Thermodynamic equilibrium and reaction kinetic study for the steam methane reforming process

Clayton Anesu Mubishi, Peter Olubambi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This study explored the use of thermodynamic equilibrium and reaction kinetics of a well-known process, that is, the production of hydrogen from the steam methane reforming process for preliminary chemical reactor design purposes. This was conducted to determine the reaction kinetic model that is more favorable to the process. The method used consisted of calculating the equilibrium fractions of the species that were present in the system and then calculating the reactants conversions. The kinetic model parameters were input into a simulation package and the results were compared to those determined from equilibrium calculations. It was found that the kinetic model proposed by Xu and Froment out performed that proposed by Oliviera, for various process conditions, that is, operating temperature, pressure and steam to methane ratio.

Original languageEnglish
Title of host publication2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages148-154
Number of pages7
ISBN (Electronic)9781538642979
DOIs
Publication statusPublished - 17 Apr 2018
Event9th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2018 - Cape Town, South Africa
Duration: 10 Feb 201813 Feb 2018

Publication series

Name2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2018
Volume2018-January

Conference

Conference9th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2018
Country/TerritorySouth Africa
CityCape Town
Period10/02/1813/02/18

Keywords

  • mathematical modelling
  • reaction kinetics
  • steam methane reforming

ASJC Scopus subject areas

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Ceramics and Composites
  • Metals and Alloys

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