首页> 外文会议>Third International Conference on Urban Air Quality - Measurement, Modeling and Management Mar 19-23, 2001 Loutraki, Greece >NUMERICAL PREDICTION OF DISPERSION CHARACTERISTICS IN AN URBAN AREA BASED ON GRID REFINEMENT AND VARIOUS TURBULENCE MODELS
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NUMERICAL PREDICTION OF DISPERSION CHARACTERISTICS IN AN URBAN AREA BASED ON GRID REFINEMENT AND VARIOUS TURBULENCE MODELS

机译:基于网格细化和湍流模型的城市区域弥散特征的数值预测

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A detailed simulation of the Goettinger Strasse pollutant dispersion problem is performed using the CFD code CFX-TASCflow for different wind directions. Two turbulence models, the κ―ε and the RSM are adopted on three grid refinement levels. Besides the typical reference grid implemented by the TRAPOS group, two different grid resolutions are introduced. The first refinement is in the whole street canyon region on the x―y level, while the second one is local in all three directions. Validation of all involved computational schemes is performed based on relative available experimental data. The computed velocity fields and concentration contours imply that the typical reference grid is a suitable choice for the velocity fields, while local grid refinement in all three directions in a small region containing the receptor is required to upgrade the pollutant concentration results with modest additional computational effort. Finally the RSM model resulted in smaller concentration levels. The κ―ε model compared to the RSM seems a more appropriate choice to solve this particular problem.
机译:使用CFD代码CFX-TASCflow针对不同的风向对Goettinger Strasse污染物扩散问题进行了详细的模拟。在三个网格细化水平上采用了两种湍流模型,即κ-ε和RSM。除了TRAPOS组实现的典型参考网格外,还引入了两种不同的网格分辨率。第一个改进是在x-y级别的整个街道峡谷区域,而第二个改进是在所有三个方向上都是局部的。所有相关计算方案的验证均基于相对可用的实验数据进行。计算出的速度场和浓度等值线表明典型的参考网格是速度场的合适选择,而在包含接收器的小区域内需要在所有三个方向上对局部网格进行细化,以通过适度的额外计算工作来提高污染物浓度结果。最后,RSM模型导致较小的浓度水平。与RSM相比,κ-ε模型似乎是解决此特定问题的更合适的选择。

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