• DocumentCode
    706887
  • Title

    Distributed parameter modeling and identification of an industrial condenser

  • Author

    Bogaerts, Ph ; Vande Wouwer, A. ; Cuvelier, A. ; Hanus, R.

  • Author_Institution
    Univ. Libre de Bruxelles, Brussels, Germany
  • fYear
    1999
  • fDate
    Aug. 31 1999-Sept. 3 1999
  • Firstpage
    3274
  • Lastpage
    3279
  • Abstract
    Although the temperature distribution inside a condenser could in principle be described by a set of partial differential equations (PDEs) for the energy and mass balances of both fluid phases, the resulting distributed parameter model would be difficult to handle in practical applications. In this study, a simplified model of an industrial condenser is derived by assuming that the temperature profile in the condensed phase possesses an a-priori known functional representation. This assumption, which is justified by physical arguments, allows the PDE describing the energy balance of the cooling water to be solved analytically. Based on industrial temperature and flow measurements, an optimization algorithm is used to estimate the numerical values of unknown model parameters, e.g., heat transfer coefficient and characteristics of the condensed phase temperature profile. The resulting model can be used for simulation or fault detection purposes.
  • Keywords
    cooling; distillation equipment; distributed parameter systems; fault diagnosis; flow measurement; optimisation; partial differential equations; PDE; a-priori known functional representation; condensed phase possesses; condensed phase temperature profile; cooling water; distributed parameter modeling; energy balances; fault detection purposes; flow measurements; fluid phases; identification; industrial condenser; industrial temperature; mass balances; optimization algorithm; partial differential equations; temperature distribution; Data models; Fluids; Mathematical model; Numerical models; Temperature; Temperature measurement; Water heating; parameter estimation; partial differential equations; process models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1999 European
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-3-9524173-5-5
  • Type

    conf

  • Filename
    7099832