The
catalytic ethanol dehydration route is a reality for the production
of polyethylene from renewable sources. Ethanol dehydration process
is performed in the presence of acid catalysts, under temperatures
ranging from 500 K to 800 K, obtaining ethylene selectivity ranging
from 95% to 99% and ethanol conversion of >98%. Despite the favorable
values of conversion and selectivity, catalyst deactivation by coking
is a well-known phenomenon that occurs in this process. This phenomenon
leads to catalyst regeneration cycles, given that the catalyst’s
life cycle is dependent on the process operating conditions. Thus,
obtaining a mathematical model to optimize the ethanol dehydration
process is of great interest to industry, allowing process optimization
and optimal design of reactors. This work presents a phenomenological
model of an ethanol dehydration fixed-bed reactor considering the
catalyst deactivation and several chemical species. The developed
mathematical model for catalyst deactivation considers species present
in the reaction system as coke precursors. The predictive ability
of the model, which has been validated with industrial plant data,
are shown in the results, presenting deviations of <5% in the reactor
temperature profile.