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dc.contributor.authorGallardo-Saavedra, Sara 
dc.contributor.authorHernández Callejo, Luis 
dc.contributor.authorAlonso-García, María del Carmen
dc.contributor.authorMuñoz-Cruzado-Alba, Jesús
dc.contributor.authorBallestín-Fuertes, Javier
dc.date.accessioned2024-10-08T11:09:54Z
dc.date.available2024-10-08T11:09:54Z
dc.date.issued2020-08
dc.identifier.citationSensors 2020, 20(16), 4395es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/70539
dc.descriptionProducción Científicaes
dc.description.abstractNewly installed renewable power capacity has been increasing incredibly in recent years. For example, in 2018, 181 GW were installed worldwide. In this scenario, in which photovoltaic (PV) energy plays a leading role, it is essential for main players involved in PV plants to be able to identify the failure modes in PV modules in order to reduce investment risk, to focus their maintenance efforts on preventing those failures and to improve longevity and performance of PV plants. Among the different systems for defects detection, conventional infrared thermography (IRT) is the fastest and least expensive technique. It can be applied in illumination and in dark conditions, both indoor and outdoor. These two methods can provide complementary results for the same kind of defects, which is analyzed and characterized in this research. Novel investigation in PV systems propose the use of a power inverter with bidirectional power flow capability for PV plants maintenance, which extremely facilitates the electroluminescence (EL) inspections, as well as the outdoor IRT in the fourth quadrant.es
dc.format.mimetypeapplication/pdfes
dc.language.isospaes
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleInfrared Thermography for the Detection and Characterization of Photovoltaic Defects: Comparison between Illumination and Dark Conditionses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.3390/s20164395es
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/20/16/4395es
dc.identifier.publicationfirstpage4395es
dc.identifier.publicationissue16es
dc.identifier.publicationtitleSensorses
dc.identifier.publicationvolume20es
dc.peerreviewedSIes
dc.description.projectMinisterio de Industria, Economía y Competitividad grant number RTC-2017-6712-3 with name Desarrollo de herramientas Optimizadas de operaCión y manTenimientO pRedictivo de Plantas fotovoltaicas—DOCTOR-PVes
dc.description.projectUniversity of Valladolid 2018 pre-doctoral research contract from the budget application 180113-541A.2.01e691es
dc.identifier.essn1424-8220es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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