A mathematical reactor model for the prediction of the transient performance
of a methanol-to-olefin fixed bed reactor is applied to simulate the
adopted experimental data. The effect of coking on molecular transport in the
porous structure of SAPO-34 as catalyst has been simulated using percolation
theory. The porous structure of catalyst particles was modeled by using a Bethe
network. Thermal effects of the reaction were considered in the model. The predicted
profiles of concentrations with time-on-stream were in very good agreement
with the experimental data before the steep drop of product concentrations appears
in the reactor effluent. The resulting coke deposition and gas temperature profiles
along the length of reactor suggested a reaction front moving toward the outlet of
the fixed bed reactor operating under the experimental conditions. The predicted
concentration profiles of the main species of the reaction inside catalyst particles
and calculated Thiele modulus proposed that their overall rates are diffusion-controlled.
Simulation results at high space velocities represented a reasonable trend of
temperature and concentrations variation.