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Research Article

Effects of inflow conditions on mountainous/urban wind environment simulation

Chao Li1, Shengtao Zhou1, Yiqing Xiao1( ), Qin Huang1, Lixiao Li2, P.W. Chan3
Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China
College of Civil Engineering, Shenzhen University, Shenzhen, China
Hong Kong Observatory, Kowloon, Hong Kong, China
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Abstract

Inflow conditions play a key role in the Computational Fluid Dynamics (CFD) simulation of wind environment. Taking the micro wind climate of Hong Kong Kowloon Bay costal town as a research object, two kinds of widely used inflow condition determination methods are adopted to test their performances. One is to fit the velocity profile into the empirical (logarithmic/exponential) law, hereafter referred to as the Fitted Empirical Profile (FEP) method. The other is to interpolate the outflow velocities and turbulence properties from a pre-simulation of the upstream region, hereafter referred to as the Interpolated Multiscale Profile (IMP) method. The GIS data of this mountainous/urban area are digitalized and simplified into the CFD geometry model. Computational treatments for numerical algorithms, domain size, grid systems and boundary conditions are carefully configured according to the published CFD Best Practice Guidelines (BPGs). By validating with one year of real scale wind measurement data from two meteorological stations, it is found that these two inflow conditions lead to considerably different results. Having less consideration for the blockage effects of terrain/buildings, the FEP method tends to predict higher wind speed. As more thermal effects are removed by increasing wind speed thresholds, the results of IMP method demonstrate an incremental agreement with the measurement data. Finally, the validated simulation results are applied to the spatial representativeness assessment of two meteorological stations. Both the point-to-surface consistency indicator and point-centered semivariance are employed. The results show that the meteorological stations show a good representation within a range of 400 m.

Keywords

Computational Fluid Dynamicsurban wind environment simulationinflow conditionFitted Empirical ProfileInterpolated Multiscale Profilespatial representativeness

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Building Simulation
Volume 10 Issue 4,
August 2017
Pages 573-588
DOI: 10.1007/s12273-017-0348-1
Cite this article:
Li C, Zhou S, Xiao Y, et al. Effects of inflow conditions on mountainous/urban wind environment simulation. Building Simulation, 2017, 10(4): 573-588. https://doi.org/10.1007/s12273-017-0348-1

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Received: 08 October 2016
Revised: 06 December 2016
Accepted: 20 December 2016
Published: 13 February 2017
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2017
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