Dynamic modelling of trickle bed reactor: Case study of arabinose oxidation

Mouad Hachhach, Vincenzo Russo, Dmitry Yu Murzin, Tapio Salmi*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
15 Downloads (Pure)

Abstract

Trickle beds are among the most used reactors in different sectors of chemical industries. In this work the aim was to develop a general heterogeneous multiscale model for continuous trickle bed reactors, which enables the calculation of instantaneous concentration and temperature changes as well as the stationary behaviour of the reactor. The model development was based on solving simultaneously both the energy and mass balances for the continuous gas and liquid phases and for the stagnant catalyst particles. Mass transfer coefficients and pressure drop equations from well-established correlations were used. The developed model is aimed to be as general as possible in order to be used as a framework for other kind of bed reactors and arbitrary reaction schemes. The model can be simplified taking into consideration only one or two phases, and in this case it was applied to catalytic sugar oxidation to sugar acid and the effect of catalyst shape and size was investigated. Simulation results revealed that complete sugar conversion was achieved only for small catalyst particles, also the length of the reactor affects the conversion of arabinose more than the residence time or the bed radius: in fact for much bigger particles the conversion can also be achieved for longer reactor beds.

Original languageEnglish
Article number118608
Number of pages12
JournalPowder Technology
Volume425
DOIs
Publication statusPublished - 1 Jul 2023
MoE publication typeA1 Journal article-refereed

Keywords

  • Arabinose oxidation
  • gProms
  • Kinetics
  • Transport phenomena
  • Trickle bed reactors

Fingerprint

Dive into the research topics of 'Dynamic modelling of trickle bed reactor: Case study of arabinose oxidation'. Together they form a unique fingerprint.

Cite this