios with strict, normal, and optimistic preference, indifference and veto thresholds. Results show that the best site differs for technical, economic, environmental, and social intermediate criteria. Therefore, the best overall solution changes depending on the preference and veto thresholds fixed at the intermediate level of the hierarchy.

Keywords: Hierarchical assessment; Multi-criteria decision aid; ELECTRE; Sustainable energy; Wind farm location (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10479-017-2590-4

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