A Study on Estimation Model of Incidence Factor of the Thermal Bridge Using In-Situ Measurement Infrared Thermography

Eun-Gu Kang, H. Lee, Dongsu Kim, Jongho Yoon
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Abstract

Practical thermal bridge performance indicators (ITBs) of existing buildings may differ from calculated thermal bridge performance derived theoretically due to actual construction conditions, such as effect of irregular shapes and aging. To fill this gap in a practical manner, more realistic quantitative evaluation of thermal bridge at on-site needs to be considered to identify thermal behaviors throughout exterior walls and thus improve overall insulation performance of buildings. In this paper, the model of a thermal bridge performance indicator is developed based on an in-situ Infrared thermography method, and a case study is then carried out to evaluate thermal performance of an existing exterior wall using the developed model. For the estimation method in this study, the form of the likelihood function is used with the Bayesian method to constantly reflect the measured data. Subsequently, the coefficient of variation is applied to analyze required times for the assumed convergence. Results from the measurement for three days show that thermal bridge under the measurement has more heat losses, including 1.14 times, when compared to the non-thermal bridge. In addition, the results present that it takes about 40 hours to reach 1% of the variation coefficient. Comparison of the ITB estimated at coefficient of variation 1% (40 hours point) with the ITB estimated at end-of-experiment (72 hours point) results in 0.9% of a relative error.
利用原位测量红外热成像技术估算热桥发生系数模型的研究
由于不规则形状和老化等实际施工条件的影响,既有建筑的实际热桥性能指标(ITB)可能与理论计算得出的热桥性能不同。为了填补这一空白,需要考虑对现场热桥进行更实际的定量评估,以确定整个外墙的热行为,从而提高建筑物的整体保温性能。本文基于现场红外热成像方法建立了热桥性能指标模型,并利用建立的模型对现有外墙的热性能进行了案例研究。在本研究的估算方法中,使用了贝叶斯方法的似然函数形式,以不断反映测量数据。随后,应用变异系数分析假定收敛所需的时间。三天的测量结果表明,与非热桥相比,测量下的热桥有更多的热损失,包括 1.14 倍的热损失。此外,结果还显示,达到 1%的变化系数需要约 40 个小时。将变异系数为 1%(40 小时点)时估算的 ITB 与实验结束(72 小时点)时估算的 ITB 相比,相对误差为 0.9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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