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dc.contributor.authorVelasco Bonilla, Amy Zulema
dc.contributor.authorHernández‐Callejo, Luis
dc.contributor.authorRedondo‐Plaza, Alberto
dc.contributor.authorKoh Martin, Karen Paola
dc.contributor.authorAlonso Gómez, Víctor 
dc.contributor.authorTorres Aguilar, Carlos Enrique
dc.contributor.authorZorita Lamadrid, Angel
dc.contributor.authordel Amo Sancho, Alejandro
dc.contributor.authorBassam, Ali
dc.date.accessioned2025-07-28T10:24:33Z
dc.date.available2025-07-28T10:24:33Z
dc.date.issued2025
dc.identifier.citationVelasco Bonilla, A.Z., Hernández-Callejo, L., Redondo-Plaza, A., Koh Martin, K.P., Alonso Gómez, V., Torres Aguilar, C.E., Zorita Lamadrid, A., del Amo Sancho, A. and Bassam, A. (2025), Systematic Review of Flat Plate Photovoltaic Thermal Systems: Components, Efficiency, Monitoring, and Artificial Intelligence. Energy Technol. 2500425. https://doi.org/10.1002/ente.202500425es
dc.identifier.issn2194-4288es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/76883
dc.descriptionProducción Científicaes
dc.description.abstractThe use of hybrid solar panels represents a promising technology for the simultaneous generation of electrical and thermal energy from solar radiation. However, their implementation has been slow due to various technical challenges related to component optimization and the integration of new technologies. This article presents a review of flat-plate hybrid solar panels, focusing on four key aspects: system components, parameters affecting efficiency, monitoring, and applications of artificial intelligence. The analysis highlights the importance of the thermal absorber design and the heat transfer fluid, as well as the influence of environmental, operational, and design-related factors on overall system performance. Furthermore, the need for a comprehensive monitoring approach is emphasized, given that thermal performance is closely linked to the electrical behavior of the system. Regarding AI, its main applications in this field are discussed, particularly in efficiency and environmental variable prediction, design optimization, and the identification of optimal solar system configurations. The integration of AI and real-time monitoring, along with component improvements, can significantly enhance the impact of PVT systems in the energy transition, promoting their adoption in residential and commercial applications and contributing to global sustainability goals.es
dc.format.mimetypeapplication/pdfes
dc.language.isospaes
dc.publisherWileyes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleSystematic Review of Flat Plate Photovoltaic Thermal Systems: Components, Efficiency, Monitoring, and Artificial Intelligencees
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1002/ente.202500425es
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/10.1002/ente.202500425es
dc.identifier.publicationtitleEnergy Technologyes
dc.peerreviewedSIes
dc.description.projectConsejería Competente en Materia de Investigación Universitaria and the European Social Fund Plus (FSE+)). Grant Number: (Fondo Social Europeo Plus, Programa Operativo de Castilla y León, y de la Junta de Castilla y León, a través de la Consejería de Educaciónes
dc.description.projectCátedra Conocimiento e innovación Caja Rural de Soria, Agreement between the University of Valladolid and ABORA ENERGY S.L. for the "Pilot installation and validation of the new hybrid solar panel SHEes
dc.identifier.essn2194-4296es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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