Nonlinear model reduction of a continuous fluidized bed crystallizer

• Michael Mangold ^[1] ; Lihong Feng ^[1] ; Dmytro Khlopov ^[1] ; Stefan Palis ^[2] ; Peter Benner ^[1] ; Daniel Binev ^[1] ; Andreas Seidel-Morgenstern ^[1]
  1. [1] Max Planck Institute for Dynamics of Complex Technical Systems

     Max Planck Institute for Dynamics of Complex Technical Systems

     Landeshauptstadt Magdeburg, Alemania

     
  2. [2] Otto-von-Guericke University Magdeburg

     Otto-von-Guericke University Magdeburg

     Landeshauptstadt Magdeburg, Alemania

     
• Localización: Journal of computational and applied mathematics, ISSN 0377-0427, Vol. 289, Nº 1 (1 December 2015), 2015, págs. 253-266
• Idioma: inglés
• DOI: 10.1016/j.cam.2015.01.028
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• Resumen

  • This work considers a system of a fluidized bed crystallizer and an ultrasonic attenuator, which separates an enantiomer from a liquid solution. A population balance model of the system shows autonomous oscillations over a wide range of operation conditions. Proper orthogonal decomposition is applied to obtain nonlinear reduced models of low order. An a posteriori error estimator is used to assess the quality of the reduced model during run time.