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A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method.
Deveci, Muhammet; Özcan, Ender; John, Robert; Covrig, Catalin-Felix; Pamucar, Dragan.
Afiliación
  • Deveci M; Department of Industrial Engineering, Naval Academy, National Defense University, 34940 Tuzla, Istanbul, Turkey; Computational Optimisation and Learning (COL) Lab, School of Computer Science, University of Nottingham, NG8 1BB, Nottingham, UK. Electronic address: muhammetdeveci@gmail.com.
  • Özcan E; Computational Optimisation and Learning (COL) Lab, School of Computer Science, University of Nottingham, NG8 1BB, Nottingham, UK. Electronic address: ender.ozcan@nottingham.ac.uk.
  • John R; Computational Optimisation and Learning (COL) Lab, School of Computer Science, University of Nottingham, NG8 1BB, Nottingham, UK. Electronic address: robert.john@nottingham.ac.uk.
  • Covrig CF; European Commission, JRC-Directorate C Energy, Transport and Climate, Postbus 2, 1755, ZG Petten, Netherlands. Electronic address: catalin-felix.covrig@ec.europa.eu.
  • Pamucar D; Department of Logistics, University of Defence, Belgrade 11000, Serbia. Electronic address: dpamucar@gmail.com.
J Environ Manage ; 270: 110916, 2020 Sep 15.
Article en En | MEDLINE | ID: mdl-32721349
ABSTRACT
This study investigates the degree of importance of criteria affecting the optimal site selection of offshore wind farms. Firstly, forty two different influential criteria have been selected by reviewing the scientific literature on offshore wind farm site selection. Secondly, a survey has been conducted receiving a response from thirty four internationally renowned experts across seventeen countries. Each participant is asked to indicate the importance and relevance of each criterion based on their experience. Finally, the importance of each criterion for offshore wind farm site selection is determined using a novel Decision Making-Level Based Weight Assessment (LBWA) approach based on interval-valued fuzzy-rough numbers (IVFRN). The proposed method allows exploitation of the uncertainties and subjectivity that exist in the decision-making process. The results from this study improve our understanding of the importance and impact of each criterion which we believe would be invaluable for the future studies on the site selection of offshore wind farms.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Viento / Fuentes Generadoras de Energía Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Environ Manage Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Viento / Fuentes Generadoras de Energía Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Environ Manage Año: 2020 Tipo del documento: Article