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

  • Dades identificatives

    Identificador: imarina:5825602
  • Autors:

    Afsordegan A
    Del Vasto-Terrientes L
    Valls A
    Agell N
    Sánchez M
  • Altres:

    Autor segons l'article: Afsordegan A; Del Vasto-Terrientes L; Valls A; Agell N; Sánchez M
    Departament: Enginyeria Informàtica i Matemàtiques
    Autor/s de la URV: DEL VASTO TERRIENTES, LUIS MIGUEL / Valls Mateu, Aïda
    Paraules clau: 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
    Resum: © 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.
    Àrees temàtiques: 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
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: aida.valls@urv.cat
    Identificador de l'autor: 0000-0003-3616-7809
    Data d'alta del registre: 2024-09-07
    Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
    Enllaç font original: https://link.springer.com/article/10.1007/s10479-017-2590-4
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Annals Of Operations Research. 312 (2): 1-29
    Referència de l'ítem segons les normes 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
    DOI de l'article: 10.1007/s10479-017-2590-4
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2022
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Decision Sciences (Miscellaneous),Management Science and Operations Research,Operations Research & Management Science
    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
    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
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