Three-phase modeling and optimization of benzene alkylation in commercial catalytic reactors
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Donya Danesh
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Mohammad Reza Rahimpour
Abstract
The main object of this research is heterogenous modeling of benzene alkylation in three phase reactors based on the mass and energy balance equations by coupling the kinetic and equilibrium models and optimization the process conditions to enhance production capacity. In the first step, the alkylation reactors are simulated considering a three-phase model including heat and mass transfer resistances in the solid catalyst, gas and liquid phases. To prove the accuracy of developed model and adopted assumptions, the simulation results are compared with the plant data. Based on the simulation results, the benzene conversion and ethylbenzene selectivity in the alkylation reactors are 15.03 and 94.60% at the conventional condition. In the second step, considering the temperature of inlet streams to the reactors as decision variables, an optimization problem is formulated to maximize the ethylbenzene production rate as the objective function. Based on the simulation results, applying optimal condition on the system improves the ethylbenzene production by 1.33% at the same ethylene conversion compared to the conventional condition.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Cheng, J, Degnan, T, Beck, J, Huang, Y, Kalyanaraman, M, Kowalski, J, et al.. A comparison of zeolites MCM-22, beta, and USY for liquid phase alkylation of benzene with ethylene. Studies in surface science and catalysis. Elsevier 1999;121:53–60. https://doi.org/10.1016/s0167-2991(99)80044-5.Suche in Google Scholar
2. Addiego, WP, Liu, W, Boger, T. Iron oxide-based honeycomb catalysts for the dehydrogenation of ethylbenzene to styrene. Catal Today 2001;69:25–31. https://doi.org/10.1016/s0920-5861(01)00351-0.Suche in Google Scholar
3. Nejad Ebrahimi, A, Zolfaghari Sharak, A, Mousavi, S, Aghazadeh, F. Application of GA in optimization of modified benzene alkylation process. J Petrol Sci Technol 2012;2:43–9. https://doi.org/10.22078/JPST.2012.76.Suche in Google Scholar
4. Degnan, TFJr, Smith, CM, Venkat, CR. Alkylation of aromatics with ethylene and propylene: recent developments in commercial processes. Appl Catal Gen 2001;221:283–94. https://doi.org/10.1016/s0926-860x(01)00807-9.Suche in Google Scholar
5. Chsherbakova, Y, Dolganova, I, Belinskaya, N. Benzene alkylation with ethylene process mathematical modeling. In: 7th International Forum on Strategic Technology (IFOST). Russia: IEEE; 2012.10.1109/IFOST.2012.6357494Suche in Google Scholar
6. Ganji, H, Ahari, JS, Farshi, A, Kakavand, M. Modelling and simulation of benzene alkylation process reactors for production of ethylbenzene. Petrol Coal 2004;46:55–63.Suche in Google Scholar
7. Ebrahimi, AN, Sharak, AZ, Mousavi, SA, Aghazadeh, F, Soltani, A. Modification and optimization of benzene alkylation process for production of ethylbenzene. Chem Eng Process: Process Intensif 2011;50:31–6. https://doi.org/10.1016/j.cep.2010.10.011.Suche in Google Scholar
8. Ng, QH, Sharma, S, Rangaiah, GP. Design and analysis of an ethyl benzene production process using conventional distillation columns and dividing-wall column for multiple objectives. Chem Eng Res Des 2017;118:142–57. https://doi.org/10.1016/j.cherd.2016.10.046.Suche in Google Scholar
9. Soltanalizadeh Maleki, H, Behroozsarand, A, Ghasemzadeh, K. Reactor rearrangement of an industrial ethylbenzene production unit. Gas Process J 2018;6:61–74. https://doi.org/10.22108/GPJ.2019.113339.1042.Suche in Google Scholar
10. Froment, GF, Bischoff, KB, De Wilde, J. Chemical reactor analysis and design. New York: Wiley; 1990.Suche in Google Scholar
11. Holman, JP. Heat transfer. New York: McGraw-Hill; 1986.Suche in Google Scholar
12. Scott Fogler, H. Elements of chemical reaction engineering. Chem Eng Sci 1987;42:2493. https://doi.org/10.1016/0009-2509(87)80130-6.Suche in Google Scholar
13. Al-Kinany, MC, Al-Megren, HA, Al-Ghilan, EA, Edwards, PP, Xiao, T, Al-Shammari, AS, et al.. Selective zeolite catalyst for alkylation of benzene with ethylene to produce ethylbenzene. Appl Petrochem Res 2012;2:73–83. https://doi.org/10.1007/s13203-012-0022-6.Suche in Google Scholar
14. Perry, JH. Chemical engineers’ handbook. New York: McGraw-Hill; 1950.10.1021/ed027p533.1Suche in Google Scholar
15. Reid, RC, Prausnitz, JM, Poling, BE. The properties of gases and liquids. New York: McGraw-Hill; 1987.Suche in Google Scholar
16. Poling, BE, Prausnitz, JM, O’connell, JP. The properties of gases and liquids. New York: McGraw-Hill; 2001.Suche in Google Scholar
17. Wilke, C. Estimation of liquid diffusion coefficients. Chem Eng Prog 1949;45:218–24. https://doi.org/10.1021/ie50546a056.Suche in Google Scholar
18. Fukushima, S, Kusaka, K. Liquid-phase volumetric and mass-transfer coefficient, and boundary of hydrodynamic flow region in packed column with cocurrent downward flow. J Chem Eng Jpn 1977;10:468–74. https://doi.org/10.1252/jcej.10.468.Suche in Google Scholar
19. Cho, JS, Wakao, N. Determination of liquid-side and gas-side volumetric mass transfer coefficients in a bubble column. J Chem Eng Jpn 1988;21:576–81. https://doi.org/10.1252/jcej.21.576.Suche in Google Scholar
20. Specchia, V, Baldi, G. Pressure drop and liquid holdup for two phase concurrent flow in packed beds. Chem Eng Sci 1977;32:515–23. https://doi.org/10.1016/0009-2509(77)87008-5.Suche in Google Scholar
21. Farsi, M, Jahanmiri, A. Methanol production in an optimized dual-membrane fixed-bed reactor. Chem Eng Process: Process Intensif 2011;50:1177–85. https://doi.org/10.1016/j.cep.2011.08.011.Suche in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Three-phase modeling and optimization of benzene alkylation in commercial catalytic reactors
- Control of negative gain nonlinear processes using sliding mode controllers with modified Nelder-Mead tuning equations
- Novel control strategy for non-minimum-phase unstable second order systems: generalised predictor based approach
- Modelling adiabatic flame temperature for methane with an overview for advanced combustion process: flameless combustion
- Evaluation the effect of the ambient temperature on the liquid petroleum gas transportation pipeline
- Performance of molecular dynamics simulation for predicting of solvation free energy of neutral solutes in methanol
- Reviews
- Phase equilibria modeling of biorefinery-related systems: a systematic review
- On the drag force closures for multiphase flow modeling
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Three-phase modeling and optimization of benzene alkylation in commercial catalytic reactors
- Control of negative gain nonlinear processes using sliding mode controllers with modified Nelder-Mead tuning equations
- Novel control strategy for non-minimum-phase unstable second order systems: generalised predictor based approach
- Modelling adiabatic flame temperature for methane with an overview for advanced combustion process: flameless combustion
- Evaluation the effect of the ambient temperature on the liquid petroleum gas transportation pipeline
- Performance of molecular dynamics simulation for predicting of solvation free energy of neutral solutes in methanol
- Reviews
- Phase equilibria modeling of biorefinery-related systems: a systematic review
- On the drag force closures for multiphase flow modeling
