Author, as appears in the article.: Afsordegan A; Del Vasto-Terrientes L; Valls A; Agell N; Sánchez M
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: DEL VASTO TERRIENTES, LUIS MIGUEL / Valls Mateu, Aïda
Keywords: Wind farm location Wind energy Sustainable energy Multi-criteria decision aid Hierarchical assessment Evaluating alternatives Environmental analysis Electre Decision making wind farm location technologies sustainable energy selection reversal ranking irregularities multicriteria multi-criteria decision aid location electre-iii electre
Abstract: © 2017 Springer Science+Business Media, LLC 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.
Thematic Areas: Saúde coletiva Operations research & management science Medicina i Matemática / probabilidade e estatística Management science and operations research Interdisciplinar General decision sciences Ensino Engenharias iv Engenharias iii Engenharias i Economia Decision sciences (miscellaneous) Decision sciences (all) Ciencias sociales Ciências agrárias i Ciência da computação Administração, ciências contábeis e turismo Administração pública e de empresas, ciências contábeis e turismo
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: aida.valls@urv.cat
Author identifier: 0000-0003-3616-7809
Record's date: 2023-02-18
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://link.springer.com/article/10.1007/s10479-017-2590-4
Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Annals Of Operations Research. 312 (2): 1-29
APA: Afsordegan A; Del Vasto-Terrientes L; Valls A; Agell N; Sánchez M (2022). Finding the most sustainable wind farm sites with a hierarchical outranking decision aiding method. Annals Of Operations Research, 312(2), 1-29. DOI: 10.1007/s10479-017-2590-4
Article's DOI: 10.1007/s10479-017-2590-4
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications
Repositori URV