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dc.contributor.authorAfsordegan, Arayeh
dc.contributor.authorDel Vasto, Luis
dc.contributor.authorValls Mateu, Aïda
dc.contributor.authorAgell, Nuria
dc.contributor.authorSánchez Soler, Monica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2018-03-06T09:35:57Z
dc.date.available2018-07-03T00:30:50Z
dc.date.issued2017-07-28
dc.identifier.citationAfsordegan, A., Del Vasto, L., Valls, A., Agell, N., Sanchez, M. Finding the most sustainable wind farm sites with a hierarchical outranking decision aiding method. "Annals of operations research", 28 Juliol 2017.
dc.identifier.issn0254-5330
dc.identifier.urihttp://hdl.handle.net/2117/114841
dc.descriptionThe final publication is available at Springer via http://dx.doi.org/10.1007/s10479-017-2590-4
dc.description.abstractThis 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.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Programació matemàtica
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
dc.subject.lcshProgramming (Mathematics)
dc.subject.lcshOperations research
dc.subject.otherELECTRE
dc.subject.otherHierarchical assessment
dc.subject.otherMulti-criteria decision aid
dc.subject.otherSustainable energy
dc.subject.otherWind farm location
dc.titleFinding the most sustainable wind farm sites with a hierarchical outranking decision aiding method
dc.typeArticle
dc.subject.lemacProgramació (Matemàtica)
dc.subject.lemacInvestigació operativa
dc.contributor.groupUniversitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.identifier.doi10.1007/s10479-017-2590-4
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::90 Operations research, mathematical programming::90C Mathematical programming
dc.subject.amsClassificació AMS::90 Operations research, mathematical programming::90B Operations research and management science
dc.relation.publisherversionhttps://link.springer.com/article/10.1007%2Fs10479-017-2590-4
dc.rights.accessOpen Access
local.identifier.drac21549674
dc.description.versionPostprint (author's final draft)
local.citation.authorAfsordegan, A.; Del Vasto, L.; Valls, A.; Agell, N.; Sanchez, M.
local.citation.publicationNameAnnals of operations research


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