Multiperiod design of azeotropic separation systems II: approximate models

Abstract In this paper, the final in a two part series considering the multiperiod design of azeotropic separation systems, we focus on the development of simplified models for azeotropic distillation design. Several shortcut design techniques from the literature are reviewed and key aspects of a successful model for use in multiperiod azeotropic distillation design are identified. Simplified models for azeotropic design that rely on parameters derived from distillation simulations involving rigorous thermodynamic models are developed. These models, which separately approximate the separation tasks and the design and operating conditions necessary to carry out the tasks, are combined with shortcut costing correlations to arrive at an economic measure for flowsheet designs. Several examples are presented. The models developed in this work are geared towards the agent based solution procedure presented in the first paper of this series and are not intended for single period or detailed design problems.

[1]  Eric S. Fraga,et al.  Nonideal distillation in automated synthesis , 1995 .

[2]  Mark J. Willis,et al.  Steady-state modelling of chemical process systems using genetic programming , 1997 .

[3]  Michael F. Malone,et al.  Structure of Distillation Regions for Multicomponent Azeotropic Mixtures , 1998 .

[4]  Arthur W. Westerberg,et al.  Collocation Methods for Distillation Design. 1. Model Description and Testing , 1996 .

[5]  Arthur W. Westerberg,et al.  Anonymous class in declarative process modeling , 1999 .

[6]  Johann Stichlmair,et al.  Design and economic optimization of azeotropic distillation processes using mixed-integer nonlinear programming , 1998 .

[7]  Arthur W. Westerberg,et al.  Multiperiod design of azeotropic separation systems. I. An agent based solution , 2001 .

[8]  Gerhard Schembecker,et al.  Heuristic-numeric design of separation processes for azeotropic mixtures , 1997 .

[9]  Ernest J. Henley,et al.  Equilibrium-Stage Separation Operations in Chemical Engineering , 1981 .

[10]  James M. Douglas,et al.  Conceptual Design of Chemical Processes , 1988 .

[11]  Wolfgang Marquardt,et al.  Shortcut methods for nonideal multicomponent distillation: 2. Complex columns , 1998 .

[12]  Peter Piela,et al.  An Introduction to the ASCEND Modeling System: Its Language and Interactive Environment , 1993, J. Manag. Inf. Syst..

[13]  R.W.H. Sargent,et al.  A functional approach to process synthesis and its application to distillation systems , 1998 .

[14]  Benjamin Andrew Allan A more reusable modeling system , 1998 .

[15]  J. Stichlmair,et al.  Separation regions and processes of zeotropic and azeotropic ternary distillation , 1992 .

[16]  Manfred Morari,et al.  The Curious Behavior of Homogeneous Azeotropic Distillation-Implications for Entrainer Selection , 1992 .

[17]  A. W. Westerberg,et al.  The product composition regions of single-feed azeotropic distillation columns , 1992 .

[18]  Ignacio E. Grossmann,et al.  Preliminary screening procedure for the MINLP synthesis of process systems—I. aggregation and decomposition techniques , 1994 .

[19]  Arthur W. Westerberg,et al.  Collocation Methods for Distillation Design. 2. Applications for Distillation , 1996 .

[20]  Arthur W. Westerberg,et al.  The product composition regions of azeotropic distillation columns. 2. Separability in two-feed columns and entrainer selection , 1993 .

[21]  A. Westerberg,et al.  Conditional Modeling. 1. Requirements for an Equation-Based Environment , 1999 .

[22]  Arthur W. Westerberg,et al.  Synthesis of Distillation-Based Separation Systems , 1996 .