Dynamics and Predictive Control of Gas Phase Propylene Polymerization in Fluidized Bed Reactors

doi:10.1016/S1004-9541(13)60565-0

Chinese Journal of Chemical Engineering ›› 2013, Vol. 21 ›› Issue (9): 1015-1029.DOI: 10.1016/S1004-9541(13)60565-0

• 过程系统工程与过程安全 • 上一篇下一篇

Dynamics and Predictive Control of Gas Phase Propylene Polymerization in Fluidized Bed Reactors

Ahmad Shamiri^1,2, Mohamed azlan Hussain^1,3, Farouq sabri Mjalli⁴, Navid Mostoufi⁵, Seyedahmad Hajimolana¹

1 Department of Chemical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia;
2 Training Center, Razi Petrochemical Company, Bandar Imam 161, Iran;
3 UM Power Energy Dedicated Advanced Centre (UMPEDAC), University of Malaya, Kuala Lumpur 50603, Malaysia;
4 Petroleum and Chemical Engineering Department, Sultan Qaboos University, Muscat 123, Oman;
5 Process Design and Simulation Research Center, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran 11155/4563, Iran

收稿日期:2012-02-17 修回日期:2013-01-12 出版日期:2013-09-28 发布日期:2013-10-01
通讯作者: Ahmad Shamiri
基金资助:
Supported by the Research Grants of the Research Council of Malaya

Dynamics and Predictive Control of Gas Phase Propylene Polymerization in Fluidized Bed Reactors

Ahmad Shamiri^1,2, Mohamed azlan Hussain^1,3, Farouq sabri Mjalli⁴, Navid Mostoufi⁵, Seyedahmad Hajimolana¹

1 Department of Chemical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia;
2 Training Center, Razi Petrochemical Company, Bandar Imam 161, Iran;
3 UM Power Energy Dedicated Advanced Centre (UMPEDAC), University of Malaya, Kuala Lumpur 50603, Malaysia;
4 Petroleum and Chemical Engineering Department, Sultan Qaboos University, Muscat 123, Oman;
5 Process Design and Simulation Research Center, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran 11155/4563, Iran

Received:2012-02-17 Revised:2013-01-12 Online:2013-09-28 Published:2013-10-01
Contact: Ahmad Shamiri
Supported by:
Supported by the Research Grants of the Research Council of Malaya

摘要/Abstract

摘要： A two-phase dynamic model, describing gas phase propylene polymerization in a fluidized bed reactor, was used to explore the dynamic behavior and process control of the polypropylene production rate and reactor temperature. The open loop analysis revealed the nonlinear behavior of the polypropylene fluidized bed reactor, justifying the use of an advanced control algorithm for efficient control of the process variables. In this case, a centralized model predictive control (MPC) technique was implemented to control the polypropylene production rate and reactor temperature by manipulating the catalyst feed rate and cooling water flow rate respectively. The corresponding MPC controller was able to track changes in the setpoint smoothly for the reactor temperature and production rate while the setpoint tracking of the conventional proportional-integral (PI) controller was oscillatory with overshoots and obvious interaction between the reactor temperature and production rate loops. The MPC was able to produce controller moves which not only were well within the specified input constraints for both control variables, but also non-aggressive and sufficiently smooth for practical implementations. Furthermore, the closed loop dynamic simulations indicated that the speed of rejecting the process disturbances for the MPC controller were also acceptable for both controlled variables.

关键词: model predictive control, fluidized bed reactor, propylene polymerization, Ziegler-Natta catalyst

Abstract: A two-phase dynamic model, describing gas phase propylene polymerization in a fluidized bed reactor, was used to explore the dynamic behavior and process control of the polypropylene production rate and reactor temperature. The open loop analysis revealed the nonlinear behavior of the polypropylene fluidized bed reactor, justifying the use of an advanced control algorithm for efficient control of the process variables. In this case, a centralized model predictive control (MPC) technique was implemented to control the polypropylene production rate and reactor temperature by manipulating the catalyst feed rate and cooling water flow rate respectively. The corresponding MPC controller was able to track changes in the setpoint smoothly for the reactor temperature and production rate while the setpoint tracking of the conventional proportional-integral (PI) controller was oscillatory with overshoots and obvious interaction between the reactor temperature and production rate loops. The MPC was able to produce controller moves which not only were well within the specified input constraints for both control variables, but also non-aggressive and sufficiently smooth for practical implementations. Furthermore, the closed loop dynamic simulations indicated that the speed of rejecting the process disturbances for the MPC controller were also acceptable for both controlled variables.

Key words: model predictive control, fluidized bed reactor, propylene polymerization, Ziegler-Natta catalyst

Ahmad Shamiri, Mohamed azlan Hussain, Farouq sabri Mjalli, Navid Mostoufi, Seyedahmad Hajimolana. Dynamics and Predictive Control of Gas Phase Propylene Polymerization in Fluidized Bed Reactors[J]. Chinese Journal of Chemical Engineering, 2013, 21(9): 1015-1029.

