Dynamic one-dimensional pseudohomogeneous model for Fischer-Tropsch fixed-bed reactors

Méndez, César I.; Ancheyta, Jorge

doi:10.1016/j.fuel.2019.04.100

Cited by 5 publications

(1 citation statement)

References 37 publications

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“…Li et al 15 used the discrete element method to simulate the packing process of catalyst particles in a fixed-bed reactor. Cesar et al 16 established a 1D quasi-homogeneous fixedbed Fischer-Tropsch reactor kinetic model under nonisothermal conditions. Kiewide et al 17 coupled a 2D homogeneous fixed-bed reactor model with a 1D diffusion model to study the mass transfer and diffusion limitations in the catalyst.…”

Section: Introductionmentioning

confidence: 99%

Simulation of catalytic toluene alkylation with methanol in fixed‐bed reactors

Fan

Wang

et al. 2020

Int J of Chemical Kinetics

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Toluene alkylation with methanol could serve as a green "molecular engineering" to produce para-xylene (PX). However, the conversion and para-selectivity are the key index to the application of this technology. Based on the reaction network and kinetics, the fixed-bed models were introduced to analyze and optimize the para-selectivity at reactor level. After the validation with the experimental results, the analysis of reaction kinetics showed that increasing temperature not only improves the main reaction rate, toluene conversion, and para-selectivity, but also inhibits the competitiveness of methanol autocatalytic reaction, while higher feed molar ratio of toluene to methanol will suppress the olefins formation but reduce the conversion and promote the polymethylation process with a sharper temperature rise. Then, the one-and three-dimensional model demonstrated that the conditions of 500-520 • C, feed molar ratio of 2-3 would be favorable to the para-selectivity, and keeping the wall 20-30 • C above the inlet temperature is beneficial for conversion, selectivity, and temperature control. These results have certain guiding value for the choice of reactor condition and further reactor design.

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Section: Introductionmentioning

confidence: 99%