Design and economic optimization of azeotropic distillation processes using mixed-integer nonlinear programming

Bauer, Markus; Stichlmair, Johann

doi:10.1016/s0098-1354(98)00011-8

Cited by 69 publications

(57 citation statements)

References 18 publications

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“…The model also allowed the possibility of multiple feeds. This model was later incorporated into more comprehensive superstructures which incorporated thermodynamic components [90,139], and thermally coupled distillation columns and dividing wall columns [140].…”

Section: Process Synthesismentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

151

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This work presents a review of the applications of mixed-integer nonlinear programming (MINLP) in process systems engineering (PSE). A review on the main deterministic MINLP solution methods is presented, including an overview of the main MINLP solvers. Generalized disjunctive programming (GDP) is an alternative higher-level representation of MINLP problems. This work reviews some methods for solving GDP models, and techniques for improving MINLP methods through GDP. The paper also provides a high-level review of the applications of MINLP in PSE, particularly in process synthesis, planning and scheduling, process control and molecular computing.

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Section: Process Synthesismentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

151

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“…In all cases, the VLE equations involve the transformation of variables suggested by Bauer and Stichlmair (1998) in order to improve the convergence of the NLP subproblems. This transformation yields more linear equations when modeling the VLE equations.…”

Section: Numerical Examplesmentioning

confidence: 99%

A decomposition method for synthesizing complex column configurations using tray-by-tray GDP models

Barttfeld

Aguirre

Grossmann

2004

Computers & Chemical Engineering

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This paper describes an optimization procedure for the synthesis of complex distillation configurations. A superstructure based on the Reversible Distillation Sequence Model (RDSM) is proposed embedding all possible alternative designs using tray-by-tray models. Generalized Disjunctive Programming (GDP) is used to model the superstructure. Due to the large size and complexity of the formulation, a decomposition solution strategy is proposed where discrete decisions are decomposed into two hierarchical levels within an iterative procedure. In the first level, the column sections are selected yielding a candidate configuration. In the second level, the feed location and the number of trays of the selected sections are optimized. A preprocessing phase including thermodynamic information is considered to provide a good starting point to the algorithm in order to improve the convergence and robustness of the method. Examples are presented for zeotropic and azeotropic multicomponent mixtures to illustrate the performance of the proposed method. Nontrivial configurations are obtained involving modest solution times.

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“…Bauer and Stichlmair (1998) applied the MINLP approach to the synthesis of sequences of azeotropic columns, and Dünnebier and Pantelides (1999) used the model to generate sequences of thermally coupled distillation columns, to name some of them.…”

Section: Introductionmentioning

confidence: 99%

Rigorous Design of Complex Distillation Columns Using Process Simulators and the Particle Swarm Optimization Algorithm

Javaloyes-Antón

Ruiz‐Femenia

Caballero

2013

Ind. Eng. Chem. Res.

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We present a derivative-free optimization algorithm coupled with a chemical process simulator for the optimal design of individual and complex distillation processes using a rigorous tray-by-tray model. The optimal synthesis of complex distillation columns is a non-trivial problem due to the discrete nature of the tray-by-tray column model, and also because of the high degree of non-linearity and non-convexity of the underlying MESH equations

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Design and economic optimization of azeotropic distillation processes using mixed-integer nonlinear programming

Cited by 69 publications

References 18 publications

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

A decomposition method for synthesizing complex column configurations using tray-by-tray GDP models

Rigorous Design of Complex Distillation Columns Using Process Simulators and the Particle Swarm Optimization Algorithm

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