Remote condition monitoring for photovoltaic systems

dc.contributor.authorMontoya, José Carlos
dc.contributor.authorGómez Muñoz, Carlos Quiterio
dc.contributor.authorGarcía Márquez, Fausto Pedro
dc.date.accessioned2020-02-24T10:56:19Z
dc.date.available2020-02-24T10:56:19Z
dc.date.issued2020
dc.description.abstractThe development of newer and more ecofriendly energies is now more important in the world. Solar energy has been growing considerably over the last years, and, for example, photovoltaic solar farms size has increased, where the problems in operation and maintenance also has raised. Automated inspection is being applied with emerging hardware and software technologies such as computer vision, unmanned aerial vehicles and thermal cameras. This chapter illustrates an integration of all these technologies, coming up with an effective solution for the detection of malfunctioning solar panels in large solar parksspa
dc.description.filiationUEMspa
dc.description.impactNo data (2018)spa
dc.description.sponsorshipMinisterio de Economía y Competitividad (RTC-2016-5694-3)spa
dc.identifier.citationMontoya, J. C., Gómez Muñoz, C. Q., & García Márquez, F. P. (2020). Remote condition monitoring for photovoltaic systems. In Non-Destructive Testing and Condition Monitoring Techniques for Renewable Energy Industrial Assets (pp. 133-142). Butterworth-Heinemann. https://doi.org/10.1016/B978-0-08-101094-5.00009-5spa
dc.identifier.doi10.1016/B978-0-08-101094-5.00009-5
dc.identifier.isbn9780081010945
dc.identifier.urihttp://hdl.handle.net/11268/8653
dc.language.isoengspa
dc.peerreviewedSispa
dc.rights.accessRightsrestricted accessspa
dc.subject.uemEnergía solarspa
dc.subject.uemIngenieríaspa
dc.subject.uemTecnologíaspa
dc.subject.unescoEnergía solarspa
dc.subject.unescoIngenieríaspa
dc.subject.unescoTecnologíaspa
dc.titleRemote condition monitoring for photovoltaic systemsspa
dc.typebook partspa
dspace.entity.typePublication
relation.isAuthorOfPublication76d2cbb0-539c-4e51-adda-386e6970126f
relation.isAuthorOfPublication.latestForDiscovery76d2cbb0-539c-4e51-adda-386e6970126f

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