Ke Shitang, Yu Wenlin, Wang Hao, Zhu Peng, Yu Wei, Du Lingyun. Research on interference effect of super large cooling towers with two tower combinations under complex mountains[J]. Journal of Experiments in Fluid Mechanics, 2018, 32(4): 61-71. DOI: 10.11729/syltlx20180044
Citation: Ke Shitang, Yu Wenlin, Wang Hao, Zhu Peng, Yu Wei, Du Lingyun. Research on interference effect of super large cooling towers with two tower combinations under complex mountains[J]. Journal of Experiments in Fluid Mechanics, 2018, 32(4): 61-71. DOI: 10.11729/syltlx20180044

Research on interference effect of super large cooling towers with two tower combinations under complex mountains

  • Taking a domestic super large cooling tower which is the world's tallest (210m) as an example, the flow field information and pressure distribution patterns of two cooling tower combinations were obtained considering complex mountains (close to the cooling tower, the height of which is close to the cooling tower throat elevation) based on wind tunnel experiments and CFD numerical simulation methods. On this basis, maximum negative pressures, interference factors based on the extremum of the negative wind pressure and mean wind pressures were analyzed, and then the wind-induced interference mechanism between the mountain and the towers were studied under the most unfavorable conditions. Studies show that the distribution rules of interference factors of cooling towers based on the extremum of the negative wind pressure obtained by wind tunnel experiments and CFD numerical simulation methods, respectively, are the same, and the maximum interference factors obtained by the two methods are 8% different. Complex mountains have significant influence on the flow turbulence and wind pressure distribution patterns of cooling towers. Influenced by the "channel effect" between cooling towers and buildings, the interference factor based on the extremum of the negative wind pressure under the worst condition is up to 1.586, significantly greater than the common interference factors without complex mountains.
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