New MINLP model and modified outer approximation algorithm for distillation column synthesis

Tivadar Farkas, Barbara Czuczai, E. Rév, Z. Lelkés

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

A new, R-graph based, superstructure and corresponding MINLP model for designing conventional distillation columns are presented. A GDP representation (GR) of the superstructure is first constructed, then it is transformed to MINLP representation to which, in turn, additional trivial improvements are added. The new model has been tested on binary mixture examples, and the obtained results are compared to the results of an MINLP model which developed according to the GDP model of Yeomans and Grossmann.9 The new model yields shorter computation time and provides better local optima. Additionally, the new model has been used for optimizing a complex multicomponent separation system consisting of several distillation columns. In order to handle such a complex system with a huge number of nonlinear equations, the outer approximation algorithm is modified to provide good initial values for the NLP subproblems.

Original languageEnglish
Pages (from-to)3088-3103
Number of pages16
JournalIndustrial and Engineering Chemistry Research
Volume47
Issue number9
DOIs
Publication statusPublished - May 7 2008

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Distillation columns
Approximation algorithms
distillation
Gross Domestic Product
Binary mixtures
Nonlinear equations
Large scale systems

ASJC Scopus subject areas

  • Polymers and Plastics
  • Environmental Science(all)
  • Chemical Engineering (miscellaneous)

Cite this

New MINLP model and modified outer approximation algorithm for distillation column synthesis. / Farkas, Tivadar; Czuczai, Barbara; Rév, E.; Lelkés, Z.

In: Industrial and Engineering Chemistry Research, Vol. 47, No. 9, 07.05.2008, p. 3088-3103.

Research output: Contribution to journalArticle

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