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Effects of different CFD modeling approaches and simplification of shape on prediction of flow field around manikin

机译:不同的CFD建模方法和形状简化对人体模型周围流场预测的影响

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摘要

Providing a comfortable and pleasant indoor environment for the occupants is the primary objective of an efficient ventilation process. Therefore, it is important to gain a proper understanding between the interaction of airflow and the occupants which determines the ultimate ventilation strategy and as one of the final outcomes, the architecture layout itself. The CFD (Computational Fluid Dynamics) methods provide an accurate and robust tool to simulate the complex airflow structure in enclosed spaces. Among the CFD simulation approaches, the large eddy simulation (LES) and its hybrid variants such as detached eddy simulation (DES) provides the information on the flow behavior by modeling the small turbulent structures of the airflow encountered in an indoor environment. These methods are highly sensitive to the boundary conditions which are the pivotal factors in an indoor airflow modeling and its accuracy. The main objectives of this paper are: (a) to assess the performance of different LES and DES models in capturing velocity and thermal fields (b) to investigate the effect of manikin's shape on the accuracy of predictions. Three LES SGS (sub-grid scale) and one DES models are applied in this study considering the cases with and without the radiation from the manikin. Moreover, the effect of simplifying the manikins' geometry on velocity and thermal distribution is investigated. Results showed that a detailed manikin shape can provide more accurate predictions (4-10%) at some locations, especially those close to the manikin's body. As for performance of the applied models, Comparisons showed that ZEM and WALE models provide a better predictions of velocity and temperature fields by 3-10% at different locations. (C) 2018 Elsevier B.V. All rights reserved.
机译:为乘员提供舒适宜人的室内环境是高效通风过程的主要目标。因此,重要的是要正确了解气流与乘员之间的相互作用,从而确定最终的通风策略,并作为最终结果之一,即架构布局本身。 CFD(计算流体动力学)方法提供了一种精确而强大的工具来模拟封闭空间中的复杂气流结构。在CFD仿真方法中,大涡流仿真(LES)及其混合变量(例如分离涡流仿真(DES))通过对室内环境中遇到的气流的小湍流结构进行建模来提供有关流动行为的信息。这些方法对边界条件高度敏感,而边界条件是室内气流建模的关键因素及其准确性。本文的主要目标是:(a)评估不同的LES和DES模型在捕获速度和热场方面的性能(b)研究人体模型的形状对预测准确性的影响。考虑到人体模型有无辐射的情况,本研究采用了三个LES SGS(子网格规模)和一个DES模型。此外,研究了简化人体模型的几何形状对速度和热分布的影响。结果显示,详细的人体模型形状可以在某些位置,尤其是靠近人体模型的位置提供更准确的预测(4-10%)。至于应用模型的性能,比较结果表明,ZEM和WALE模型在不同位置提供了3-10%的更好的速度和温度场预测。 (C)2018 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Energy and Buildings 》 |2018年第7期| 47-60| 共14页
  • 作者单位

    Univ Coll Dublin, Sch Chem & Bioproc Engn, Dublin 4, Belfield Dublin, Ireland;

    Aalto Univ, Dept Mech Engn, Espoo 00076, Finland;

    Aalto Univ, Dept Civil Engn, Espoo 00076, Finland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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