• DocumentCode
    2454178
  • Title

    Numerical simulation and optimization of dust pollution treatment scheme with coal warehouse roof

  • Author

    Sun, Yan ; Ge, Shaocheng ; Jing, Deji

  • Author_Institution
    Coll. of Safety Sci. & Eng., Liaoning Tech. Univ., Fuxin, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    3297
  • Lastpage
    3300
  • Abstract
    Due to restriction of product condition, dust pollution treatment scheme with coal warehouse roof in coal wahery is impossible to be determined after several installation commissioning and testing. In order to choose appropriate dust control scheme, according to numerical simulation method, this paper simulates two kinds of feasible dust control schemes with the fluid calculation software, analyses the two schemes dust control mechanism and their effect, and optimizes the chosen scheme. This paper puts forward a effective dust control scheme with the joint of setting head precipitator in coal warehouse top, setting airtight cover and precipitator inside the warehouse. According to the field application and measurement in ZhunGeer coal washery, the result shows that this method can effectively control dust escaping. It can provide a kind of effective technical implementation method for the on-site construction by determining optimal dust control scheme with numerical simulation method.
  • Keywords
    air pollution; coal; dust; numerical analysis; optimisation; coal warehouse roof; coal washery; dust control; dust pollution treatment; fluid calculation software; numerical simulation; optimization; precipitator; product condition; Belts; Coal; Equations; Materials; Mathematical model; Numerical simulation; Pollution; coal off; coal warehouse; dust; dust removal scheme; numerical simulation;
  • 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.2011.5965017
  • Filename
    5965017