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The combined effect of heat and moisture transfer dependent thermal conductivity of polystyrene insulation material: Impact on building energy performance

机译：取决于热量和水分传递的聚苯乙烯保温材料的热导率的综合效应：对建筑能源性能的影响

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The aim of this article is to elucidate the combined impact of heat and humidity transfer on the thermal conductivity of polystyrene used as an insulation for building envelope. In building energy assessment, the conductivity of the insulation material is assumed to be constant. This yields inaccurate results, as the thermal conductivity, k-value, of any material is a complex function of many factors, such as temperature, moisture, and density. This dependence has been shown in extant studies and linear variation of the thermal conductivity vs. temperature have been proposed for fibrous materials. Accurate evaluation of building thermal comfort and energy assessment, which requires a precise calculation of the cooling load, and thus the sizing of the HVAC equipment, depends on the accurate determination of the thermal resistance of the building envelope components, the insulation material in particular. The aim of this work is thus to inspect the combined effect of operating temperature and moisture content on the thermal conductivity of polystyrene insulation material and its impact on the energy performance of buildings. The results reveal that the k-value of the polystyrene insulation is significantly influenced by its moisture content at different operating temperatures. Indeed, an 8% increase in the total cooling load calculated at 28 degrees C and 30% moisture was measured relative to the base case evaluated at 24 degrees C and 0% moisture. (C) 2018 Elsevier B.V. All rights reserved.
机译：本文的目的是阐明热和湿气传递对用作建筑外墙保温材料的聚苯乙烯的导热性的综合影响。在建筑能耗评估中，假定绝缘材料的电导率是恒定的。由于任何材料的导热系数k值都是许多因素（例如温度，湿度和密度）的复杂函数，因此得出的结果不准确。在现有的研究中已经显示出这种依赖性，并且已经提出了纤维材料的热导率相对于温度的线性变化。建筑物热舒适性和能量评估的准确评估需要精确计算冷却负荷，从而需要HVAC设备的尺寸，这取决于对建筑物围护结构组件（尤其是隔热材料）的热阻的准确确定。因此，这项工作的目的是检查工作温度和水分含量对聚苯乙烯保温材料的导热性及其对建筑物能源性能的影响的综合影响。结果表明，聚苯乙烯绝缘材料的k值受其在不同工作温度下的水分含量的影响很大。实际上，相对于在24摄氏度和0％湿度下评估的基础案例而言，在28摄氏度和30％水分下计算得出的总冷却负荷增加了8％。 （C）2018 Elsevier B.V.保留所有权利。

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