参考文献

1 Choi, K.Y., Ray, W.H., “The dynamic behaviour of fluidized bed reactors for solid catalysed gas phase olefin polymerization”, Chem. Eng. Sci., 40 (12), 2261-2279 (1985).

2 Dadebo, S.A., Bell, M.L., McLellan, P.J., McAuley, K.B., “Temperature control of industrial gas phase polyethylene reactors”, J. Process Contr., 7 (2), 83-95 (1997).

3 Ali, M.A.H., Betlem, B., Weickert, G., Roffel, B. “Non-linear model based control of a propylene polymerization reactor”, Chem. Eng. Process., 46 (6), 554-564 (2007).

4 Ibrehem, A.S., Hussain, M.A., Ghasem, N.M., “Mathematical model and advanced control for gas-phase olefin polymerization in fluidized-bed catalytic reactors”, Chin. J. Chem. Eng., 16 (1), 84-89 (2008).

5 Zheng, Z.W., Shi, D.P., Su, P.L., Luo, Z.H., Li, X.J., ‘‘Steady-state and dynamic modeling of the base multireactor olefin polymerization process’’, Ind. Eng. Chem. Res., 50 (1), 322-331(2011).

6 Luo, Z., Cao, Z., Su, Y., “Monte carlo simulation of propylene polymerization (i) effects of impurity on propylene polymerization”, Chin. J. Chem. Eng., 14 (2), 194-199 (2006).

7 Vahidi, O.S.M., Mirzaei, A., “Control of a fluidized bed polyethylene reactor”, Iran. J. Chem. Chem. Eng., 27 (3), 87-101 (2008).

8 Choi, K.Y., Ray, W.H., “The dynamic behavior of continuous stirred-bed reactors for the solid catalyzed gas phase polymerization of propylene”, Chem. Eng. Sci., 43 (10), 2587-2604 (1988).

9 Ali, E., Al-Humaizi, K., Ajbar, A., “Multivariable control of a simulated industrial gas-phase polyethylene reactor”, Ind. Eng. Chem. Res., 42 (11), 2349-2364 (2003).

10 McAuley, K.B., MacGregor, J.F., “Optimal grade transitions in a gas phase polyethylene reactor”, AIChE J., 38 (10), 1564-1576 (1992).

11 McAuley, K.B., Macgregor, J.F., “Nonlinear product property control in industrial gas-phase polyethylene reactors”, AIChE J., 39 (5), 855-866 (1993).

12 Van Brempt, W., Backx, T., Ludlage, J., Van Overschee, P., De Moor, B., Tousain, R., “A high performance model predictive controller: Application on a polyethylene gas phase reactor”, Control Eng. Pract., 9 (8), 829-835 (2001).

13 Sarvaramini, A., Mostoufi, N., Sotudeh-Gharebagh, R., “Influence of hydrodynamic models on dynamic response of the fluidized bed polyethylene reactor”, Int. J. Chem. React. Eng., 6 (1), 1542-1580 (2008).

14 Seki, H., Ogawa, M., Ooyama, S., Akamatsu, K., Ohshima, M., Yang, W., ‘‘Industrial application of a nonlinear model predictive control to polymerization reactors’’, Control Eng. Pract., 9 (8), 819-828 (2001).

15 Ali, E.M., Abasaeed, A.E., Al-Zahrani, S.M., “Improved regulatory control of industrial gas-phase ethylene polymerization reactors”, Ind. Eng. Chem. Res., 38 (6), 2383-2390 (1999).

16 Ali, E.M., Abasaeed, A.E., Al-Zahrani, S.M., “Optimization and control of industrial gas-phase ethylene polymerization reactors”, Ind. Eng. Chem. Res., 37 (8), 3414-3423 (1998).

17 Ali, E.M., Ali, M.A.H., “Broadening the polyethylene molecular weight distribution by controlling the hydrogen concentration and catalyst feed rates”, ISA T., 49 (1), 177-187 (2010).

18 Hassimi, A., Mostoufi, N., Sotudeh-Gharebagh, R., “Unsteady-state modeling of the fluidized bed polyethylene reactor”, Iran. J. Chem. Eng., 6 (1), 23-39 (2009).

19 Chatzidoukas, C., Perkins, J.D., Pistikopoulos, E.N., Kiparissides, C., “Optimal grade transition and selection of closed-loop controllers in a gas-phase olefin polymerization fluidized bed reactor”, Chem. Eng. Sci., 58 (16), 3643-3658 (2003).

20 Sato, C., Ohtani, T., Nishitani, H., “Modeling, simulation and nonlinear control of a gas-phase polymerization process”, Comput. Chem. Eng., 24 (2-7), 945-951 (2000).

21 Salau, N.P.G., Neumann, G.A., Trierweiler, J.O., Secchi, A.R., “Dynamic behavior and control in an industrial fluidized-bed polymerization reactor”, Ind. Eng. Chem. Res., 47 (16), 6058-6069 (2008).

22 Bolsoni, A., Lima, E.L., Pinto, J.C., “Advanced control of propylene polymerizations in slurry reactors”, Braz. J. Chem. Eng., 17 (4-7), 565-574 (2000).

