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Comparison between heat-flow meter and Air-Surface Temperature Ratio techniques for assembled panels thermal characterization

机译:热流表和空气表面温度比技术用于组装面板热特性的比较

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Walls thermal characterization is fundamental for the evaluation of the energy performance of buildings and for the energy certification practice and simulations. The evaluation of the thermal characteristics of building walls can be achieved through mathematical calculations (when the stratigraphy is known, and technical data are available) or non-destructive techniques (when wall layers are unknown, and they cannot be altered).Starting from this, the aim of this study is a critical analysis of the basic principles related to heat-flow meter (HFM) and Air-Surface Temperature Ratio (ASTR) methods. In particular, the heat flow meter method was tested during summer, comparing the obtained results with a previous measurement campaign, conducted in the same university lab during winter, and theoretical value; then the heat-flow meter method was compared with the Air-Surface Temperature Ratio technique, considering the indoor air temperature vertical profile. The influence of the constant total internal heat transfer coefficient (h(i)) suggested by ISO 6946 (generally used) was investigated, providing a simple data elaboration for assessing the actual total heat transfer coefficient. In addition, the influence of the reciprocal positions of the temperature probes on final results was analyzed, finding significant deviations.Comparing the h(i) constant value suggested by the standard and the ones obtained experimentally, percentage differences, ranging from about 40% to about 143%, were obtained. (C) 2019 Elsevier B.V. All rights reserved.
机译:墙体的热特性对于评估建筑物的能源性能以及进行能源认证实践和模拟至关重要。可以通过数学计算(已知地层且可获得技术数据)或非破坏性技术(未知墙层且无法更改墙层)来实现对建筑物墙体热特性的评估。 ,这项研究的目的是对与热流量计(HFM)和空气表面温度比(ASTR)方法有关的基本原理进行严格的分析。特别是,在夏季对热流量计方法进行了测试,将所得结果与冬季在同一大学实验室中进行的先前测量活动进行了比较,并得出了理论值;然后考虑室内空气温度垂直分布,将热流表方法与空表面温度比技术进行了比较。研究了ISO 6946(通常使用)建议的恒定的总内部传热系数(h(i))的影响,为评估实际总传热系数提供了简单的数据阐述。此外,分析了温度探头的倒数位置对最终结果的影响,发现了明显的偏差。将标准建议的h(i)常数值与实验得出的常数进行比较,百分比差异在40%到50%之间。获得约143%。 (C)2019 Elsevier B.V.保留所有权利。

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