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LES simulation of flow field and pollutant dispersion in a street canyon under time-varying inflows with Time Varying-SIMPLE approach

机译:用时变-SIMPLE方法对时空流入下街道峡谷流场和污染物扩散的LES模拟

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摘要

Field observation data have shown that the actual wind speed and direction in an urban built environment always vary with time. Realizing the flow field simulation under time-varying inflows can have a great significance in fully understanding the airflow and the transportation of air pollutants in the atmospheric boundary layer. A new scheme based on the standard SIMPLE (Semi-Implicit Method for Pressure Linked Equations) algorithm has been implemented in OpenFOAM, named as TimeVarying-SIMPLE approach, to simulate the time-series airflow field under time-varying inflows in this study. The accuracy of TimeVarying-SIMPLE approach compared with PISO (Pressure-Implicit with Splitting of Operators) algorithm and PIMPLE (merged PISO-SIMPLE) algorithm was validated by solving the fully developed laminar flow in a straight pipe under sinusoidally varying inflow. The wind field and pollutant dispersion in an ideal street canyon with an aspect ratio of 1 under time-varying inflows were calculated using the TimeVarying-SIMPLE approach. The flows show an obvious flapping of the shear layer near the roof layer and the expansion or shrinkage of the main vortex under time-varying inflows, resulting in a significant increase of the removal efficiency of pollutants inside the street canyon compared to that under steady inflow. The average time of actual high-frequency wind speed data is critical to produce the time-varying inflows for the boundary conditions of numerical simulations, which could produce different simulated removal efficiency of pollutants inside the street canyon. The appropriate average time should be estimated by the pre-multiplied power spectrum of the measured high-frequency wind-speed data.
机译:现场观测数据表明,城市建筑环境中的实际风速和风向总是随时间变化的。在时变流入下实现流场模拟,对于充分了解大气边界层中的空气流动和空气污染物的输送具有重要意义。本研究在OpenFOAM中实施了一种基于标准SIMPLE(压力链接方程的半隐式方法)算法的新方案,称为TimeVarying-SIMPLE方法,以模拟随时间变化的入风情况下的时间序列气流场。 TimeVarying-SIMPLE方法与PISO(带操作符拆分的压-隐式)算法和PIMPLE(合并的PISO-SIMPLE)算法相比,其精度是通过解决正弦变化的流入量下直管中完全展开的层流来验证的。使用TimeVarying-SIMPLE方法计算了在时变流入下纵横比为1的理想街道峡谷中的风场和污染物扩散。流动表明在时变流入下,剪切层在顶层附近发生了明显的拍打,并且主旋涡膨胀或收缩,与稳定流入下相比,导致街道峡谷内污染物的去除效率显着提高。 。实际高频风速数据的平均时间对于在数值模拟的边界条件下产生随时间变化的流入至关重要,这可能会产生模拟的街道峡谷内污染物去除效率。适当的平均时间应通过测得的高频风速数据的预乘功率谱来估算。

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  • 来源
    《Building and Environment》 |2019年第6期|185-196|共12页
  • 作者单位

    Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian 710049, Shaanxi, Peoples R China|City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon Tong, Hong Kong, Peoples R China;

    Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian 710049, Shaanxi, Peoples R China|ISBE, Milton Keynes MK7 8HQ, Bucks, England;

    Chinese Acad Sci, Inst Atmospher Phys, Beijing 10029, Peoples R China;

    Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian 710049, Shaanxi, Peoples R China;

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  • 入库时间 2022-08-18 04:22:17

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