• DocumentCode
    2080071
  • Title

    Combustion optimization with inferential sensing

  • Author

    Havlena, Vladimir ; Findejs, Jifi ; Pachner, Daniel

  • Author_Institution
    Honeywell Prague Lab., Honeywell Intl., Prague, Czech Republic
  • Volume
    5
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    3890
  • Abstract
    The paper presents development and implementation of an advanced combustion controller (ACC) for a coal-fired boiler. The solution consists of combustion controller (multi-variable predictive controller) and combustion optimizer (cautious strategy stochastic optimizer). Optimization is based on a model of the CO and NOx emissions. The model is used to calculate the setpoint of the optimal air/fuel ratio(s) maximizing the efficiency of the plant under constraints given by emission limits.
  • Keywords
    air pollution control; boilers; chemical variables control; combustion; multivariable control systems; predictive control; CO; CO emissions; NO; NOx emissions; cautious strategy stochastic optimizer; coal-fired boiler; combustion controller; combustion optimization; combustion optimizer; inferential sensing; multi-variable predictive controller; optimal air/fuel ratio; setpoint; Boilers; Combustion; Flue gases; Fuels; Laboratories; Optimal control; Predictive control; Predictive models; Recursive estimation; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2002. Proceedings of the 2002
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7298-0
  • Type

    conf

  • DOI
    10.1109/ACC.2002.1024536
  • Filename
    1024536
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2080071