• Title of article

    Optimization of an urea decomposition chamber using CFD and VR

  • Author/Authors

    Wu، نويسنده , , Bin and Tang، نويسنده , , Guangwu and Chen، نويسنده , , Xingjian and Zhou، نويسنده , , Chenn Q. and Colella، نويسنده , , Christopher P. and Okosun، نويسنده , , Tyamo، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    11
  • From page
    827
  • To page
    837
  • Abstract
    Selective Catalytic Reduction (SCR) is an important air pollution control process that consists of injecting ammonia (NH3) into the boiler flue gas and passing the flue gas through a catalyst bed where the NOx and NH3 react to form nitrogen gas (N2) and water vapor (H2O). At a coal-fired power station, a decomposition chamber uses combustion air and a natural gas burner to provide the necessary temperature, air flow and pressure to convert the injected urea solution into ammonia gas. Inspections of this decomposition chamber indicate debris formations occurring at the burner/roof prevent the chamber from achieving proper temperature for conversion and redirect the burner flame/flow, which can potentially shift the flow pattern in the chamber. In order to identify the cause of this debris formation, Computational Fluid Dynamics (CFD) and Virtual Reality (VR) have been employed to simulate and visualize the flow distribution and species concentration inside this decomposition chamber. By analyzing the simulation data, excessive ammonia recirculation have been identified as the cause of the debris formation at the top of the chamber. Parametric studies have also been conducted to optimize the existing chamber design by introducing multiple baffles to eliminate the excessive recirculation, thus minimizing debris formation.
  • Keywords
    Selective catalytic reduction (SCR) , Urea decomposition chamber , Urea debris , Ammonia , Flow recirculation , Power station , Baffles , CFD
  • Journal title
    Applied Thermal Engineering
  • Serial Year
    2014
  • Journal title
    Applied Thermal Engineering
  • Record number

    1907747