Hygrothermal mathematical models are commonly used to describe heat and moisture transfer in porous and bio-based 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.

湿热数学模型通常用于描述多孔和生物基建筑材料中的热量和水分传递。这可以评估它们的隔热能力，以及它们调节外部气候条件和确保居民室内舒适度的能力。在本文中，对 Kunzel 模型进行了敏感性分析，同时将其应用于模拟由新型生物基建筑材料（包括椰枣纤维的水泥复合材料）制成的墙体结构的湿热行为。在第一部分中，研究了材料特性/边界条件的有限变化对模型结果的影响。第二步，在模型中忽略特定的传递模式，以研究它们对数值预测的影响。该参数研究的结果表明，应特别注意少数参数（热传递的热容量和密度、吸湿等温线和水分传递的水蒸气阻力系数），而忽略了其他参数。这些进水参数的不确定性可能会导致大量的误差累积，尤其是在模拟水分传递过程时。此外，初始边界条件和传感器位置似乎是计算出的 RH 剖面的可能差异来源。最后，发现纯传导模型与完整模型相比可以提供对温度分布的良好估计，而模型中必须始终考虑液体转移，以确保通过生物基椰枣混凝土墙准确预测 RH。