• 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