Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/71237
DC FieldValueLanguage
dc.contributor.authorPolo, Jesusen_US
dc.contributor.authorFernández-Peruchena, Carlosen_US
dc.contributor.authorSalamalikis, Vasileiosen_US
dc.contributor.authorMazorra Aguiar, Luisen_US
dc.contributor.authorTurpin, Mathieuen_US
dc.contributor.authorMartín-Pomares, Luisen_US
dc.contributor.authorKazantzidis, Andreasen_US
dc.contributor.authorBlanc, Philippeen_US
dc.contributor.authorRemund, Janen_US
dc.date.accessioned2020-04-04T05:06:37Z-
dc.date.available2020-04-04T05:06:37Z-
dc.date.issued2020en_US
dc.identifier.issn0038-092Xen_US
dc.identifier.otherScopus-
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/71237-
dc.description.abstractHigh-accuracy solar radiation data are needed in almost every solar energy project for bankability. Time series of solar irradiance components that spans decades can be supplied by satellite-derived irradiance or by reanalysis models, with very various types of uncertainty associated to the specific approaches taken and quality of boundary conditions information. In order to improve the reliability of these modeled datasets, comparison with ground measurements over a short period of time can be used for correcting some aspects, bias mainly, of the modeled data by using different methodologies; this procedure is known as site adaptation. Therefore, a benchmarking exercise that uses different site adaptation techniques was proposed within the Task 16 IEA-PVPS activities. In this work, over ten different site-adaptation techniques have been used for assessing the accuracy improvement, using ten different datasets covering both satellite-derived and reanalysis solar radiation data. The effectiveness of these methods is found not universal or spatially homogeneous, but in general, it can be stated that significant improvements can be achieved eventually in most sites and datasets.en_US
dc.languageengen_US
dc.relation.ispartofSolar Energyen_US
dc.sourceSolar Energy [ISSN 0038-092X], v. 201, p. 469-479en_US
dc.subject332201 Distribución de la energíaen_US
dc.subject.otherBankability Of Data For Solar Projectsen_US
dc.subject.otherModeled Solar Radiation Dataen_US
dc.subject.otherSatellite-Derived Solar Radiationen_US
dc.subject.otherSite Adaptationen_US
dc.titleBenchmarking on improvement and site-adaptation techniques for modeled solar radiation datasetsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.solener.2020.03.040en_US
dc.identifier.scopus85082127095-
dc.identifier.isi000525783500043-
dc.contributor.authorscopusid35614161500-
dc.contributor.authorscopusid8551520700-
dc.contributor.authorscopusid56066042400-
dc.contributor.authorscopusid56971482900-
dc.contributor.authorscopusid57205055878-
dc.contributor.authorscopusid57214654146-
dc.contributor.authorscopusid8918197800-
dc.contributor.authorscopusid7202408584-
dc.contributor.authorscopusid6506219057-
dc.description.lastpage479en_US
dc.description.firstpage469en_US
dc.relation.volume201en_US
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.contributor.daisngid29952181-
dc.contributor.daisngid33447744-
dc.contributor.daisngid19491687-
dc.contributor.daisngid28998556-
dc.contributor.daisngid29334315-
dc.contributor.daisngid32312068-
dc.contributor.daisngid579226-
dc.contributor.daisngid35201589-
dc.contributor.daisngid3696546-
dc.description.notasThis work constitutes the main contribution of several experts to the activity 2.2 of the Task 16 IEA-PVPS and Task V IEA-SolarPACESen_US
dc.description.numberofpages11en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Polo, J-
dc.contributor.wosstandardWOS:Fernandez-Peruchena, C-
dc.contributor.wosstandardWOS:Salamalikis, V-
dc.contributor.wosstandardWOS:Mazorra-Aguiar, L-
dc.contributor.wosstandardWOS:Turpin, M-
dc.contributor.wosstandardWOS:Martin-Pomares, L-
dc.contributor.wosstandardWOS:Kazantzidis, A-
dc.contributor.wosstandardWOS:Blanc, P-
dc.contributor.wosstandardWOS:Remund, J-
dc.date.coverdateMayo 2020en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-BASen_US
dc.description.sjr1,337
dc.description.jcr7,609
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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