RIARTE Principal
    • español
    • English
  • español 
    • español
    • English
  • Login
Ver ítem 
  •   RIARTE Principal
  • 2. INVESTIGACIÓN CIENTÍFICA
  • Artículos en revistas científicas
  • Ver ítem
  •   RIARTE Principal
  • 2. INVESTIGACIÓN CIENTÍFICA
  • Artículos en revistas científicas
  • Ver ítem
JavaScript is disabled for your browser. Some features of this site may not work without it.

Correction of Temperature from Infrared Cameras for More Precise As-Is 3D Thermal Models of Buildings

Identificadores
URI: http://hdl.handle.net/20.500.12251/3304
ISSN: 20763417
DOI: 10.3390/app13116779
Compartir
Estadísticas
Ver Estadísticas de uso
Metadatos
Mostrar el registro completo del ítem
Autor
Adán, Antonio; Pérez Andréu, Víctor José; Ramón, Amanda; Castilla, Francisco J.
Fecha
2023
Materia/s

Transferencia de calor por convección

Nube de puntos

Transmitancia térmica

Cámara térmica

Termografía infrarroja

Indicadores ambientales

Confort térmico

Aspectos ambientales

Evaluación ambiental

Modelo térmico

Materia/s Unesco

3305.90 Transmisión de Calor en la Edificación

3311.02 Ingeniería de Control

3311.16 Instrumentos de Medida de la Temperatura

3305.14 Viviendas

2213.10 Relaciones Termodinámicas

Resumen

Featured 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.

Featured 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.

Colecciones
  • Artículos en revistas científicas

Listar

Todo RIARTEComunidades y ColeccionesAutoresTítulosMateriasMaterias UnescoTipos de documentosEsta colecciónAutoresTítulosMateriasMaterias UnescoTipos de documentos

Mi cuenta

AccederRegistro

Estadísticas

Ver Estadísticas de uso

Ayuda

Sobre RIARTEPreguntas frecuentesLocalizar informaciónPolíticasPolítica de Protección de Datos

Políticas Editoriales OA

Logo SHERPA/RoMEOLogo Dulcinea

Difusión de contenido

Logo RecolectaLogo Hispana

Copyright © Consejo General de la Arquitectura Técnica 2018 | Aviso Legal | Política de Protección de Datos

Facebook
Twitter
Contacto Sugerencias