催化重整过程的多目标优化

• SYSTEM ENGINEERING • 上一篇下一篇

催化重整过程的多目标优化

侯卫锋; 苏宏业; 牟盛静; 褚健

National Laboratory of Industrial Control Technology, Institute of Advanced Process Control, Zhejiang University, Hangzhou 310027, China

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-02-28 发布日期:2007-02-28
通讯作者: 侯卫锋

Multiobjective optimization of the industrial naphtha catalytic reforming process

HOU Weifeng; SU Hongye; MU Shengjing; CHU Jian

National Laboratory of Industrial Control Technology, Institute of Advanced Process Control, Zhejiang University, Hangzhou 310027, China

Received:1900-01-01 Revised:1900-01-01 Online:2007-02-28 Published:2007-02-28
Contact: HOU Weifeng

摘要/Abstract

摘要： In this article, a multiobjective optimization strategy for an industrial naphtha continuous catalytic reforming process that aims to obtain aromatic products is proposed. The process model is based on a 20-lumped kinetics reaction network and has been proved to be quite effective in terms of industrial application. The primary objectives include maximization of yield of the aromatics and minimization of the yield of heavy aromatics. Four reactor inlet tem-peratures, reaction pressure, and hydrogen-to-oil molar ratio are selected as the decision variables. A genetic algorithm, which is proposed by the authors and named as the neighborhood and archived genetic algorithm (NAGA), is applied to solve this multiobjective optimization problem. The relations between each decision variable and the two objectives are also proposed and used for choosing a suitable solution from the obtained Pareto set.

关键词: multiobjective optimization;catalytic reforming;lumped kinetics model;neighborhood and archived genetic algorithm (NAGA)

Abstract: In this article, a multiobjective optimization strategy for an industrial naphtha continuous catalytic reforming process that aims to obtain aromatic products is proposed. The process model is based on a 20-lumped kinetics reaction network and has been proved to be quite effective in terms of industrial application. The primary objectives include maximization of yield of the aromatics and minimization of the yield of heavy aromatics. Four reactor inlet tem-peratures, reaction pressure, and hydrogen-to-oil molar ratio are selected as the decision variables. A genetic algorithm, which is proposed by the authors and named as the neighborhood and archived genetic algorithm (NAGA), is applied to solve this multiobjective optimization problem. The relations between each decision variable and the two objectives are also proposed and used for choosing a suitable solution from the obtained Pareto set.

Key words: multiobjective optimization, catalytic reforming, lumped kinetics model, neighborhood and archived genetic algorithm (NAGA)

侯卫锋, 苏宏业, 牟盛静, 褚健. 催化重整过程的多目标优化[J]. , DOI: .

HOU ,Weifeng, SU ,Hongye, MU ,Shengjing, CHU ,Jian. Multiobjective optimization of the industrial naphtha catalytic reforming process[J]. , DOI: .

参考文献

1    Gao, Y., Shi, L., Yao, P.J., “Waste minimization through process integration and multi-objective optimization,” Chin. J. Chem. Eng., 9(3), 267—272(2001).
2    Mu, S.J., Su, H.Y., Gu, Y., Chu, J., “Multi-objective opti-mization of industrial purified terephthalic acid oxidation process”, Chin. J. Chem. Eng., 11(5), 536—541(2003).
3    Hou, W.F., Su, H.Y., Hu, Y.Y., Chu, J., “Simulation of industrial catalytic reforming process by development user’s module on ASPEN PLUS platform”, J. Chem. Ind. Eng., 56(9), 1714—1720(2005).
4    Li, S.J., Wang, H., Qian, F., “Multi-objective genetic al-gorithm and its applications in chemical engineering”, Comput. Appl. Chem., 20(6), 755—760(2003). (in Chi-nese)
5    Yuen, C.C., Gupta, A., S.K., Ray, A.K., “Multi-objective optimization of membrane separation modules using ge-netic algorithm”, J. Membr. Sci., 176, 177—196(2000).
6    Coello, C.C.A., “A short tutorial on evolutionary mul-tiobjective optimization”, In: Proceedings of the First In-ternational Conference on Evolutionary Multi-criterion Optimization, Zitzler, E., Deb, K., Thiele, L., Coello, C.C.A., Corne, D., Eds., Springer, Zurich, Switzerland, 67—81(2001).
7    Srinivas, N., Deb, K., “Multiobjective optimization using nondominated sorting in genetic algorithms”, Evol. Comput., 2(3), 221—248(1994).
8    Horn, J., Nafpliotis, N., Goldberg, D.E., “A niched Pareto genetic algorithm for multiobjective optimiza- tion”, In: Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, IEEE Press, Piscata- way, New Jersey, 1, 82—87(1994).
9    Knowles, J.D., Corne, D.W., “Approximating the non-dominated front using Pareto archived evolution strat-egy”, Evol. Comput., 8(2), 149—172(2000).
10    Zitzler, E., Thiele, L., “Multiobjective evolutionary algo-rithms: A comparative case study and the strength Pareto approach”, IEEE Trans. Evol. Comput., 3(4), 257—271(1999).
11    Mu, S.J., Su, H.Y., Wang, Y.X., Chu, J., “An efficient evolutionary multi-objective optimization algorithm”, In: Proceedings of the IEEE Congress on Evolutionary Computation, Canberra, 2, 914—920(2003).
12    Mu, S.J., Su, H.Y., Jia, T., Gu, Y., Chu, J., “Scalable multi-objective optimization of industrial purified terephthalic acid (PTA) oxidation process”, Comput. Chem. Eng., 28, 2219—2231(2004).
13    Hou, W.F., Su, H.Y., Hu, Y.Y., Chu, J., “A lumped kinet-ics model and its on-line application to a commercial catalytic naphtha reforming process”, J. Chem. Ind. Eng., 57(7), 1605—1611(2006). (in Chinese)
14    Smith, R.B., “Kinetic analysis of naphtha reforming with platinum catalyst”, Chem. Eng. Progr., 55(6), 76—80(1959).
15    Ramage, M.P., Graziani, K.R., Krambeck, F.J., “Devel-opment of Mobil’s kinetic reforming model”, Chem. Eng. Sci., 35, 41—48(1980).
16    Taskar, U., Riggs, J.B., “Modeling and optimization of a semiregenerative catalytic naphtha reformer”, AIChE J., 43, 740—753(1997).
17    Rahimpour, M.R., Esmaili, S., Bagheri, G.N.A., “Kinetic and deactivation model for industrial catalytic naphtha reforming”, Iranian J. Sci. Tech., Trans. B: Tech., 27,  279—290(2003).
18    Weng, H.X., Jiang, H.B., Chen, J., “Lumped model for catalytic reforming (Ⅱ) Experiment design and kinetic parameter estimation”, J. Chem. Ind. Eng., 45(5), 531—537(1994). (in Chinese)
19    Xie, X.A., Peng, S.H., Liu, T.J., “Establishment and commercial application of kinetics models for catalytic reforming reactions (1) Establishment of physical model”, Petro. Ref. Eng., 25(6), 49—51(1995). (in Chinese)
20    Zhou, Q.H., Hu, S.Y., Li, Y.R., Shen, J.Z., Wei, Z.W., “Molecular modeling and optimization for catalytic re-forming”, Comput. Appl. Chem., 21(3), 447—452(2004). (in Chinese)
21    Hou, W.F., Su, H.Y., Hu, Y.Y., Chu, J., “Modeling, simu-lation and optimization of a whole industrial catalytic naphtha reforming process on Aspen Plus platform”, Chin. J. Chem. Eng., 14(5), 584—591(2006).