• DocumentCode
    1452431
  • Title

    Mathematical analysis of positive pulsed corona discharge process employed for removal of nitrogen oxides

  • Author

    Mok, Young Sun ; Ham, Sung Won ; Nam, In-Sik

  • Author_Institution
    Environ. & Energy Res. Div., Res. Inst. of Ind. Sci. & Technol., Pohang, South Korea
  • Volume
    26
  • Issue
    5
  • fYear
    1998
  • fDate
    10/1/1998 12:00:00 AM
  • Firstpage
    1566
  • Lastpage
    1574
  • Abstract
    A mathematical model was proposed to describe the behaviour of the removal of nitrogen oxides (NOx) in a positive pulsed corona discharge reactor. The proposed model takes into account radical production at each pulsing and subsequent radical utilization for NOx removal. The production efficiencies of radicals such as O, OH, H, and N were derived by considering direct electron impact on dissociation of gaseous molecules, followed by excitation transfer reactions of excited oxygen atoms. The production efficiencies of those species were used for the model calculations. The proposed model could adequately predict the experimental data. Of the active species present, the ozone (O3) produced by the reaction of O radical with oxygen was found to play the crucial role in oxidation of NO to NO2 , both theoretically and experimentally
  • Keywords
    corona; electron impact dissociation; free radical reactions; mathematical analysis; nitrogen compounds; plasma applications; plasma chemistry; plasma collision processes; pulsed power technology; H; H radical; N; N radical; NO; NO2; NOx; NOx removal; O; O radical; O2; O3; OH; OH radical; active species; direct electron impact; dissociation; excitation transfer reactions; gaseous molecules; mathematical model; model calculations; oxidation; positive pulsed corona discharge process; positive pulsed corona discharge reactor; production efficiencies; pulsing; radical production; radical utilization; Atomic measurements; Corona; Electrons; Inductors; Mathematical analysis; Mathematical model; Nitrogen; Oxidation; Predictive models; Production;
  • fLanguage
    English
  • Journal_Title
    Plasma Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-3813
  • Type

    jour

  • DOI
    10.1109/27.736063
  • Filename
    736063