Exploring the meteorological potential for planning a high performance European electricity super-grid: Optimal power capacity distribution among countries

dc.centroFacultad de Cienciases_ES
dc.contributor.authorSantos-Alamillos, Francisco Javier
dc.contributor.authorBrayshaw, David
dc.contributor.authorMethven, John
dc.contributor.authorThomaidis, Nikolaos
dc.contributor.authorRuiz-Arias, José Antonio
dc.contributor.authorPozo-Vázquez, David
dc.date.accessioned2025-01-28T09:48:09Z
dc.date.available2025-01-28T09:48:09Z
dc.date.issued2017-11-13
dc.departamentoFísica Aplicada I
dc.description.abstractThe concept of a European super-grid for electricity presents clear advantages for a reliable and affordable renewable power production (photovoltaics and wind). Based on the mean-variance portfolio optimization analysis, we explore optimal scenarios for the allocation of new renewable capacity at national level in order to provide to energy decision-makers guidance about which regions should be mostly targeted to either maximize total production or reduce its day-to-day variability. The results show that the existing distribution of renewable generation capacity across Europe is far from optimal: i.e. a 'better' spatial distribution of resources could have been achieved with either a ~31% increase in mean power supply (for the same level of day-to-day variability) or a ~37.5% reduction in day-to-day variability (for the same level of mean productivity). Careful planning of additional increments in renewable capacity at the European level could, however, act to significantly ameliorate this deficiency. The choice of where to deploy resources depends, however, on the objective being pursued—if the goal is to maximize average output, then new capacity is best allocated in the countries with highest resources, whereas investment in additional capacity in a north/south dipole pattern across Europe would act to most reduce daily variations and thus decrease the day-to-day volatility of renewable power supply.es_ES
dc.description.sponsorshipDepartment of Meteorology at the University of Reading (UK), the Department of Physics at the University of Jaén (Spain), and the Research Unit of the Aristotle University of Thessaloniki (Greece), under grant code 93280es_ES
dc.identifier.citationSantos-Alamillos, F. J., Brayshaw, D. J., Methven, J., Thomaidis, N. S., Ruiz-Arias, J. A., & Pozo-Vázquez, D. (2017). Exploring the meteorological potential for planning a high performance European electricity super-grid: optimal power capacity distribution among countries. Environmental Research Letters, 12(11), 114030.es_ES
dc.identifier.doi10.1088/1748-9326/aa8f18
dc.identifier.urihttps://hdl.handle.net/10630/37151
dc.language.isoenges_ES
dc.publisherIOPes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAbastecimiento de energíaes_ES
dc.subject.otherEuropean electricity super-grides_ES
dc.subject.otherWind poweres_ES
dc.subject.otherPVes_ES
dc.subject.otherMean-variance portfolioes_ES
dc.subject.otherCapacity allocationes_ES
dc.titleExploring the meteorological potential for planning a high performance European electricity super-grid: Optimal power capacity distribution among countrieses_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationbc6331e0-cc06-417d-b13d-0350109eabcb
relation.isAuthorOfPublication0a8d4429-e200-4bf7-88e0-4d995ef26e18
relation.isAuthorOfPublication.latestForDiscoverybc6331e0-cc06-417d-b13d-0350109eabcb

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