Modeling and control of a novel heat exchange reactor, the Open Plate Reactor

A new chemical reactor, the Open Plate Reactor, is being developed by Alfa Laval AB. It combines good mixing with high heat transfer capacity into one operation. With the new concept, highly exothermic reactions can be produced using more concentrated reactants. A nonlinear model of the reactor is derived and a control system is developed. For temperature control a cooling system is designed and experimentally verified, which uses a mid-ranging control structure to increase the operating range of the hydraulic equipment. A Model Predictive Controller is proposed to maximize the conversion under hard input and state constraints. An extended Kalman filter is designed to estimate unmeasured concentrations and parameters. Simulations show that the designed control system gives high conversion and ensures that the temperature inside the reactor does not exceed a pre-defined safety limit.

[1]  Astrom.  Computer Controlled Systems , 1990 .

[2]  Sigurd Skogestad,et al.  Dynamic behaviour of integrated plants , 1996 .

[3]  Denis Dochain,et al.  State and parameter estimation in chemical and biochemical processes: a tutorial , 2003 .

[4]  Magnus K. Karlsson,et al.  Reducing moisture transients in the paper-machine drying section with the mid-ranging control technique , 2005 .

[5]  Tore Hägglund.  The Blend station - a new ratio control structure , 2001 .

[6]  Hassan Peerhossaini,et al.  Intensification of batch chemical processes by using integrated chemical reactor-heat exchangers , 1997 .

[7]  A. Wouwer,et al.  Simulation of distributed parameter systems using a matlab-based method of lines toolbox: Chemical engineering applications , 2004 .

[8]  H. S. Fogler,et al.  Elements of Chemical Reaction Engineering , 1986 .

[9]  A. Green,et al.  Process intensification magnifies profits , 1999 .

[10]  Martin Guay,et al.  Characteristics-based model predictive control of distributed parameter systems , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[11]  Bengt Andersson,et al.  Experimental and Numerical Investigations of a Jet Mixing in a Multifunctional Channel Reactor: Passive and Reactive Systems , 2004 .

[12]  William L. Luyben.  Effect of Design and Kinetic Parameters on the Control of Cooled Tubular Reactor Systems , 2001 .

[13]  Prodromos Daoutidis,et al.  Control of hot spots in plug flow reactors , 2002 .

[14]  Denis Dochain,et al.  Optimal temperature control of a steady‐state exothermic plug‐flow reactor , 2000 .

[15]  A. I. Stankiewicz,et al.  Process Intensification: Transforming Chemical Engineering , 2000 .

[16]  M. Otter,et al.  Modelica - A Unified Object-Oriented Language for Physical Systems Modeling - Language Specification , 2000 .

[17]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[18]  Alf Isaksson,et al.  Design and performance of mid-ranging controllers , 1998 .

[19]  Johan Åkesson,et al.  Operator Interaction and Optimization in Control Systems , 2003 .

[20]  P. Atkinson,et al.  Process Control Systems , 1968 .

[21]  Bengt Andersson,et al.  Development of a multi-scale simulation method for design of novel multiphase reactors , 2004 .

[22]  Karl Johan Åström,et al.  PID Controllers: Theory, Design, and Tuning , 1995 .

[23]  Denis Dochain,et al.  Solution of the convection-dispersion-reaction equation by a sequencing method , 2003, Comput. Chem. Eng..

[24]  S. Velut,et al.  Anti-windup in mid-ranging control , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[25]  J. F. Forbes,et al.  Feedback control of hyperbolic distributed parameter systems , 2005 .

[26]  Denis Dochain,et al.  Adaptive extremum seeking control of a non-isothermal tubular reactor with unknown kinetics , 2005, Comput. Chem. Eng..

[27]  Jan M. Maciejowski,et al.  Predictive control : with constraints , 2002 .

[28]  Ilse Smets,et al.  Optimal control of dispersive tubular chemical reactors: Part I , 2005 .