DocumentCode :
2463336
Title :
Numerical analysis of pollutant dispersion from the industry stacks: Effects of Schmidt number and wind velocity
Author :
Mei, Dan ; Xing, Futang
Author_Institution :
Hubei Key Lab. for Efficient Utilization & Agglomeration & Agglomeration of Metallurgic, Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
5107
Lastpage :
5110
Abstract :
Based on steady-state Renormalization Group (RNG) k-ε turbulence model, Computational Fluid Dynamics (CFD) simulations of pollutant SO2 dispersion in the neutrally stable atmospheric boundary layer are made with the commercial code CFX for different Schmidt numbers (Sct) and wind velocities. So the results of concentration contours on the ground and sedimentation velocities of SO2 are gained, and then these are compared with the Gaussian model. It is shown that in all cases: SO2 concentration in the heavy polluted area increases with Sct; increase in wind velocity accelerates SO2 dispersion, but the heaviest polluted location does not change with the valve of wind velocity. When Sct=0.7, SO2 concentration distribution from RNG k-ε turbulence model resembles that from the Gaussian model. The comparison however cannot clearly indicate which Sct accords completely with which type of dispersion due to a large number of other factors in the simulations, including turbulence modeling, near-wall treatment limitations, etc.
Keywords :
air pollution control; computational fluid dynamics; flow simulation; numerical analysis; sulphur compounds; turbulence; CFD simulation; Gaussian model; SO2; Schmidt number effect; computational fluid dynamics; numerical analysis; pollutant dispersion; steady-state renormalization group; sulfur dioxide dispersion; turbulence model; wind velocity effect; Atmospheric modeling; Computational fluid dynamics; Computational modeling; Dispersion; Numerical models; Wind speed; CFD; Gaussian model; Pollutant dispersion; Schmidt number; Wind velocity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5965463
Filename :
5965463
Link To Document :
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