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dc.contributor.authorSterl, Sebastianes-ES
dc.contributor.authorHussain, Bilales-ES
dc.contributor.authorMiketa, Asamies-ES
dc.contributor.authorLi, Yunshues-ES
dc.contributor.authorMerven, Brunoes-ES
dc.contributor.authorBen Ticha, Mohammed Bassames-ES
dc.contributor.authorAbbas Eltahir Elabbas, Mohamedes-ES
dc.contributor.authorThiery, Wimes-ES
dc.contributor.authorRusso, Danieles-ES
dc.contributor.other, Departamento de Traducción e Interpretación y Comunicación Multilingüees_ES
dc.date.accessioned2021-07-16T08:54:01Z
dc.date.available2021-07-16T08:54:01Z
dc.date.issued2022-12-01es_ES
dc.identifier.issn2052-4463es_ES
dc.identifier.otherE000002431es_ES
dc.identifier.urihttps:doi.org10.1038s41597-022-01786-5es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractWith solar and wind power generation reaching unprecedented growth rates globally, much research effort has recently gone into a comprehensive mapping of the worldwide potential of these variable renewable electricity (VRE) sources. From a perspective of energy systems analysis, the locations with the strongest resources may not necessarily be the best candidates for investment in new power plants, since the distance from existing grid and road infrastructures and the temporal variability of power generation also matter. To inform energy planning and policymaking, cost-optimisation models for energy systems must be fed with adequate data on potential sites for VRE plants, including costs reflective of resource strength, grid expansion needs and full hourly generation profiles. Such data, tailored to energy system models, has been lacking up to now. In this study, we present a new open-source and open-access all-Africa dataset of “supply regions” for solar photovoltaic and onshore wind power to feed energy models and inform capacity expansion planning.en-GB
dc.language.isoen-GBes_ES
dc.sourceRevista: Scientific data, Periodo: 1, Volumen: online, Número: , Página inicial: 664-1, Página final: 664-12es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleAn all-Africa dataset of energy model “supply regions” for solar photovoltaic and wind poweres_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywordses-ES
dc.keywordsEnergy planning; Cost-optimization models; Supply regions; Variable renewable energy; Africaen-GB
asignatura.cursoacademico2022-2023es_ES
asignatura.periodoes_ES
asignatura.creditos3.0es_ES
asignatura.tipoOptativa (Grado)es_ES


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