Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/41539
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dc.contributor.authorSchallenberg-Rodríguez, Julietaen_US
dc.contributor.authorGarcia Montesdeoca, Nuriaen_US
dc.date.accessioned2018-07-11T12:57:13Z-
dc.date.available2018-07-11T12:57:13Z-
dc.date.issued2018en_US
dc.identifier.issn0360-5442en_US
dc.identifier.urihttp://hdl.handle.net/10553/41539-
dc.description.abstractThe Canary Islands, as many islands and coastal regions, are characterized by no conventional energy sources (but renewable resources, mainly wind and solar), by a high population density and land scarcity. Taking into account this context, it is crucial to determine the offshore wind energy potential as a first step for the energy planning. For this purpose, a methodology adapted to islands' and coastal regions' requirements has been developed. The methodology is based on GIS (Geographical Information Systems), and takes into account technical, economic and spatial constrain. Wind turbines (bottom-fixed or floating according to the bathymetry) are placed within the resulting suitable areas, quantifying also the energy production and its cost. The economic analysis includes the calculation of the LCOE (Levelized Cost Of Energy), including integration costs, and the resulting resource cost curves. The methodology has been applied to a practical case, the Canary Islands. Results show that the electricity produced by offshore wind farms exceeds the yearly electricity demand. Moreover, the offshore wind energy cost is lower than the current electricity cost. The analysis provides further useful indicators such as percentage of suitable areas, surface covered by wind turbines, array density of turbines and marginal offshore wind energy cost.en_US
dc.languageengen_US
dc.relation.ispartofEnergyen_US
dc.sourceEnergy[ISSN 0360-5442],v. 143, p. 91-103en_US
dc.subject3322 Tecnología energéticaen_US
dc.subject3306 Ingeniería y tecnología eléctricasen_US
dc.subject3308 Ingeniería y tecnología del medio ambienteen_US
dc.subject.otherOffshore wind energyen_US
dc.subject.otherPotentialen_US
dc.subject.otherGISen_US
dc.subject.otherCanary Islandsen_US
dc.titleSpatial planning to estimate the offshore wind energy potential in coastal regions and islands. Practical case: The Canary Islandsen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.energy.2017.10.084
dc.identifier.scopus85032909197
dc.identifier.isi000425565700008-
dc.contributor.authorscopusid50162412200
dc.contributor.authorscopusid57196425389
dc.description.lastpage103-
dc.description.firstpage91-
dc.relation.volume143-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid4947307
dc.contributor.daisngid25576675
dc.contributor.wosstandardWOS:Schallenberg-Rodriguez, J
dc.contributor.wosstandardWOS:Montesdeoca, NG
dc.date.coverdateEnero 2018
dc.identifier.ulpgces
dc.description.sjr2,048
dc.description.jcr5,537
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR Group for the Research on Renewable Energy Systems-
crisitem.author.deptDepartamento de Ingeniería de Procesos-
crisitem.author.orcid0000-0003-0534-8316-
crisitem.author.parentorgDepartamento de Ingeniería Mecánica-
crisitem.author.fullNameSchallenberg Rodríguez, Julieta Cristina-
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