The Effect of Charge Composition on the Optimal Operational Parameters of a Batch Extractive Distillation Process

Laszlo Hegely, Peter Lang

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

The recovery of methanol by batch extractive distillation using water as entrainer from an azeotropic waste solvent mixture (acetone(A)-methanol(B)-THF(C)-water(D)-toluene(E)) is optimised by a genetic algorithm (GA) coupled with a professional flowsheet simulator performing the dynamic simulation. Optimization variables are the reflux ratios of the different operation steps, the location, the flow rate and duration of entrainer (water) feeding. The objective function to be maximized is the profit. The effect of changing the charge concentration of methanol and the two main organic impurities (THF and toluene) on the profit and optimal values of the operational variables was studied.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages1409-1414
Number of pages6
DOIs
Publication statusPublished - Jan 1 2015

Publication series

NameComputer Aided Chemical Engineering
Volume37
ISSN (Print)1570-7946

Keywords

  • Batch distillation
  • Entrainer
  • Extractive distillation
  • Genetic algorithm
  • Optimization

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

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  • Cite this

    Hegely, L., & Lang, P. (2015). The Effect of Charge Composition on the Optimal Operational Parameters of a Batch Extractive Distillation Process. In Computer Aided Chemical Engineering (pp. 1409-1414). (Computer Aided Chemical Engineering; Vol. 37). Elsevier B.V.. https://doi.org/10.1016/B978-0-444-63577-8.50080-2