Optimization of methanol synthesis reaction on Cu/ZnO/Al 2O 3/ZrO 2 catalyst using genetic algorithm: Maximization of the synergetic effect by the optimal CO 2 fraction

Hye Won Lim, Hye Jin Jun, Myung June Park, Hyo Sik Kim, Jong Wook Bae, Kyoung Su Ha, Ho Jeong Chae, Ki Won Jun

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

A kinetics model that takes the synergetic effect of carbon dioxide fraction on the methanol production rate into account is applied to the development of a mathematical model for the bench-scale reactor. A comparison between the simulation results and the experimental data corroborates the validity of the model. Several optimization strategies are suggested to maximize the methanol yield, among which the utilization of piecewise trajectories for wall temperature along the reactor axis as well as the optimal CO 2 fraction at the inlet of the reactor is found to be the best strategy in the sense of methanol production per unit amount of the feed, in such a way that the optimization strategy considers the variation of the reaction temperature in the reactor and maximizes the synergetic effect on the production rate by the addition of carbon dioxide.

Original languageEnglish
Pages (from-to)1760-1767
Number of pages8
JournalKorean Journal of Chemical Engineering
Volume27
Issue number6
DOIs
StatePublished - 2010
Externally publishedYes

Keywords

  • Bench-scale reactor
  • CO
  • Cu-based catalyst
  • Fraction
  • Mathematical model
  • Methanol
  • Optimization

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