Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/55033
Campo DC Valoridioma
dc.contributor.authorMazorra Aguiar, L.
dc.contributor.authorPolo, J.
dc.contributor.authorVindel, J. M.
dc.contributor.authorOliver, A.
dc.date.accessioned2019-02-18T16:13:52Z-
dc.date.available2019-02-18T16:13:52Z-
dc.date.issued2019
dc.identifier.issn0960-1481
dc.identifier.urihttp://hdl.handle.net/10553/55033-
dc.description.abstractElectrical energy production using renewable energies is one of the most important challenges in recent years. Among renewable energies, it is worth highlighting photovoltaic and thermoelectric systems due to their adaptaticin to the Canary Islands. One of the most important issues to ensure the stability for solar power systems, mostly in insular grids as Canary Islands, is the precise knowledge of solar radiation. In this paper, we focus in Gridded Satellite data suitability for modelling Global Horizontal Irradiation (GHI) in islands with complicated orography, as Canary Islands. Solar radiation data retrieved from CM SAF and McClear model were analysed and compared with 22 ground measurement stations in Canary Islands. Moreover, this analysis presents the results of including a site-adaptation methodology for improving satellite suitability. We used different procedures to perform this site adaptation depending on the solar radiation conditions (clear sky or cloudy sky hours), the location of the measurement station (we establish two clusters according to the climate conditions) and the season. This study could provide information about satellite models suitability in islands and a better knowledge of solar radiation behavior. Furthermore, accurate satellite radiation data for wide spatial and temporal coverage could improve solar radiation modelling and forecasting. (C) 2018 Elsevier Ltd. All rights reserved.
dc.publisher0960-1481
dc.relation.ispartofRenewable Energy
dc.sourceRenewable Energy[ISSN 0960-1481],v. 135, p. 98-107
dc.subject.otherSky Irradiance
dc.subject.otherRadiation
dc.subject.otherValidation
dc.subject.otherCloud
dc.subject.otherModel
dc.subject.otherEnvironment
dc.subject.otherHeliosat-2
dc.subject.otherAlgorithm
dc.subject.otherMcclear
dc.titleAnalysis of satellite derived solar irradiance in islands with site adaptation techniques for improving the uncertainty
dc.typeinfo:eu-repo/semantics/Article
dc.typeArticle
dc.identifier.doi10.1016/j.renene.2018.11.099
dc.identifier.scopus85059303926
dc.identifier.isi000459365600009
dc.contributor.authorscopusid56971482900
dc.contributor.authorscopusid35614161500
dc.contributor.authorscopusid35099687200
dc.contributor.authorscopusid55499226000
dc.description.lastpage107
dc.description.firstpage98
dc.relation.volume135
dc.type2Artículo
dc.contributor.daisngid3785154
dc.contributor.daisngid29952181
dc.contributor.daisngid1887688
dc.contributor.daisngid4484055
dc.contributor.wosstandardWOS:Aguiar, LM
dc.contributor.wosstandardWOS:Polo, J
dc.contributor.wosstandardWOS:Vindel, JM
dc.contributor.wosstandardWOS:Oliver, A
dc.date.coverdateMayo 2019
dc.identifier.ulpgces
dc.description.sjr2,052
dc.description.jcr6,274
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR SIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Eléctrica-
crisitem.author.deptGIR SIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0002-9746-7461-
crisitem.author.orcid0000-0002-3783-8670-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameMazorra Aguiar, Luis-
crisitem.author.fullNameOliver Serra, Albert-
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