• DocumentCode
    1192965
  • Title

    Control of natural gas catalytic partial oxidation for hydrogen generation in fuel cell applications

  • Author

    Pukrushpan, Jay T. ; Stefanopoulou, Anna G. ; Varigonda, Subbarao ; Pedersen, Lars M. ; Ghosh, Shubhro ; Peng, Huei

  • Author_Institution
    Dept. of Mech. Eng., Kasetsart Univ., Bangkok, Thailand
  • Volume
    13
  • Issue
    1
  • fYear
    2005
  • Firstpage
    3
  • Lastpage
    14
  • Abstract
    A fuel processor that reforms natural gas to hydrogen-rich mixture to feed the anode field of fuel cell stack is considered. The first reactor that generates the majority of the hydrogen in the fuel processor is based on catalytic partial oxidation of the methane in the natural gas. We present a model-based control analysis and design for a fuel processing system (FPS) that manages natural gas flow and humidified atmospheric air flow in order to regulate 1) the amount of hydrogen in the fuel cell anode and 2) the temperature of the catalytic partial oxidation reactor during transient power demands from the fuel cell. Linear feedback analysis and design is used to identify the limitation of a decentralized controller and the benefit of a multivariable controller. Further analysis unveils the critical controller cross coupling term that contributes to the superior performance of the multivariable controller.
  • Keywords
    anodes; catalysis; chemical reactors; control system analysis; control system synthesis; decentralised control; feedback; flow control; fuel cells; fuel processing industries; hydrogen economy; identification; multivariable control systems; natural gas technology; oxidation; process control; temperature control; anode field; catalytic partial oxidation reactor; decentralized controller; fuel cell applications; fuel processing system; fuel processor; humidified atmospheric air flow; hydrogen generation; linear feedback analysis; methane; model-based control analysis; multivariable controller; natural gas; transient power demand; Anodes; Atmospheric modeling; Feeds; Fuel cells; Hydrogen; Inductors; Linear feedback control systems; Natural gas; Oxidation; Power system modeling;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2004.833649
  • Filename
    1372542