Fixed bed reactors are among the most important equipment in chemical industries as these are used in chemical processes. An accurate insight into the fluid flow in these reactors is necessary for their modeling. The pressure drop and heat transfer coefficient have been studied for the fixed bed reactor with tube to particle diameter ratio (N) of 4.6 and comprising 130 spherical particles using computational fluid dynamics (CFD). The simulations were carried out in a wide range of Reynolds number: 3.85≤Re≤611.79. The RNG k-ε turbulence model was used in the turbulent regime. The CFD results were compared with empirical correlations in the literature. The predicted pressure drop values in laminar flow were overestimated compared with the Ergun’s [27] correlation and underestimated in the turbulent regime due to the wall friction and the flow channeling in the bed, respectively. It was observed that the CFD results of the pressure drop are in good agreement with the correlations of Zhavoronkov et al. [28] and Reichelt [29]_x000D_ because the wall effects have been taken into account in these correlations. Values of the predicted dimensionless heat transfer coefficient showed better agreement with the Dixon and Labua’s [32] correlation. This is explained by the fact that this correlation is a function of the particle size and shape in the bed.

Fixed Bed Reactor Pressure Drop Heat Transfer Coefficient Computational Fluid Dynamics Turbulence Model

Jakobsen HA, Chemical reactor modeling multiphase reactive flows, Springer-Verlag, Berlin Heidelberg, 954 (2008)
Ranade VV, Computational flow modeling for chemical reactor engineering, Academic Press, New York, 403 (2002)
Joshi JB, Ranade VV, Ind. Eng. Chem. Res., 42(6), 1115 (2003)
Carman PC, Trans. Inst. Chem. Eng., 15, 150 (1937)
Coulson JM, Trans. Inst. Chem. Eng., 27, 237 (1949)
Eisfeld B, Schnitzlein K, Chem. Eng. Sci., 56(14), 4321 (2001)
Mehta D, Hawley MC, Ind. Eng. Chem., 8, 280 (1969)
Foumeny EA, Benyahia F, Castro JAA, Moallemi HA, Roshani S, Int. J. Heat Mass Transfer., 36, 536 (1993)
Nijemeisland M, Dixon AG, AIChE J., 50(5), 906 (2004)
Dalman MT, Merkin JH, McGreavy C, Computers and Fluids., 14, 267 (1986)
Lloyd B, Boehm R, Numer. Heat Trans. A., 26, 237 (1994)
Derkx OR, Dixon AG, Numer. Heat Trans. A., 29, 777 (1996)
Calis HPA, Nijenhuis J, Paikert BC, Dautzenberg FM, van den Bleek CM, Chem. Eng. Sci., 56(4), 1713 (2001)
Nijemeisland M, Dixon AG, Chem. Eng. J., 82(1-3), 231 (2001)
Guardo A, Coussirat M, Larrayoz MA, Recasens F, Egusquiza E, Ind. Eng. Chem. Res., 43(22), 7049 (2004)
Guardo A, Coussirat M, Larrayoz MA, Recasens F, Egusquiza E, Chem. Eng. Sci., 60(6), 1733 (2005)
Gunjal PR, Ranade VV, Chaudhari RV, AIChE J., 51(2), 365 (2005)
Dixon AG, Nijemeisland M, Stitt EH, Ind. Eng. Chem. Res., 44(16), 6342 (2005)
Wen DS, Ding YL, Chem. Eng. Sci., 61(11), 3532 (2006)
Reddy RK, Joshi JB, Chem. Eng. Res. Des., 86(5A), 444 (2008)
Atmakidis T, Kenig EY, Chem. Eng. J., 155(1-2), 404 (2009)
Reddy RK, Joshi JB, Particuology., 8, 37 (2010)
Suekane T, Yokouchi Y, Hirai S, AIChE J., 49(1), 10 (2003)
Dybbs A, Edwards RV, fundamentals of transport phenomena in porous media, Bear J, Corapcioglu M, Eds., Martinus Nijhoff, Dordrecht, 201 (1984)
Dixon AG, Nijemeisland M, Stitt EH, Adv. Chem. Eng., 31, 307 (2006)
ANSYS FLUENT 12.0, User’s Guide, 12.6.2 Modeling Turbulence, ANSYS, Inc. (2009)
Ergun S, Chem. Eng. Prog., 48, 89 (1952)
Zhavoronkov NM, Aerov ME, Umnik NN, J. Phys. Chem., 23, 342 (1949)
Reichelt W, Chem. Ing. Tech., 44, 1068 (1972)
Yagi S, Wakao N, AIChE J., 5, 79 (1959)
Li CH, Finlayson BA, Chem. Eng. Sci., 32, 1055 (1977)
Dixon AG, LaBua LA, Int. J. Heat Mass Transfer., 28, 879 (1985)
Demirel Y, Sharma RN, Al-Ali HH, Int. J. Heat Mass Transf., 43(2), 327 (2000)