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dc.contributor.authorAdán, Antonio
dc.contributor.authorPérez Andréu, Víctor José
dc.contributor.authorRamón, Amanda
dc.contributor.authorCastilla, Francisco J.
dc.date.accessioned2024-09-13T17:29:30Z
dc.date.available2024-09-13T17:29:30Z
dc.date.issued2023
dc.identifier.citationAdán, A., Pérez Andréu, V. J., Ramón, A. y Castilla, F. J. (2023). Correction of Temperature from Infrared Cameras for More Precise As-Is 3D Thermal Models of Buildings. Applied Sciences (Switzerland), 13 (11), 6779. https://doi.org/10.3390/app13116779es
dc.identifier.issn20763417
dc.identifier.urihttp://hdl.handle.net/20.500.12251/3304
dc.description.abstractFeatured Application: The corrections presented in this paper can be applied in order to obtain a reliable empirical calculus of energy parameters in buildings by means of infrared imaging techniques. This paper studies how to create precise 3D thermal maps of building interiors by correcting the raw apparent temperature values yielded by the thermal cameras. This matter has not, to date, been dealt with in the literature, which leads us to conclude that the current methodologies that obtain thermal point clouds are incomplete and imprecise. Without a suitable correction, any further energy parameter calculation obtained from the thermal point cloud is incorrect. This paper presents a method that deals with important aspects to be corrected, such as the repeatability of thermal cameras, the use of the true emissivity of the materials sensed, and the inclusion of the reflected radiant energy caused by the environment. The method has been successfully tested in several indoor scenes using a thermal scanning platform. The results show that significant corrections of up to 8% of the raw temperature values must be carried out in the final thermal model, thus justifying the need for the correction. As an application of the method, an empirical calculation and a comparison of transmittances with and without temperature corrections are presented at the end of the paper. In this case, the relative errors with respect to the average nominal U-value decrease from 94% to 11%. The general conclusion is that precise calculations of energy parameters in which infrared cameras are involved must take these corrections to temperature into account. © 2023 by the authors.es
dc.language.isoenges
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)es
dc.titleCorrection of Temperature from Infrared Cameras for More Precise As-Is 3D Thermal Models of Buildingses
dc.typearticlees
dc.identifier.doi10.3390/app13116779
dc.issue.number11es
dc.journal.titleApplied Sciences (Switzerland)es
dc.subject.keywordTransferencia de calor por convecciónes
dc.subject.keywordNube de puntoses
dc.subject.keywordTransmitancia térmicaes
dc.subject.keywordCámara térmicaes
dc.subject.keywordTermografía infrarrojaes
dc.subject.keywordIndicadores ambientaleses
dc.subject.keywordConfort térmicoes
dc.subject.keywordAspectos ambientaleses
dc.subject.keywordEvaluación ambientales
dc.subject.keywordModelo térmicoes
dc.subject.unesco3305.90 Transmisión de Calor en la Edificaciónes
dc.subject.unesco3311.02 Ingeniería de Controles
dc.subject.unesco3311.16 Instrumentos de Medida de la Temperaturaes
dc.subject.unesco3305.14 Viviendases
dc.subject.unesco2213.10 Relaciones Termodinámicases
dc.volume.number13es
dc.item.number6779es


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