NDLI: Numerical analysis of pollutant dispersion from the industry stacks: Effects of Schmidt number and wind velocity

Content Provider	IEEE Xplore Digital Library
Author	Dan Mei Futang Xing
Copyright Year	2011
Description	Author affiliation: Hubei Key Laboratory for Efficient Utilization and Agglomeration and Agglomeration of Metallurgic, Mineral Resources, Wuhan University of Science and Technology, Hubei, China (Dan Mei; Futang Xing)
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.
Starting Page	5107
Ending Page	5110
File Size	479132
Page Count	4
File Format	PDF
ISBN	9781424491728
e-ISBN	9781424491711
DOI	10.1109/RSETE.2011.5965463
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	CFD Atmospheric modeling Computational fluid dynamics Wind speed Computational modeling Gaussian model Schmidt number Pollutant dispersion Wind velocity Numerical models Dispersion
Content Type	Text
Resource Type	Article

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