A novel data acquisition system for obtaining thermal parameters of building envelopes
Author
Publication date
2022ISSN
2075-5309
Abstract
Owing to the high energy consumption in the building sector, appraising the thermal performance of building envelopes is an increasing concern. Recently, a few in situ methodologies to diagnose the thermal parameters of buildings have been considered. However, because of their limitations such as low accuracy, limited number of measurements, and the high cost of monitoring devices, researchers are seeking a new alternative. In this study, a novel hyper-efficient Arduino transmittance-meter was introduced to overcome these limitations and determine the thermal parameters of building envelopes. Unlike conventional methodologies, the proposed transmittance-meter is based on synchronized measurements of different parameters necessary to estimate the transmittance parameter. To verify the applicability of the transmittance-meter, an experimental study was conducted wherein a temperature-controlled box model was thermally monitored, and the outputs of the transmittance-meter employed were compared with those captured by a commercial device. The results revealed a high level of reduction in cost and a low range of difference compared with the latter, thereby validating the applicability of the proposed thermal monitoring system.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
5 - Natural Sciences
Keywords
Pages
20
Publisher
MDPI
Collection
12; 5
Is part of
Buildings
Citation
Mobaraki, Behnam; Komarizadehasl, Seyedmilad; Castilla Pascual, Francisco Javier [et al.]. A novel data acquisition system for obtaining thermal parameters of building envelopes. Buildings , 2022, 12(5), 670. Disponible en: <https://www.mdpi.com/2075-5309/12/5/670>. Fecha de acceso: 30 jun. 2025. DOI: 10.3390/buildings12050670
Note
The authors are indebted to the Spanish Ministry of Economy and Competitiveness for the funding provided through the research projects BIA2013-47290-R, BIA2017-86811-C2-1-R and BIA2017-86811-C2-2-R. It is also to be noted that funding for this research has been provided to Behnam Mobaraki by Ministerio de Ciencia Innovación y Universidades: PRE2018-085172.
This item appears in the following Collection(s)
- Ciències Bàsiques [94]
Rights
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/

