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Received February 23, 2010
Accepted April 20, 2010
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Optimization of methanol synthesis reaction on Cu/ZnO/Al2O3/ZrO2 catalyst using genetic algorithm: Maximization of the synergetic effect by the optimal CO2 fraction
Hye-Won Lim
Hye Jin Jun
Myung-June Park†
Hyo-Sik Kim1
Jong Wook Bae1
Kyoung-Su Ha1
Ho-Jeong Chae1
Ki-Won Jun1
Department of Chemical Engineering, Ajou University, Suwon 443-749, Korea 1Petroleum Displacement Technology Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon 305-600, Korea
mjpark@ajou.ac.kr
Korean Journal of Chemical Engineering, November 2010, 27(6), 1760-1767(8), 10.1007/s11814-010-0311-7
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Abstract
A kinetics model that takes the synergetic effect of carbon dioxide fraction on the methanol production rate into account is applied to the development of a mathematical model for the bench-scale reactor. A comparison between the simulation results and the experimental data corroborates the validity of the model. Several optimization strategies are suggested to maximize the methanol yield, among which the utilization of piecewise trajectories for wall temperature along the reactor axis as well as the optimal CO2 fraction at the inlet of the reactor is found to be the best strategy in the sense of methanol production per unit amount of the feed, in such a way that the optimization strategy considers the variation of the reaction temperature in the reactor and maximizes the synergetic effect on the production rate by the addition of carbon dioxide.
Keywords
References
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Klier K, Chatikavanij V, Herman RG, Simmons GW, J. Catal., 74, 343 (1982)
Edwards JF, Schrader GL, J. Phys. Chem., 88, 5624 (1984)
Coteron A, Hayhurst AN, Chem. Eng. Sci., 49(2), 209 (1994)
McNeil MA, Schack CJ, Rinker RG, Appl. Catal., 50, 265 (1989)
Lim HW, Park MJ, Kang SH, Chae HJ, Bae JW, Jun KW, Ind. Eng. Chem. Res., 48(23), 10448 (2009)
Løvik I, Hillestad M, Hertzberg T, Comput. Chem. Eng., 22, S707 (1998)
Kordabadi H, Jahanmiri A, Chem. Eng. J., 108(3), 249 (2005)
Rahimpour MR, Lotfinejad M, Chem. Eng. Technol., 30(8), 1062 (2007)
Rahimpour MR, Behjati HE, Fuel Process. Technol., 90(2), 279 (2009)
Graaf GH, Sijtsema PJJM, Stamhuis EJ, Joosten GEH, Chem. Eng. Sci., 41, 2883 (1986)
Mizsey P, Newson E, Truong TB, Hottinger P, Appl. Catal. A: Gen., 213(2), 233 (2001)
Ng KL, Chadwick D, Toseland BA, Chem. Eng. Sci., 54(15-16), 3587 (1999)
Kordabadi H, Jahanmiri A, Chem. Eng. Process., 46(12), 1299 (2007)
Chae HJ, Choo ST, Choi H, Nam IS, Yang HS, Song SL, Ind. Eng. Chem. Res., 39(5), 1159 (2000)
Chilton TH, Colburn AP, Ind. Eng. Chem., 26, 1183 (1934)
Perry RH, Green DW, Perry’s Chemical Engineers’ Handbook, McGraw-Hill, New York (1997)
Lommerts BJ, Graaf GH, Beenackers AACM, Chem. Eng. Sci., 55(23), 5589 (2000)
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Fuller EN, Schettler PD, Gidding JC, Ind. Eng. Chem., 58, 19 (1966)
Westerterp KR, Van Swaaij WPM, Beenackers AACM, Chemical reactor design and operation, Wiley, Chichester (1987)
Goldberg DE, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading (1989)
