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Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement

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...

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Detalles Bibliográficos
Autores principales: Mobaraki, Behnam, Castilla Pascual, Francisco Javier, García, Arturo Martínez, Mellado Mascaraque, Miguel Ángel, Vázquez, Borja Frutos, Alonso, Carmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394917/
https://www.ncbi.nlm.nih.gov/pubmed/37539098
http://dx.doi.org/10.1016/j.heliyon.2023.e17282
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author Mobaraki, Behnam
Castilla Pascual, Francisco Javier
García, Arturo Martínez
Mellado Mascaraque, Miguel Ángel
Vázquez, Borja Frutos
Alonso, Carmen
author_facet Mobaraki, Behnam
Castilla Pascual, Francisco Javier
García, Arturo Martínez
Mellado Mascaraque, Miguel Ángel
Vázquez, Borja Frutos
Alonso, Carmen
author_sort Mobaraki, Behnam
collection PubMed
description 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.
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spelling pubmed-103949172023-08-03 Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement Mobaraki, Behnam Castilla Pascual, Francisco Javier García, Arturo Martínez Mellado Mascaraque, Miguel Ángel Vázquez, Borja Frutos Alonso, Carmen Heliyon Research Article 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. Elsevier 2023-06-14 /pmc/articles/PMC10394917/ /pubmed/37539098 http://dx.doi.org/10.1016/j.heliyon.2023.e17282 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Mobaraki, Behnam
Castilla Pascual, Francisco Javier
García, Arturo Martínez
Mellado Mascaraque, Miguel Ángel
Vázquez, Borja Frutos
Alonso, Carmen
Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement
title Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement
title_full Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement
title_fullStr Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement
title_full_unstemmed Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement
title_short Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement
title_sort studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ u-value measurement
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394917/
https://www.ncbi.nlm.nih.gov/pubmed/37539098
http://dx.doi.org/10.1016/j.heliyon.2023.e17282
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