• DocumentCode
    706850
  • Title

    Low-order dynamic models for two coupled distillation columns

  • Author

    Kienle, A. ; Stein, E. ; Rehm, A. ; Kloppenburg, E.

  • Author_Institution
    Max-Planck-Inst. fur Dynamik Komplexer Technischer Syst., Magdeburg, Germany
  • fYear
    1999
  • fDate
    Aug. 31 1999-Sept. 3 1999
  • Firstpage
    3059
  • Lastpage
    3064
  • Abstract
    Nonlinear low-order models are developed for two coupled distillation columns separating a ternary mixture of methanol, ethanol and 1-propanol. The approach is based on well-known spatio temporal pattern formation phenomena in distillation processes also termed as nonlinear wave propagation. In a first step, the energy balance is neglected assuming constant molar flow rates in each column section. Further, constant molar holdups are assumed. In a second step, the wave approach is extended for columns with variable flow rates and constant volumetric holdups. It is shown that these assumptions are more realistic for the process considered here. In both cases the low-order models are in good agreement with the corresponding reference models with constant and variable flow rates, respectively. Further, the reduction of the system order is considerable in both cases.
  • Keywords
    distillation; distillation equipment; reduced order systems; 1-propanol; constant molar flow rates; constant molar holdups; constant volumetric holdups; distillation columns; distillation processes; energy balance; low-order dynamic models; methanol; nonlinear low-order models; nonlinear wave propagation; spatio temporal pattern formation phenomena; variable flow rates; Distillation equipment; Ethanol; Mathematical model; Methanol; Nonlinear wave propagation; Steady-state; Wave functions; Low-order model; constant pattern waves; distillation; nonlinear wave propagation; reduced order model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1999 European
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-3-9524173-5-5
  • Type

    conf

  • Filename
    7099795