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23 June 2020 Impact of Large Cooling Tower on Atmospheric Dispersion of Effluent from Coastal Nuclear Power Plant
Xuan Wang, Guoliang Wei, Shaowei Wang, Yang Yang, Fenglei Du, Bo Wang
Author Affiliations +
Abstract

Wang, X.; Wei, G.; Wang, S.; Yang, Y.; Du, F., and Wang, B., 2020. Impact of large cooling tower on atmospheric dispersion of effluent from coastal nuclear power plant. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 474–478. Coconut Creek (Florida), ISSN 0749-0208.

In order to improve the simulation quality of atmospheric dispersion on coastal nuclear power plant, computational fluid dynamics (CFD) method was used to simulate the impact of large cooling tower on the diffusion of gaseous effluent from coastal nuclear power plant. The simulation results show that when the release point is directly in front of the cooling tower, with considering the natural ventilation effect of the cooling tower, the axis concentration of the effluent is significantly reduced by about 1 to 2 orders of magnitude. Compared with different ambient wind speeds, the cooling tower has a more significant effect on the diffusion under low wind speed. For the ground release, atmospheric stability conditions have little effect on the concentration distribution. On this basis, a correction of the Gaussian model for the cooling tower effect is proposed. The atmospheric diffusion parameters in the Gaussian plume model can be given by three distance segments, which are 0-240 m, 240-270 m and above.

©Coastal Education and Research Foundation, Inc. 2020
Xuan Wang, Guoliang Wei, Shaowei Wang, Yang Yang, Fenglei Du, and Bo Wang "Impact of Large Cooling Tower on Atmospheric Dispersion of Effluent from Coastal Nuclear Power Plant," Journal of Coastal Research 103(sp1), 474-478, (23 June 2020). https://doi.org/10.2112/SI103-096.1
Received: 7 December 2019; Accepted: 3 February 2020; Published: 23 June 2020
KEYWORDS
atmospheric diffusion parameter
CFD
Gaussian plume model correction
numerical simulation
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