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REVIEWING POLLUTANT DISPERSION AROUND BUILDINGS

机译:审查建筑物周围的污染物扩散

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摘要

The purpose of this review is to systematically review On-site measurements, physical scale modeling (wind tunnel and water channel experiments) and different computational fluid dynamics turbulence models (DNS, RANS and LES). On-site measurement is a somewhat dear approach. Regarding to its accuracy, it still could under-predict the roof concentration. Physical scale modeling can be more controllable for airflow and building configurations, but the accuracies of them are still arguable. The accuracies of each turbulence model are different. DNS can provide the most accurate results in finite volume calculations; but it is impractical for simulations due to large computational requirements. LES can over-predict the lateral pollutant concentration in the wake region of the building and requires somewhat larger computational demand and times. Although RANS is the most commonly used model for pollutant dispersion and infection control issues, it over-predicts surface concentrations downwind of the sources.
机译:这篇综述的目的是系统地回顾现场测量,物理尺度建模(风洞和水道实验)以及不同的计算流体动力学湍流模型(DNS,RANS和LES)。现场测量是一种比较昂贵的方法。关于其准确性,它仍然可能会低估屋顶的浓度。对于气流和建筑物配置,物理比例模型可以更容易控制,但是它们的准确性仍然值得商gu。每个湍流模型的精度都不同。 DNS可以在有限的体积计算中提供最准确的结果;但是由于计算量大,在仿真中不切实际。 LES可能会过度预测建筑物尾流区域中的侧向污染物浓度,因此需要更大的计算需求和时间。尽管RANS是解决污染物扩散和感染控制问题的最常用模型,但它高估了源头顺风方向的表面浓度。

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