Computational study of natural ventilation in a sustainable building complex geometry
Computational study of natural ventilation in a sustainable building complex geometry
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可持续建筑综合体几何形状中自然通风的计算研究
DOI：
10.1016/j.seta.2021.101153
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发表时间：
2021
影响因子：
8
通讯作者：
Ganapathysubramanian, B
中科院分区：
文献类型：
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作者：
Passe, U;Ganapathysubramanian, B
我们部署了一种完全耦合的热流体有限元方法来模拟具有复杂几何形状的可持续设计建筑中的自然通风。“联锁屋”使用建筑设计来控制气候，而不是机械手段（如空调）。因此，准确地模拟自然通风流动是至关重要的，以评估热舒适性，在这样的设计。采用基于残差的变分多尺度方法（VMS），这是一种大涡模拟（LES）类型的湍流模拟方法。VMS公式进一步增加了一个弱强制边界条件的方法，有效地解决边界层的影响。我们验证的框架使用规范的Rayleigh Bénard对流问题在不同的流态。我们部署的框架，分析在两个自然通风配置下，其特征在于开窗策略的房子热流动。网格收敛研究使用的配置之一，以验证该框架。比较了两种方案的流场和温度分布。计算空气扩散性能指数（ADPI）和预测平均投票（PMV），以研究两种配置下的热舒适性。这项工作说明了框架的能力，全面的模型和预测自然通风在各种操作场景下。
We deploy a fully coupled thermo-fluidic finite element approach to simulating natural ventilation in a sustainably designed building with complex geometry. The ‘interlock house’ uses building design for climate control instead of mechanical means (such as air conditioning). Therefore, accurately modeling the natural ventilation flows is crucial to assess thermal comfort in such designs. A residual-based variational multiscale method (VMS) is employed, which is a Large Eddy Simulation (LES) type approach to turbulence modeling. The VMS formulation is further augmented with a weakly enforced boundary condition method to efficiently resolve the effect of boundary layers. We validate the framework using a canonical Rayleigh Bénard convection problem across different flow regimes. We deploy the framework to analyze thermal flows in the house under two natural ventilation configurations characterized by window opening strategies. Mesh convergence study using one of the configurations is performed to verify the framework. Comparisons of the flow fields and temperature distributions between the two scenarios are discussed. Air diffusion performance index (ADPI) and predicted mean vote (PMV) are computed to investigate thermal comfort in both configurations. This work illustrates the ability of the framework to comprehensively model and predict natural ventilation under various operating scenarios.