23 Ghasem, N.M., “Dynamic behavior of industrial gas phase fluidized bed polyethylene reactors under PI control”, Chem. Eng. Technol., 23 (2), 133–145 (2000).

24 Ghasem, N.M., “Design of a fuzzy logic controller for regulating the temperature in industrial polyethylene fluidized bed reactor”, Chem. Eng. Res. Des., 84 (2), 97-106 (2006).

25 Gu, B., Gupta, Y.P., ‘‘Control of nonlinear processes by using linear model predictive control algorithms’’, ISA T., 47 (2), 211-216 (2008).

26 Shamiri, A., Hussain, M.A., Mjalli, F.S., Mostoufi, N., Shafeeyan M.S., “Dynamic modeling of gas phase propylene homopolymerization in fluidized bed reactors”, Chem. Eng. Sci., 66 (6), 1189-1199 (2011).

27 Cui, H., Mostoufi, N., Chaouki, J., “Characterization of dynamic gas-solid distribution in fluidized beds”, Chem. Eng. J., 79 (2), 133-143 (2000).

28 Cui, H., Mostoufi, N., Chaouki, J., “Gas and solids between dynamic bubble and emulsion in gas-fluidized beds”, Powder Technol., 120 (1-2), 12-20 (2001).

29 Shamiri, A., Hussain, M.A., Mjalli, F.S., “Two phase dynamic model for gas phase propylene copolymerization in fluidized bed reactor”, Defect. Diffus. Forum, 312-315, 1079-1084 (2011).

30 Shamiri, A., Hussain, M.A., Mjalli, F.S., Mostoufi, N., “Kinetic modeling of propylene homopolymerization in a gas-phase fluidized-bed reactor”, Chem. Eng. J., 161 (1-2), 240-249 (2010).

31 Kiashemshaki, A., Mostoufi, N., Pourmahdian, S., Sotudeh-Gharebagh, S., “Two phase modeling of a gas phase polyethylene fluidized bed reactor”, Chem. Eng. Sci., 61 (12), 3997-4006 (2006).

32 Lucas, A., Arnaldos, J., Casal, J., Puigjaner, L., “Improved equation for the calculation of minimum fluidization velocity”, Ind. Eng. Chem. Proc. Dev. Des., 25 (2), 426-429 (1986).

33 Kunii, D., Levenspiel, O., Fluidization Engineering, 2nd edition, Boston, MA, Butterworth-Heinmann (1991).

34 Mostoufi, N., Cui, H., Chaouki, J., “A comparison of two- and single-phase models for fluidized-bed reactors”, Ind. Eng. Chem. Res., 40 (23), 5526-5532 (2001).

35 Hilligardt, K., Werther, J., “Local bubble gas hold-up and expansion of gas/solid fluidized beds”, German Chem. Eng., 9 (4), 215-221 (1986).

36 Cai, P., Chen, L., van Egmond, J., Tilston, M., “Some recent advances in fluidized-bed polymerization technology”, Particuology, 8, (6) 578-581 (2010).

37 Shamiri, A., Hussain, M.A., Mjalli, F.S., Mostoufi, N., “Improved single phase modeling of propylene polymerization in a fluidized bed reactor”, Comput. Chem. Eng., 36 (6), 35-47 (2012).

38 McAuley, K.B., MacGregor, J.F., Hamielec, A.E., “A kinetic model for industrial gas-phase ethylene copolymerization”, AIChE J., 36 (6), 837-850 (1990).

39 Luo, Z.H., Su, P.L., Shi, D.P., Zheng, Z.W., “Steady-state and dynamic modeling of commercial bulk polypropylene process of hypol technology”, Chem. Eng. J., 149 (1-3), 370-382 (2009).

40 Floyd, S., Choi, K.Y., Taylor, T.W., Ray, W.H., “Polymerization of olefins through heterogeneous catalysis. III. Polymer particle modelling with an analysis of intraparticle heat and mass transfer effects”, J. Appl. Polym. Sci., 32 (1), 2935-2960 (1986).

41 Mjalli, F.S., Al-Asheh, S., “Neural-networks-based feedback linearization versus model predictive control of continuous alcoholic fermentation process”, Chem. Eng. Technol., 28 (10), 1191-1200 (2005).

42 Seborg, D.E., Edgar, T.F., Mellichamp, D.A., Process Dynamics and Control, 2nd edition, John Wiley & Sons, New Jersey (2004).

43 Shridhar, R., Cooper, D.J., “A tuning strategy for unconstrained SISO model predictive control”, Ind. Eng. Chem. Res., 36 (3), 729-746 (1997).

44 Ziegler, J.G., Nichols, N.B., Rochester, N.Y., “Optimum settings for automatic controllers”, Trans. ASME, 64 (8), 759-768 (1942).

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Dynamics and Predictive Control of Gas Phase Propylene Polymerization in Fluidized Bed Reactors

Dynamics and Predictive Control of Gas Phase Propylene Polymerization in Fluidized Bed Reactors

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