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    • Dpto. Ingeniería Agrícola y Forestal
    • DEP42 - Artículos de revista
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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/76883

    Título
    Systematic Review of Flat Plate Photovoltaic Thermal Systems: Components, Efficiency, Monitoring, and Artificial Intelligence
    Autor
    Velasco Bonilla, Amy Zulema
    Hernández‐Callejo, Luis
    Redondo‐Plaza, Alberto
    Koh Martin, Karen Paola
    Alonso Gómez, VíctorAutoridad UVA Orcid
    Torres Aguilar, Carlos Enrique
    Zorita Lamadrid, Angel
    del Amo Sancho, Alejandro
    Bassam, Ali
    Año del Documento
    2025
    Editorial
    Wiley
    Descripción
    Producción Científica
    Documento Fuente
    Velasco 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.202500425
    Abstract
    The 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.
    ISSN
    2194-4288
    Revisión por pares
    SI
    DOI
    10.1002/ente.202500425
    Patrocinador
    Consejería 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 Educación
    Cátedra 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 SHE
    Version del Editor
    https://onlinelibrary.wiley.com/doi/10.1002/ente.202500425
    Idioma
    spa
    URI
    https://uvadoc.uva.es/handle/10324/76883
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Collections
    • DEP42 - Artículos de revista [295]
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    Attribution-NonCommercial-NoDerivatives 4.0 InternacionalExcept where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional

    Universidad de Valladolid

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