Alsaad Hayder, Hartmann Maria, Voelker Conrad
Department of Building Physics, Bauhaus-University Weimar, Weimar, Germany.
Data Brief. 2021 Dec 27;40:107741. doi: 10.1016/j.dib.2021.107741. eCollection 2022 Feb.
This dataset presents the numerical analysis of the heat and moisture transport through a facade equipped with a living wall system designated for greywater treatment. While such greening systems provide many environmental benefits, they involve pumping large quantities of water onto the wall assembly, which can increase the risk of moisture in the wall as well as impaired energetic performance due to increased thermal conductivity with increased moisture content in the building materials. This dataset was acquired through numerical simulation using the coupling of two simulation tools, namely Envi-Met and Delphin. This coupling was used to include the complex role the plants play in shaping the near-wall environmental parameters in the hygrothermal simulations. Four different wall assemblies were investigated, each assembly was assessed twice: with and without the living wall. The presented data include the input and output parameters of the simulations, which were presented in the co-submitted article (Alsaad et al., 2022).
该数据集展示了通过配备用于中水（灰水）处理的植物墙系统的建筑立面进行热湿传递的数值分析。虽然此类绿化系统带来诸多环境效益，但它们需要向墙体组件大量抽水，这可能会增加墙体受潮风险，以及因建筑材料中水分含量增加导致热导率上升而使能源性能受损。该数据集是通过使用Envi-Met和Delphin这两种模拟工具耦合进行数值模拟获得的。这种耦合用于在湿热模拟中纳入植物在塑造近墙环境参数方面所起的复杂作用。研究了四种不同的墙体组件，每个组件都在有和没有植物墙的情况下进行了两次评估。所呈现的数据包括模拟的输入和输出参数，这些参数在共同提交的文章（Alsaad等人，2022年）中有所呈现。
