Computational fluid dynamics (CFD) has been proven to be a versatile tool for indoor environment simulations. The discretization of computational domain (mesh generation) determines the reliability of CFD simulation and computational cost. For cases with complex/irregular geometries, the widely utilized tetrahedral meshes have critical limitations, including low accuracy, considerate grid number and computing cost. To overcome these disadvantages, the current research developed a polyhedral meshes based meshing strategy for indoor environment simulations. This study applied tetrahedral, hexahedral and polyhedral meshes for evaluating indoor environment cases developed from previous studies. Simulation accuracy, computing time and physical storage of different mesh types were compared. The results show that the polyhedral meshes could save almost 95% of computing time without sacrificing model accuracy, compared with the other two mesh types with the approximately same grid numbers. Due to its large mesh information, the polyhedral meshes occupied the most physical memory. Overall, the polyhedral meshes based meshing strategy produced a superior performance (model accuracy and computing time) for indoor environment simulations and shows a great potential in engineering applications.

计算流体动力学 (CFD) 已被证明是一种用于室内环境模拟的通用工具。计算域的离散化（网格生成）决定了 CFD 仿真的可靠性和计算成本。对于具有复杂/不规则几何形状的情况，广泛使用的四面体网格具有严重的局限性，包括精度低、网格数考虑和计算成本。为了克服这些缺点，目前的研究开发了一种基于多面体网格的室内环境模拟网格划分策略。本研究应用四面体、六面体和多面体网格来评估先前研究开发的室内环境案例。比较了不同网格类型的仿真精度、计算时间和物理存储。结果表明，与网格数大致相同的其他两种网格类型相比，多面体网格可以在不牺牲模型精度的情况下节省近 95% 的计算时间。由于其大量的网格信息，多面体网格占用的物理内存最多。总体而言，基于多面体网格的网格划分策略为室内环境模拟产生了优越的性能（模型精度和计算时间），并在工程应用中显示出巨大的潜力。