Steady-state operability characteristics of idealized reactors

Abstract Operability analysis is one of the bridges that links process design and control. In this paper, we analyze the steady-state operability characteristics of classical reactors (CSTR and PFR) in the framework of Vinson and Georgakis (DYCOPS-5, Fifth IFAC Symposium on Dynamics and Control of Process Systems, 1998, pp. 700–709; J. Proc. Control 10 (2000) 185). Reaction schemes vary from simple first-order A→B to industrially relevant competing reactions. The nonlinear nature of reactors requires the use of special computational techniques for the determination of the operability index (OI). This study clearly brings out the potential of the OI framework. In addition to measuring the servo, regulatory, and overall operability of the systems studied, we were able to identify safe operating regions and tolerable disturbances with the available inputs. This analysis also points to optimized process conditions.

[1]  Christos Georgakis,et al.  A new measure of process output controllability , 1998 .

[2]  B. Wayne Bequette Operability analysis of an exothermic semi-batch reactor , 1996 .

[3]  J. M. Douglas,et al.  The interface between design and control. 1. Process controllability , 1988 .

[4]  Ignacio E. Grossmann,et al.  An index for operational flexibility in chemical process design. Part I , 1983 .

[5]  G. Froment,et al.  Chemical Reactor Analysis and Design , 1979 .

[6]  David Bogle,et al.  Controllability analysis of an industrial polymerization reactor , 1996 .

[7]  B. Wayne Bequette,et al.  Impact of process design on the multiplicity behavior of a jacketed exothermic CSTR , 1995 .

[8]  M. Feinberg,et al.  Optimal reactor design from a geometric viewpoint—I. Universal properties of the attainable region , 1997 .

[9]  Jim Ruppert,et al.  A Delaunay Refinement Algorithm for Quality 2-Dimensional Mesh Generation , 1995, J. Algorithms.

[10]  Ignacio E. Grossmann,et al.  An index for operational flexibility in chemical process design. Part I: Formulation and theory , 1985 .

[11]  Derya Uztürk,et al.  Inherent Dynamic Operability of Processes: General Definitions and Analysis of SISO Cases , 2002 .

[12]  C. Floudas,et al.  Active constraint strategy for flexibility analysis in chemical processes , 1987 .

[13]  M. Luyben,et al.  An industrial design/control study for the vinyl acetate monomer process , 1998 .

[14]  William L. Luyben Trade-offs between design and control in chemical reactor systems , 1993 .

[15]  Thomas F. Fairgrieve,et al.  AUTO 2000 : CONTINUATION AND BIFURCATION SOFTWARE FOR ORDINARY DIFFERENTIAL EQUATIONS (with HomCont) , 1997 .

[16]  Howard P. Isermann,et al.  Operability of chemical reactors : multiplicity behavior of a jacketed styrene polymerization reactor , 1998 .

[17]  J. A. Bandoni,et al.  Effect of disturbances in optimizing control: Steady‐state open‐loop backoff problem , 1996 .

[18]  William L. Luyben,et al.  Plantwide Process Control , 1998 .

[19]  Milan Kubicek,et al.  Algorithm 502: Dependence of Solution of Nonlinear Systems on a Parameter [C5] , 1976, TOMS.

[20]  L. B. Koppel Input multiplicities in nonlinear, multivariable control systems , 1982 .

[21]  Werner C. Rheinboldt,et al.  On the Computation of Simplical Approximations of Implicitly Defined Two-Dimensional Manifolds. , 1994 .

[22]  Manfred Morari,et al.  Design of resilient processing plants—VII. Design of energy management system for unstable reactors—new insights , 1985 .