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dc.contributor.authorJiménez-Garrote, Antonio
dc.contributor.authorSantos-Alamillos, Francisco Javier 
dc.contributor.authorSánchez-Hernández, Guadalupe
dc.contributor.authorLópez-Cuesta, Miguel
dc.contributor.authorRuiz-Arias, José Antonio 
dc.contributor.authorPozo-Vázquez, David
dc.date.accessioned2025-01-28T08:59:26Z
dc.date.available2025-01-28T08:59:26Z
dc.date.issued2024-03-22
dc.identifier.citationJiménez-Garrote, A., Santos-Alamillos, F. J., Sánchez-Hernández, G., López-Cuesta, M., Ruiz-Arias, J. A., & Pozo-Vázquez, D. (2024). Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysis. Energies, 17(7), 1523. https://doi.org/10.3390/en17071523es_ES
dc.identifier.urihttps://hdl.handle.net/10630/37141
dc.description.abstractAn enhanced database (RetroDB) of the Spanish wind energy resources, derived from a high spatial resolution integration with the WRF model, is proposed and evaluated. RetroDB provides hourly capacity factor (CF) values for the Spanish regions, along the period of 2007–2020, with an unprecedented spatial resolution. RetroDB estimates were benchmarked based on the ERA5 global reanalysis. A comprehensive evaluation study of both RetroDB and ERA5 estimates was conducted using surface and tall mast measurements, along with actual CF values. The extent to which RetroDB and ERA5 reproduced the CF spatial variability, distribution, and ramp distribution were specifically addressed. The results showed no differences between the global and regional reanalysis performance regarding nationally aggregated wind energy estimates. Nevertheless, RetroDB clearly shows a superior performance reproducing the wind speeds’ and CFs’ spatial and temporal distributions. This was found to be related to the higher reliability of RetroDB reproducing the aloft winds in complex topographic areas. Overall, the results clearly indicate that, in areas such as the study region, where the wind resources are mostly associated with topographic enhancements, high spatial resolution regional reanalyses are preferable over relative coarse reanalyses (e.g., ERA5), particularly for wind energy integration studies. RetroDB database is made publicly available.es_ES
dc.description.sponsorshipSpanish National Research Agency, project MET4LOWCAR (PID2019-107455RB-C21/AEI/ 92 10.13039/501100011033). UE-Junta de Andalucía postdoctoral fellowship PAIDI2020-DOC_01110. Supercomputing Centre of the University of Málaga (Picasso-RES) for providing computational facilitieses_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCentrales eólicas - España - Bases de datoses_ES
dc.subject.othermeteorologyes_ES
dc.subject.otherresource assessmentes_ES
dc.subject.otherwind poweres_ES
dc.subject.otherwind power integrationes_ES
dc.subject.otherwind resourcees_ES
dc.titleEvaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysises_ES
dc.typejournal articlees_ES
dc.centroFacultad de Cienciases_ES
dc.identifier.doi10.3390/en17071523
dc.type.hasVersionVoRes_ES
dc.departamentoFísica Aplicada I
dc.rights.accessRightsopen accesses_ES


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