In this work, the ethanol fuel dehydration process was optimized using the
Aspen Plus? simulator and a multivariate statistical technique based on the
desirability function. The suitability of the ionic liquids
1-methylimidazolium chloride ([Mim][Cl]), 1-ethyl-3-methylimidazolium
chloride ([Emim][Cl]), 1-butyl-3-methylimidazolium chloride ([Bmim][Cl]) and
1-hexyl-3-methylimidazolium chloride ([Hmim][Cl]), as extractive
distillation entrainers, was also evaluated and compared to the conventional
solvents, ethylene glycol and cyclohexane. Among the solvents studied,
[Mim][Cl] required the lowest energy consumption, about 8% less energy use
when compared to the optimized process using ethylene glycol. The
multivariate statistical techniques employed were effective in the
optimization of the extractive distillation processes as the process energy
consumption could be minimized while achieving ethanol purity in agreement
with the current specifications as well as obtaining a high solvent
recovery. With the desirability approach it was possible to improve the
process performance with little or no modification of existing processing
plants.