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Sensitivity analysis of transient heat and moisture transfer in a bio-based date palm concrete wall

机译:基于生物的Date Palm混凝土墙瞬态热量和水分转移的敏感性分析

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Hygrothermal mathematical models are commonly used to describe heat and moisture transfer in porous and biobased building construction materials. This allows to evaluate their thermal insulation capacity, as well as their ability to regulate external climatic conditions and ensure indoor comfort for inhabitants. In this paper, a sensitivity analysis is performed on Kunzel's model, while it is applied to simulate the hygrothermal behavior of a wall structure made of a new bio-based building material (cement composite including date palm fibers). In a first part, the effects of finite variations of material properties/boundary conditions on the model's outcome are investigated. In a second step, specific transfer modes are neglected in the model, in order to study their influence on the numerical predictions. The results of this parametric study show that special attention should be paid to few parameters (heat capacity and density for heat transfer, sorption isotherm and water vapor resistance factors for moisture transfer) at the expense of others. Uncertainties on these influent parameters may result in large error accumulation, especially when modeling the moisture transfer process. Furthermore, initial boundary conditions and sensors position appear to be possible sources of discrepancies in the calculated RH profiles. Finally, the pure conduction model is found to provide good estimation of the temperature profiles compared to the full model, whereas liquid transfer must always be taken into account in the model to ensure accurate RH predictions through a bio-based date palm concrete wall.
机译:湿热数学模型通常用于描述多孔和生物化建筑建筑材料中的热量和水分转移。这允许评估其保温容量,以及它们调节外部气候条件的能力,并确保居民的室内舒适度。在本文中,对Kunzel模型进行了灵敏度分析,同时应用于模拟由新的生物基建筑材料(包括日期棕榈纤维的水泥复合材料)制成的壁结构的湿热行为。在第一部分中,研究了有限变化材料性质/边界条件对模型结果的影响。在第二步中,在模型中忽略了特定转移模式,以研究它们对数值预测的影响。该参数学研究结果表明,应特别注意少数参数(热传递热量和密度,吸附等温线和水蒸汽阻力因子,以牺牲他人的牺牲品。这些进入参数的不确定性可能导致误差累积大,尤其是在建模水分转移过程时。此外,初始边界条件和传感器位置似乎是计算出的RH配置文件中的差异源。最后,发现纯传导模型与完整模型相比,对温度分布的良好估计,而必须始终考虑模型中的液体转移,以确保通过基于生物的日期棕榈混凝土墙进行准确的RH预测。

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