Abstract
Abstract The recovery of methanol by batch extractive distillation using water as entrainer from an azeotropic waste solvent mixture (acetone(A)-methanol(B)-THF(C)-water(D)-toluene(E)) is optimised by a genetic algorithm (GA) coupled with a professional flowsheet simulator performing the dynamic simulation. Optimization variables are the reflux ratios of the different operation steps, the location, the flow rate and duration of entrainer (water) feeding. The objective function to be maximized is the profit. The effect of changing the charge concentration of methanol and the two main organic impurities (THF and toluene) on the profit and optimal values of the operational variables was studied.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
