Xu W, Chen Q
Building Technology Program, Massachusetts Institute of Technology, Cambridge 02139-4307, USA.
Indoor Air. 2000 Dec;10(4):306-14. doi: 10.1034/j.1600-0668.2000.010004306.x.
Most indoor airflows are mixed convection. In order to simulate mixed convection accurately and efficiently, this paper uses a two-layer turbulence model. The two-layer model combines a one-equation model for near wall flow together with the standard k-epsilon model for outer-wall flow. The model has been used to predict the mixed convection by displacement ventilation in an office. The computed results agree well with the corresponding airflow pattern and the distributions of air temperature, air velocity, air velocity fluctuation, and tracer-gas concentration. The model can predict correctly heat transfer from a wall where the standard k-epsilon model and re-normalization group (RNG) k-epsilon model with wall functions often fails. The computing cost required by the two-layer model is comparable to that of the standard k-epsilon model and RNG k-epsilon model and is significantly less than that by a low-Reynolds number model.
大多数室内气流为混合对流。为了准确、高效地模拟混合对流，本文采用了两层湍流模型。该两层模型将近壁流动的单方程模型与外壁流动的标准k-ε模型相结合。该模型已用于预测办公室置换通风的混合对流。计算结果与相应的气流模式以及空气温度、风速、风速波动和示踪气体浓度的分布吻合良好。该模型能够正确预测从壁面的传热，而标准k-ε模型和带有壁面函数的重整化群（RNG）k-ε模型在此处常常失效。两层模型所需的计算成本与标准k-ε模型和RNG k-ε模型相当，且显著低于低雷诺数模型。
