Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant

dc.contributor.authorAlonso-Montesinos, Joaquín
dc.contributor.authorMonterreal, Rafael
dc.contributor.authorFernández Reche, Jesús
dc.contributor.authorBallestrín, Jesús
dc.contributor.authorLópez Rodríguez, Gabriel
dc.contributor.authorPolo, Jesús
dc.contributor.authorBarbero, Francisco Javier
dc.contributor.authorMarzo, Aitor
dc.contributor.authorPortillo, Carlos
dc.contributor.authorBatlles, Francisco J.
dc.date.accessioned2022-04-11T10:02:46Z
dc.date.available2022-04-11T10:02:46Z
dc.date.issued2022
dc.description.abstractAs part of the research for techniques to control the final energy reaching the receivers of central solar power plants, this work combines two contrasting methods in a novel way as a first step towards integrating such systems in solar plants. To determine the effective power reaching the receiver, the direct normal irradiance was predicted at ground level using a total sky camera, TSI-880 model. Subsequently, these DNI values were used as the inputs for a heliostat model (Fiat-Lux) to trace the sunlight’s path according to the mirror features. The predicted valuex of flux, obtained from these simulations, differ of less than 20% from the real values. This represents a significant advance in integrating different technologies to quantify the losses produced in the path from the heliostats to the central receiver, which are normally caused by the presence of atmospheric attenuation factorses_ES
dc.description.departmentIngeniería Eléctrica y Térmica, de Diseño y Proyectos
dc.description.sponsorshipThis research was funded by the Ministerio de Economía, Industria y Competitividad grant numbers ENE2014-59454-C3-1, 2 and 3; and ENE2017-83790-C3-1, 2 and 3; and co-financed by the European Regional Development Fund. The author would like to thank the PRESOL Project (references ENE2014- 59454-C3-1, 2 and 3) and the PVCastSOIL Project (references ENE2017-83790-C3-1, 2 and 3), which were funded by the Ministerio de Economía, Industria y Competitividad, and the MAPVSpain Project (PID2020-118239RJ-I00), which was funded by the Ministerio de Ciencia e Innovación; all of them co-financed by the European Regional Development Fund. The authors also acknowledge ANID/FONDAP/15110019 SERC Chile
dc.identifier.citationAlonso-Montesinos, J., Monterreal, R., Fernandez-Reche, J., Ballestrín, J., López, G., Polo, J., Barbero, F. J., Marzo, A., Portillo, C., & Batlles, F. J. (2022). Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant. In Remote Sensing (Vol. 14, Issue 7, p. 1602). MDPI AG. https://doi.org/10.3390/rs14071602es_ES
dc.identifier.doi10.3390/rs14071602
dc.identifier.issn2072-4292 (electrónico)
dc.identifier.urihttp://hdl.handle.net/10272/20834
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherImage processinges_ES
dc.subject.otherSolar energyes_ES
dc.subject.otherCentral solar power plantes_ES
dc.subject.otherSky cam imageses_ES
dc.subject.otherFlux simulationes_ES
dc.subject.otherSolar plant controles_ES
dc.subject.otherRemote sensinges_ES
dc.subject.unesco33 Ciencias Tecnológicases_ES
dc.titleNowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plantes_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication703e8224-9057-431a-88c8-6a1720d615af
relation.isAuthorOfPublication.latestForDiscovery703e8224-9057-431a-88c8-6a1720d615af

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