Optimization of entrainer feeding in batch extractive distillation

Laszlo Hegely, Peter Lang

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

The separation of a multicomponent azeotropic industrial waste solvent mixture by batch distillation (BD) and batch extractive distillation (BED) is studied. From a mixture methanol-THF-water-toluene methanol must be recovered in high purity. The optimization of both processes is performed by a genetic algorithm (GA) coupled with a professional flow-sheet simulator performing the dynamic simulation. The optimization variables are the reflux ratios of the operation steps, the location, flow rate and duration of entrainer (water) feeding. The objective function to be maximized is the profit.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages1177-1182
Number of pages6
DOIs
Publication statusPublished - 2014

Publication series

NameComputer Aided Chemical Engineering
Volume33
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. (2014). Optimization of entrainer feeding in batch extractive distillation. In Computer Aided Chemical Engineering (pp. 1177-1182). (Computer Aided Chemical Engineering; Vol. 33). Elsevier B.V.. https://doi.org/10.1016/B978-0-444-63455-9.50031-3