Studying the Impacts of Nonoptimal Positioning of the Sensor Modules on the Accuracy of the In Situ U-value Measurements
Autor/a
Fecha de publicación
2023ISSN
2405-8440
Resumen
The non-destructive thermal characterization of building envelopes relies significantly on various factors such as climate conditions, monitoring devices used, indoor environment, and conditioning systems. In the case of both the temperature-based method (TBM) and heat flux meter (HFM) approaches, U-value is determined considering the ideal condition of steady state. However, it is challenging to accurately define the true thermal condition of buildings when monitoring is affected by inherent uncertainties of the chosen approach and inadequate instrumentation of building envelopes. This paper presents the outcomes of an experimental campaign, that aimed to evaluate the impact of incorrectly positioned exterior sensors, on the precision of U-value measurements. This study simultaneously employed the TBM and HFM approaches. To enhance the accuracy of the results, rigorous outlier detection and statistical analysis were employed on the data collected from three autonomous monitoring systems. The findings of this study revealed that the applied data analysis yielded more satisfactory results for the TBM approach compared to HFM. However, regardless of the approach used, the effectiveness of outlier detection relied heavily on the accuracy of the monitoring systems. When removing an individual outlier, the monitoring systems characterized with higher accuracies provided U-values that were closer to the theoretical values, than less accurate ones.
Tipo de documento
Artículo
Versión del documento
Versión publicada
Lengua
Inglés
Materias (CDU)
536 - Calor. Termodinámica
Palabras clave
Páginas
23
Publicado por
Elsevier
Colección
9
Publicado en
Heliyon
Citación
Mobaraki, Behnam; Martinez Garcia, A.; Mellado Mascaraque, M.A. [et al.]. Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement. Heliyon, 2023, 9(7), e17282. Disponible en: <https://www.sciencedirect.com/science/article/pii/S2405844023044900>. Fecha de acceso: 30 jun. 2025. DOI: 10.1016/j.heliyon.2023.e17282
Nota
The authors are indebted to the Spanish Ministry of Economy and Competitiveness for the funding provided through the research projects BIA2017-86811-C2-1-R, directed by Jose Turmo, BIA2017-86811-C2-2-R, directed by Jose Antonio Lozano-Galant, and PID2021-126405OB-C32 funded by FEDER funds—A Way to Make Europe and Spanish Ministry of Economy and Competitiveness MICIN/AEI/10.13039/501100011033/. It is also to be noted that funding for this research has been provided to Behnam Mobaraki by Ministerio de Ciencia Innovación y Universidades: grant number: 2018-COB-9092. Arturo Martínez acknowledges the support provided by the Consejo Nacional de Ciencia y Tecnología (CONACYT) and the Fundación del Instituto Nacional de Bellas Artes (FINBA) given through its doctorate scholarship program.
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Derechos
© 2023 The Authors. Published by Elsevier Ltd.
Excepto si se señala otra cosa, la licencia del ítem se describe como https://creativecommons.org/licenses/by-nc-nd/4.0/

