Parameter estimation in kinetic models of complex heterogeneous catalytic reactions using Bayesian statistics

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2 Citations (Scopus)

Abstract

Kinetic analysis of the gas-phase and liquid phase hydrogenation of toluene to methylcyclohexane on Ni catalysts was performed. For complex reaction mechanisms comprising several kinetically significant steps, nonlinear regression, while giving an adequate description of experimental data, leads to kinetic parameters which are poorly defined. The approach based on Bayesian statistics allows identification of the values of such parameters which are the most statistically probable.
Original languageEnglish
Pages (from-to)1-15
JournalReaction Kinetics, Mechanisms and Catalysis
Volume133
DOIs
Publication statusPublished - 1 Jun 2021
MoE publication typeA1 Journal article-refereed

Keywords

  • Bayesian statistics
  • Hydrogenation
  • Kinetics
  • Parameter estimation

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