Artículos de revistas
Off-line Optimization And Control For Real Time Integration Of A Three-phase Hydrogenation Catalytic Reactor
Registro en:
Computers And Chemical Engineering. , v. 29, n. 11-12 SPEC. ISS., p. 2485 - 2493, 2005.
981354
10.1016/j.compchemeng.2005.06.004
2-s2.0-27844434063
Autor
Melo D.N.C.
Vasco De Toledo E.C.
Santos M.M.
Hasan S.D.M.
MacIel M.R.W.
MacIel Filho R.
Institución
Resumen
In order to develop and test the integration procedure, in this paper a real time process integration involving the optimization and control of the process is presented, in this case, with the two-layer approach. The used optimization algorithms were Levenberg-Marquardt and SQP that solve a non-linear least square problem subject to bounds on the variables. The two-layer approach is a hierarchical control structure where an optimization layer calculates the set points and manipulated variables to the advanced controller, which is based on the dynamic matrix control with constraints (QDMC). The non-isothermal dynamic model of the three-phase slurry catalytic reactor with appropriate solution procedure was utilized in this work (Vasco de Toledo, E. C., Santana, P. L., Maciel, M. R. W., & Maciel Filho, R. (2001). Dynamic modeling of a three-phase catalytic slurry reactor. Chemical Engineering Science, 56, 6055-6061). The model consists on mass and heat balance equations for the catalyst particles as well as for the bulk phases of gas and liquid. The model was used to describe the dynamic behavior of hydrogenation reaction of o-cresol to obtain 2-methil-cyclohexanol, in the presence of a catalyst Ni/SiO 2. © 2005 Elsevier Ltd. All rights reserved. 29 11-12 SPEC. ISS. 2485 2493 Bergault, I., Rajashekharam, M.V., Chaudhari, R.V., Schweich, D., Delmas, H., Modeling and comparison of acetophenone hydrogenation in trickle-bed and slurry airlift reactors (1997) Chemical Engineering Science, 52, pp. 4033-4043 Bequette, B.W., Non-linear control of chemical processes: A review (1991) Industrial and Engineering Chemistry Research, 30, pp. 1391-1413 Biegler, L., Grossmann, I.E., Retrospective on optimization (2004) Computers & Chemical Engineering, 28, pp. 1169-1192 Garcia, C.E., Morshedi, A.M., Quadratic programming solution of dynamic matrix control (QDMC) (1986) Chemical Engineering Communications, 46, p. 73 Hichri, H., Armand, A., Andrieu, J., Kinetics and slurry-type reactor modeling during catalytic hydrogenation of o-cresol on Ni/SiO 2 (1991) Chemical Engineering and Processing, 30, pp. 133-140 Mariano, A.P., Vasco De Toledo, E.C., Silva, J.M.F., Wolf-Maciel, M.R., MacIel Filho, R., Development of a software for simulation analysis of the phenomenon of phase change of three-phase catalytic slurry reactor (2004) European Symposium on Computer-Aided Process Engineering, 14 (18), pp. 703-708 Qin, S.J., Badgwell, T.A., An overview of non-linear model predictive control Application (1998) Proceedings of the IFAC Workshop on Non-linear Model Predictive Control: Assessment and Future Directions, , Ascona, Switzerland Seborg, D.E., (1999) Advances in Control, Chapter: A Perspective on Advanced Strategies for Process Control (Revisited), , Springer-Verlag Vasco De Toledo, E.C., MacIel Filho, R., Detailed deterministic dynamic models for computer aided design of multiphase slurry catalytic reactor (2004) European Symposium on Computer-Aided Process Engineering, 14 (18), pp. 823-828 Vasco De Toledo, E.C., Mariano, A.P., Stremel, D.P., MacIel Filho, R., Advanced control of a three-phase slurry catalytic reactor (2004) European Symposium on Computer-Aided Process Engineering, 14 (18) Vasco De Toledo, E.C., Santana, P.L., Wolf-Maciel, M.R., MacIel Filho, R., Dynamic modeling of a three-phase catalytic slurry reactor (2001) Chemical Engineering Science, 56, pp. 6055-6061 Zafiriou, E., Marchal, A., Stability of SISO quadratic dynamic matrix control with hard output constraints (1991) AIChE Journal, 37 (10), pp. 1550-1560