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A Framework for the Selection of Optimum Offshore Wind Farm Locations for Deployment

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A Framework for the Selection of Optimum Offshore Wind Farm Locations for Deployment

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dc.contributor.author Mytilinou, Varvara es_ES
dc.contributor.author Lozano-Mínguez, Estívaliz es_ES
dc.contributor.author Kolios, Athanasios es_ES
dc.date.accessioned 2024-02-07T19:02:37Z
dc.date.available 2024-02-07T19:02:37Z
dc.date.issued 2018-07 es_ES
dc.identifier.uri http://hdl.handle.net/10251/202404
dc.description.abstract [EN] This research develops a framework to assist wind energy developers to select the optimum deployment site of a wind farm by considering the Round 3 available zones in the UK. The framework includes optimization techniques, decision-making methods and experts' input in order to support investment decisions. Further, techno-economic evaluation, life cycle costing (LCC) and physical aspects for each location are considered along with experts' opinions to provide deeper insight into the decision-making process. A process on the criteria selection is also presented and seven conflicting criteria are being considered for implementation in the technique for the order of preference by similarity to the ideal solution (TOPSIS) method in order to suggest the optimum location that was produced by the nondominated sorting genetic algorithm (NSGAII). For the given inputs, Seagreen Alpha, near the Isle of May, was found to be the most probable solution, followed by Moray Firth Eastern Development Area 1, near Wick, which demonstrates by example the effectiveness of the newly introduced framework that is also transferable and generic. The outcomes are expected to help stakeholders and decision makers to make better informed and cost-effective decisions under uncertainty when investing in offshore wind energy in the UK. es_ES
dc.description.sponsorship This work was supported by Grant EP/L016303/1 for Cranfield University, Centre for Doctoral Training in Renewable Energy Marine Structures (REMS) (http://www.rems-cdt.ac.uk/) from the UK Engineering and Physical Sciences Research Council (EPSRC). Data underlying this paper can be accessed at https://doi.org/10.17862/cranfield.rd.6292703. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Energies es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Multi-objective optimization es_ES
dc.subject Nondominated sorting genetic algorithm (NSGA) es_ES
dc.subject Multi-criteria decision making (MCDM) es_ES
dc.subject Technique for the order of preference by similarity to the ideal solution (TOPSIS) es_ES
dc.subject Life cycle cost es_ES
dc.subject.classification MECANICA DE LOS MEDIOS CONTINUOS Y TEORIA DE ESTRUCTURAS es_ES
dc.title A Framework for the Selection of Optimum Offshore Wind Farm Locations for Deployment es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/en11071855 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EPSRC//EP%2FL016303%2F1/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports es_ES
dc.description.bibliographicCitation Mytilinou, V.; Lozano-Mínguez, E.; Kolios, A. (2018). A Framework for the Selection of Optimum Offshore Wind Farm Locations for Deployment. Energies. 11(7). https://doi.org/10.3390/en11071855 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/en11071855 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 7 es_ES
dc.identifier.eissn 1996-1073 es_ES
dc.relation.pasarela S\367389 es_ES
dc.contributor.funder UK Research and Innovation es_ES
dc.contributor.funder Engineering and Physical Sciences Research Council, Reino Unido es_ES


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