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研究测试条件和传感器非最佳定位对原位U值测量准确性的影响。

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

作者信息

Mobaraki Behnam, Castilla Pascual Francisco Javier, García Arturo Martínez, Mellado Mascaraque Miguel Ángel, Vázquez Borja Frutos, Alonso Carmen

机构信息

Department of Civil and Building Engineering, Universidad de Castilla-La Mancha (UCLM), Av. Camilo Jose Cela s/n, 13071, Ciudad Real, Spain.

Department of Applied Mechanics and Project Engineering, Universidad de Castilla-La Mancha (UCLM), Escuela Técnica Superior de Ingenieros Industriales, 02071, Albacete, Spain.

出版信息

Heliyon. 2023 Jun 14;9(7):e17282. doi: 10.1016/j.heliyon.2023.e17282. eCollection 2023 Jul.

DOI:10.1016/j.heliyon.2023.e17282
PMID:37539098
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10394917/
Abstract

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.

摘要

建筑围护结构的无损热特性很大程度上依赖于多种因素,如气候条件、所使用的监测设备、室内环境和调节系统。在基于温度的方法(TBM)和热流计(HFM)方法中,U值是在稳态理想条件下确定的。然而,当监测受到所选方法的固有不确定性和建筑围护结构仪器配置不足的影响时,准确界定建筑物的真实热状况具有挑战性。本文介绍了一项实验活动的结果,该活动旨在评估外部传感器位置不当对U值测量精度的影响。本研究同时采用了TBM和HFM方法。为提高结果的准确性,对从三个自主监测系统收集的数据进行了严格的异常值检测和统计分析。本研究结果表明,与HFM相比,应用的数据分析对TBM方法产生了更令人满意的结果。然而,无论使用哪种方法,异常值检测的有效性在很大程度上依赖于监测系统的准确性。在去除单个异常值时,与准确性较低的监测系统相比,准确性较高的监测系统提供的U值更接近理论值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/9864e499ceff/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/998c5d0324af/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/28c68004a616/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/66708eeee61e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/4bf23c94e521/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/cf1c4f33e05a/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/ee1f99ddc299/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/15dc068a5a23/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/293960b66e51/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/b32d5c6f396c/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/4bfaa7d2044f/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/9864e499ceff/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/998c5d0324af/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/28c68004a616/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/66708eeee61e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/4bf23c94e521/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/cf1c4f33e05a/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/ee1f99ddc299/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/15dc068a5a23/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/293960b66e51/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/b32d5c6f396c/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/4bfaa7d2044f/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9164/10394917/9864e499ceff/gr11.jpg

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