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Numerical simulation and optimization study of the wind flow through a porous fence

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Abstract

Three turbulence closure models (RNG k-ε, SST k-ω and RSM) were used to investigate the flow characteristics around a two-dimensional isolated porous fence. The comparison between the numerical results and the experimental measurements indicated that RSM model shows a better performance than the other two models. The aim of this paper is to accurately and efficiently determine the optimum porosity that attain the best shelter effect of the wind fence in the near wake region (0–4hb) and in the far wake region (4hb–10hb) respectively, where hb is the height of the fence. The gradient algorithm was adopted as the optimization algorithm and the RSM model was used to model turbulent features of the flow. The shelter effect was parameterized by the peak velocity ratio involving velocity and turbulence. The objective was to reduce the peak velocity ratio in the near or far wake region by changing the design variable porosity (ϕ) of the fence, which ranged between 2 and 60%. The results revealed that a porosity of 10.2% was found as the optimum value giving rise to the best shelter effect in the near wake region, and ϕ = 22.1% was determined in the case of the far wake region. In addition, based on the proposed optimization method, it is found that the recirculating bubble behind the fence can only be detected when ϕ < 29.9%.

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Acknowledgements

This study was financially supported by the National Natural Science Foundation of China under Grant No. 51578211, the Natural Science Foundation of Jiangsu Province under Grant No. BK20170880, the China Postdoctoral Science Foundation under Grant No. 2016M591754, and the Fundamental Research Funds for the Central Universities under Grant No. 2015B29514.

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Correspondence to Ye Qiu.

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San, B., Wang, Y. & Qiu, Y. Numerical simulation and optimization study of the wind flow through a porous fence. Environ Fluid Mech 18, 1057–1075 (2018). https://doi.org/10.1007/s10652-018-9580-1

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  • DOI: https://doi.org/10.1007/s10652-018-9580-1

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