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Received May 7, 2013
Accepted October 26, 2013
- This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Kinetic modeling of hydrocracking reaction in a trickle-bed reactor with Pt/Y-zeolite catalysts
BalSang Lee1
Myung-June Park1 2†
Young-A Kim2
Eun Duck Park1 2
Jeongsik Han3
Kwang-Eun Jeong4
Chul-Ung Kim4
Soon-Yong Jeong4
1Department of Chemical Engineering, Ajou University, Suwon 443-749, Korea 2Department of Energy Systems Research, Ajou University, Suwon 443-749, Korea 3Agency for Defense Development, Daejeon 305-152, Korea 4Green Chemistry Research Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon 305-600, Korea
mjpark@ajou.ac.kr
Korean Journal of Chemical Engineering, March 2014, 31(3), 419-426(8), 10.1007/s11814-013-0226-1
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Abstract
A kinetic model is developed to predict the entire distribution of hydrocarbon products for the hydrocracking reaction with Pt/Y-zeolite catalysts in a trickle-bed reactor. Operating conditions, such as temperature, pressure, and wax and H2 flow rates were varied to evaluate their effects on conversion and distribution, and kinetic parameters were estimated using the experimental data that covers the window of operating conditions. The comparison between experimental data and simulated results corroborated the validity of the developed model, and the quantitative prediction of the reactor performance was clearly demonstrated. To make evident the usefulness of the model, an optimization method, genetic algorithm (GA), was applied, and the optimal condition for the maximum production of C10-C17 was successfully calculated.
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Elizalde I, Rodriguez MA, Ancheyta J, Appl. Catal. A: Gen., 382(2), 205 (2010)
Bouchy C, Hastoy G, Guillon E, Martens JA, Oil Gas Sci. Technol., 64, 91 (2009)
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Klein MT, Hou G, In practical advances in petroleum processing, Ed. by C. S. Hsu, P.R. Robinson, Springer, New York, 187 (2006)
Martinez J, Ancheyta J, Fuel, 100, 193 (2012)
Moghadassi AR, Amini N, Fadavi O, Bahmani M, Pet. Sci. Technol., 29, 2416 (2011)
Pellegrini L, Bonomi S, Gamba S, Calemma V, Molinari D, Chem. Eng. Sci., 62(18-20), 5013 (2007)
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Pellegrini L, Locatelli S, Rasella S, Bonomi S, Calemma V, Chem. Eng. Sci., 59(22-23), 4781 (2004)
Gamba S, Pellegrini LA, Calemma V, Gambaro C, Ind. Eng. Chem. Res., 48(12), 5656 (2009)
Kim YH, Hwang DY, Song SH, Lee SB, Park ED, Park MJ, Korean J. Chem. Eng., 26(6), 1591 (2009)
Gambaro C, Calemma V, Molinari D, Denayer J, AIChE J., 57(3), 711 (2011)
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Lee MR, Park MJ, Jeon W, Choi JW, Suh YW, Suh DJ, Korean J. Chem. Eng., 28(11), 2142 (2011)