Optimisation of Batch Extractive Distillation Process with Entrainer Recycle

Laszlo Hegely, P. Láng

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

Two batch extractive distillation (BED) separation of two minimum boiling azeotropic mixtures (acetone − methanol + water as entrainer, isopropyl alcohol − water + DMSO) are simulated and optimized with GA. Production series consist of three consecutive batches. Both off-cuts are recycled to the next charge. The entrainer regenerated is also reused in the next batch. The objective function to be maximized is the profit of the whole production series. The optimization variables are the reflux ratios of all steps (main cuts, intermediate and after-cut), duration of the heating-up and the intermediate cut withdrawal and location and flow rate of entrainer feeding.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages2101-2106
Number of pages6
DOIs
Publication statusPublished - Oct 1 2017

Publication series

NameComputer Aided Chemical Engineering
Volume40
ISSN (Print)1570-7946

    Fingerprint

Keywords

  • batch extractive distillation
  • entrainer recycle
  • genetic algorithm
  • off-cut recycle
  • optimization

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Hegely, L., & Láng, P. (2017). Optimisation of Batch Extractive Distillation Process with Entrainer Recycle. In Computer Aided Chemical Engineering (pp. 2101-2106). (Computer Aided Chemical Engineering; Vol. 40). Elsevier B.V.. https://doi.org/10.1016/B978-0-444-63965-3.50352-4