Optimization of entrainer feeding in batch extractive distillation

Laszlo Hegely, P. Láng

Research output: Contribution to journalArticle

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
Pages (from-to)1177-1182
Number of pages6
JournalComputer Aided Chemical Engineering
Volume33
DOIs
Publication statusPublished - 2014

Fingerprint

Distillation
Methanol
Industrial Waste
Water
Industrial wastes
Toluene
Profitability
Simulators
Genetic algorithms
Flow rate
Computer simulation

Keywords

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

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Optimization of entrainer feeding in batch extractive distillation. / Hegely, Laszlo; Láng, P.

In: Computer Aided Chemical Engineering, Vol. 33, 2014, p. 1177-1182.

Research output: Contribution to journalArticle

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