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Comparative study of Hot Box Test Method using laboratory evaluation of thermal properties of a given building envelope system type

机译:使用实验室评估给定建筑围护结构系统类型的热性能进行热箱测试方法的比较研究

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This research mainly focuses on the experimental setup of the Hot Box Test Method and comparison of different models for measurement of thermal properties of building envelope systems. Hot Box Test Method has long been used to determine the thermal properties of building envelope systems, however, the steady-state assumption for calculation is not always desired, especially when the environmental conditions cannot be controlled. To utilize models considering the dynamic behavior of buildings for in-situ measurement, it is desired to first validate such models and compare the performances with hot box test. Therefore, the performances of several dynamic models, including Anderlind's Regression Model and R-C Network Model, have been studied. Hot box tests were performed in the Building Enclosure Testing Laboratory (BETL) at Penn State University and the results show the 3R2C model turns out to be the most accurate one among the dynamic models explored in this study. With a temperature difference larger than 20 degrees C, all dynamic models are validated with a percentage difference lower than 7% compared with the steady-state analysis, giving us alternatives for R-value measurement when in-situ measurement condition are applied. (C) 2018 Elsevier B.V. All rights reserved.
机译:这项研究主要侧重于热箱测试方法的实验设置,以及比较用于测量建筑围护系统热特性的不同模型。热箱测试方法长期以来一直用于确定建筑围护结构系统的热性能,但是,并非总是需要用于计算的稳态假设,尤其是在无法控制环境条件的情况下。为了利用考虑建筑物的动态行为的模型进行现场测量,期望首先验证这种模型并将性能与热箱测试进行比较。因此,研究了包括安德林德回归模型和R-C网络模型在内的几种动态模型的性能。在宾夕法尼亚州立大学的建筑外壳测试实验室(BETL)中进行了热箱测试,结果表明3R2C模型被证明是本研究中探索的动态模型中最准确的一种。当温度差大于20摄氏度时,与稳态分析相比,所有动态模型的百分比差异均小于7%,这为我们提供了在现场测量条件下进行R值测量的替代方法。 (C)2018 Elsevier B.V.保留所有权利。

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