Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52616
DC FieldValueLanguage
dc.contributor.authorLauret, Philippeen_US
dc.contributor.authorPerez, Richarden_US
dc.contributor.authorMazorra Aguiar, Luisen_US
dc.contributor.authorTapachès, Emericen_US
dc.contributor.authorDiagne, Hadja Maimounaen_US
dc.contributor.authorDavid, Mathieuen_US
dc.contributor.otherMAZORRA AGUIAR, LUIS
dc.contributor.otherTapaches, Emeric
dc.date.accessioned2018-12-05T09:51:35Z-
dc.date.available2018-12-05T09:51:35Z-
dc.date.issued2016en_US
dc.identifier.issn0038-092Xen_US
dc.identifier.urihttp://hdl.handle.net/10553/52616-
dc.description.abstractThis paper investigates the relationship between two parameters characterizing a given location on a given day: the daily clear sky index KT* and the intraday variability given by the standard deviation of the changes in the hourly clear sky index σ(δktδt*). Empirical evidence assembled from twenty climatically distinct locations led us to derive a simple model to infer intraday variability from the day's clear sky index. Although the model shows little dependence on location, we did observe a systematic difference traceable to a location's prevailing cloud formation regime. Therefore, we also propose two alternative models for sites where cloud formations is influenced by local orography and sites where cloud formation is traceable to weather events only. Finally, we present a possible application of the models to enhance the informative content of day(s) ahead NWP forecasts.en_US
dc.languageengen_US
dc.relation.ispartofSolar Energyen_US
dc.sourceSolar Energy[ISSN 0038-092X],v. 125, p. 99-110en_US
dc.subject3308 Ingeniería y tecnología del medio ambienteen_US
dc.subject.otherModelen_US
dc.subject.otherNWP modelen_US
dc.subject.otherSolar irradiationen_US
dc.subject.otherSolar resourceen_US
dc.subject.otherVariabilityen_US
dc.titleCharacterization of the intraday variability regime of solar irradiation of climatically distinct locationsen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.solener.2015.11.032
dc.identifier.scopus84951807638
dc.identifier.isi000370097600010
dcterms.isPartOfSolar Energy
dcterms.sourceSolar Energy[ISSN 0038-092X],v. 125, p. 99-110
dc.contributor.authorscopusid7004327525
dc.contributor.authorscopusid7402543833
dc.contributor.authorscopusid56971482900
dc.contributor.authorscopusid57022042400
dc.contributor.authorscopusid55537854900
dc.contributor.authorscopusid35486904800
dc.description.lastpage110-
dc.description.firstpage99-
dc.relation.volume125-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000370097600010
dc.contributor.daisngid1136985
dc.contributor.daisngid836784
dc.contributor.daisngid3785154
dc.contributor.daisngid25582929
dc.contributor.daisngid21143882
dc.contributor.daisngid1403275
dc.identifier.investigatorRIDK-4255-2017
dc.identifier.investigatorRIDNo ID
dc.contributor.wosstandardWOS:Lauret, P
dc.contributor.wosstandardWOS:Perez, R
dc.contributor.wosstandardWOS:Aguiar, LM
dc.contributor.wosstandardWOS:Tapaches, E
dc.contributor.wosstandardWOS:Diagne, HM
dc.contributor.wosstandardWOS:David, M
dc.date.coverdateFebrero 2016
dc.identifier.ulpgces
dc.description.sjr1,547
dc.description.jcr4,018
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR SIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Eléctrica-
crisitem.author.orcid0000-0002-9746-7461-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameMazorra Aguiar, Luis-
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