Proposing 3D thermal technology for heritage building energy monitoring
The energy monitoring of heritage buildings has, to date, been governed by methodologies and standards that have been defined in terms of sensors that record scalar magnitudes and that are placed in specific positions in the scene, thus recording only some of the values sampled in that space. In thi...
| Autores: | , , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Recursos: | Consejo General de la Arquitectura Técnica de España (CGATE) |
| Repositorio: | RIARTE |
| OAI Identifier: | oai:www.riarte.es:20.500.12251/2642 |
| Acesso em linha: | http://hdl.handle.net/20.500.12251/2642 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105762978&doi=10.3390%2frs13081537&partnerID=40&md5=90a2fa8fb3df070bfc020747c5362580 |
| Access Level: | acceso abierto |
| Palavra-chave: | Monitorización de edificios Modelado tridimensional Auditoría energética Comportamiento energético Edificación residencial 3305.14 Viviendas 3311.02 Ingeniería de Control 3322.01 Distribución de la Energía 1203.09 Diseño Con Ayuda del Ordenador 3311.17 Equipos de Verificación |
| Resumo: | The energy monitoring of heritage buildings has, to date, been governed by methodologies and standards that have been defined in terms of sensors that record scalar magnitudes and that are placed in specific positions in the scene, thus recording only some of the values sampled in that space. In this paper, however, we present an alternative to the aforementioned technologies in the form of new sensors based on 3D computer vision that are able to record dense thermal information in a three-dimensional space. These thermal computer vision-based technologies (3D-TCV) entail a revision and updating of the current building energy monitoring methodologies. This paper provides a detailed definition of the most significant aspects of this new extended methodology and presents a case study showing the potential of 3D-TCV techniques and how they may complement current techniques. The results obtained lead us to believe that 3D computer vision can provide the field of building monitoring with a decisive boost, particularly in the case of heritage buildings. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
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