Logic hybrid simulation-optimization algorithm for distillation design

In this paper, we propose a novel algorithm for the rigorous design of distillation columns that integrates a process simulator in a generalized disjunctive programming formulation. The optimal distillation column, or column sequence, is obtained by selecting, for each column section, among a set of...

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Veröffentlicht in:Computers & chemical engineering Jg. 72; S. 284 - 299
1. Verfasser: Caballero, J.A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 02.01.2015
Schlagworte:
Algorithms
Approximation
Columns (process)
Computer simulation
Distillation
Generalized disjunctive programming
Logic
Mathematical models
Optimization
Programming
Simulation
Distillation
Generalized disjunctive programming
Simulation
Optimization
ISSN:0098-1354, 1873-4375
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:In this paper, we propose a novel algorithm for the rigorous design of distillation columns that integrates a process simulator in a generalized disjunctive programming formulation. The optimal distillation column, or column sequence, is obtained by selecting, for each column section, among a set of column sections with different number of theoretical trays. The selection of thermodynamic models, properties estimation, etc. is all in the simulation environment. All the numerical issues related to the convergence of distillation columns (or column sections) are also maintained in the simulation environment. The model is formulated as a Generalized Disjunctive Programming (GDP) problem and solved using the logic based outer approximation algorithm without MINLP reformulation. Some examples involving from a single column to thermally coupled sequence or extractive distillation shows the performance of the new algorithm.
Bibliographie:ObjectType-Article-1
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ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2014.03.016