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dc.contributor.authorDeveci, Muhammet
dc.contributor.authorCali, Umit
dc.contributor.authorKucuksari, Sadik
dc.contributor.authorErdogan, Nuh
dc.date.accessioned2021-03-15T07:51:47Z
dc.date.available2021-03-15T07:51:47Z
dc.date.created2020-05-25T21:41:27Z
dc.date.issued2020
dc.identifier.issn0360-5442
dc.identifier.urihttps://hdl.handle.net/11250/2733271
dc.description.abstractOffshore wind energy takes up an important place in Ireland’s renewable generation portfolio thanks to its abundant offshore wind resource. Optimal offshore site selection and developing site-specific energy policy instruments are of key importance to the success of offshore wind energy investments. In this respect, this study aims at developing a multi-criteria decision-making (MCDM) model considering technical, economic, environmental and social criteria to assess Ireland’s most promising offshore wind sites in terms of their sustainable development. An interval type-2 fuzzy sets based MCDM model is developed that integrates the score function with positive and negative solutions to achieve better results. Moreover, advanced energy economic metrics such as levelized cost of electricity with higher resolution are integrated into the decision-making process to make more precise decisions. Case studies are conducted for the five of the offshore sites in development pipeline. Results are compared to those of other state-of-the-art MCDM methods. It is found that Arklow Bank-2 is the most favorable site while Sceirde is the least site. The ranking of other sites is found to be OrielDublin ArrayCodling Park. It is shown that the proposed approach is superior in terms of stability and implementation as compared to its counterparts.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleInterval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Irelanden_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.volume198en_US
dc.source.journalEnergyen_US
dc.source.issue117317en_US
dc.identifier.doi10.1016/j.energy.2020.117317
dc.identifier.cristin1812543
dc.description.localcode"© 2020. This is the authors’ accepted and refereed manuscript to the article. Locked until 6.3.2022 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ "en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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