Issue
Korean Journal of Chemical Engineering,
Vol.30, No.3, 580-586, 2013
Applications of high-order approximate models for unsteady-state diffusion and reaction in a catalyst
The partial differential equation for unsteady-state diffusion, adsorption and a first-order reaction in a catalyst is often approximated to ordinary differential equations for reduced computational loads. Very high-order models obtained by the continued fraction expansion method are accurate for a wide range of the Thiele modulus and the changing frequency of surface concentration. In addition, they are numerically well-conditioned. However, due to their high dimensionalities, they will not have merits over other low-order models. Here, high-order models based on the continued fraction expansion method are shown to be used to obtain various practical models. With the Taylor series obtained from high-order models, Pade approximations are easily obtained regardless of the Thiele modulus and the shape of catalyst. Low-order models by applying the balanced truncation method to a high-order model can also be obtained, providing better approximations than the well-known Pade models.
[References]
  1. Kim DH, AIChE J., 54(9), 2423, 2008
  2. Dantas TLP, Luna FMT, Silva IJ, de Azevedo DCS, Grande CA, Rodrigues AE, Moreira RFPM, Chem. Eng. J., 169(1-3), 11, 2011
  3. Glueckauf E, Trans. Faraday Soc., 51, 1540, 1998
  4. Lee JT, Kim DH, Chem. Eng. Sci., 53(6), 1209, 1998
  5. Cruz P, Magalhaes FD, Mendes A, Chem. Eng. Sci., 61(11), 3519, 2006
  6. Patton A, Crittenden BD, Perera SP, Chem. Eng. Res. Des., 82(8), 999, 2004
  7. Kim DH, AIChE J., 55(3), 834, 2009
  8. Lee J, Kim DH, Chem. Eng. J., 173(2), 644, 2011
  9. Kim DH, Lee J, Korean J. Chem. Eng., 29(1), 42, 2012
  10. Kreyszig E, Advanced engineering mathematics, Wiley, New York, 1999
  11. Abramowitz M, Stegun IA, Handbook of mathematical functions, Dover Pub., New York, 1972
  12. Chen CF, Shieh LS, IEEE Trans. Circuit Theory., 16, 197, 1969
  13. Lee JT, Edgar TF, Comput. Chem. Eng., 28(4), 479, 2004
  14. Green M, Limebeer DJN, Linear robust control, Prentice-Hall, New Jersey, 1995
  15. MATLAB, The MathWorks, Inc.
  16. Kailath T, Linear Systems, Prentice-Hall, New Jersey, 1980