• DocumentCode
    2849252
  • Title

    Optimum Determination of Dust Control Scheme of Coal Warehouse Bottom

  • Author

    Ge Shao-cheng ; Guan Jian ; Shao Liang-shan

  • Author_Institution
    Coll. of Safety Sci. & Eng., Liaoning Tech. Univ., Fuxin, China
  • Volume
    3
  • fYear
    2009
  • fDate
    16-18 Oct. 2009
  • Firstpage
    86
  • Lastpage
    89
  • Abstract
    In order to take effective dust control measures of coal warehouse bottom, it is necessary to chose the optimum dust control scheme. The coal characteristic and dust pollution mechanism of the coal warehouse bottom in Zhun Geer coal Washery have been clarified. Based on the above, three feasible dust control schemes of coal warehouse bottom, namely setting the guide-chute without tail dust cover, setting the guide-chute and dust removal fan without tail dust cover, setting the guide-chute and dust removal fan with tail dust cover, are put forward. Based on the actual spot condition, and by means of the combination of gas-solid two-phase flow theory with numerical simulation, the dust control mechanisms and effects of the three schemes are compared. Finally, the optimum dust control scheme has been chosen, which would provide a theoretic and practical guide for dust control and management of coal washery.
  • Keywords
    air pollution control; dust; mining industry; numerical analysis; production facilities; two-phase flow; Zhun Geer coal washery; coal warehouse bottom; dust control; dust pollution; dust removal fan; gas-solid two phase flow theory; guide chute; numerical simulation; Air pollution; Educational institutions; Energy measurement; Equations; Fluid flow control; Numerical simulation; Pollution measurement; Power engineering and energy; Safety; Tail; Gas-solid two-phase flow; numerical simulation; optimum design; warehouse bottom;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy and Environment Technology, 2009. ICEET '09. International Conference on
  • Conference_Location
    Guilin, Guangxi
  • Print_ISBN
    978-0-7695-3819-8
  • Type

    conf

  • DOI
    10.1109/ICEET.2009.487
  • Filename
    5365274