首页> 外文会议>International Conference on Energy, Environment and Sustainable Development >A Comparative Study of Various Turbulence Models for Simulating Pollutant Dispersion within an Isolated Street Canyon
【24h】

A Comparative Study of Various Turbulence Models for Simulating Pollutant Dispersion within an Isolated Street Canyon

机译:孤立街道峡谷模拟污染物分散的各种湍流模型的比较研究

获取原文

摘要

CFD calculations are carried out using the standard, RNG and realizable k-ε turbulence models to simulate the airflow and pollutant dispersion inside an isolated street canyon. The computed air velocity vector fields and pollutant concentration contours show that all the three studied k-ε models produce a very similar clockwise vortex structure that carries the pollutants released from the line source on the street floor towards the leeward side of the canyon. The calculated non-dimensional pollutant concentration distributions on both the leeward and windward walls of the canyon are compared with the wind tunnel measured data. It is revealed that (1) on the windward wall of the canyon, the calculated pollutant concentrations using the standard, RNG and realizable k-ε models are all in perfect agreement with the experimental observations, (2) the RNG and realizable k-ε models provide almost the same results for pollutant concentration distributions on the leeward wall of the canyon, (3) the RNG and realizable k-ε models overestimate greatly the pollutant concentration values on the leeward wall of the canyon, whereas the concentration distributions predicted by the standard k-ε model on the leeward wall are in reasonable agreement with the wind tunnel data.
机译:CFD计算进行了使用标准,RNG和可实现的k-ε紊流模型来模拟一种分离的街道峡谷内的气流和污染物扩散。所计算的空气速度矢量场和污染物浓度的轮廓显示,所有三个研究的的k-ε模型产生非常相似的顺时针涡流结构携带从线源朝向峡谷的背风面释放在街道上地板上的污染物质。在背风和峡谷的迎风壁两者计算出的无量纲污染物浓度分布与风洞测量数据进行比较。据透露,(1)在峡谷的迎风壁,所计算出的污染物浓度使用标准,RNG和可实现的k-ε模型都在与实验结果完全一致,(2)的RNG和可实现的k-ε模型提供几乎为在峡谷的背风壁污染物浓度分布相同的结果,(3)的RNG和可实现的k-ε模型高估大大在峡谷的背风壁的污染物浓度值,而浓度分布由预测在背风壁标准k-ε模型是与所述风洞数据合理地一致。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号