Multiobjective Optimization of TAME Production Using Reactive Distillation

فاقد چكيده

In this study, the Multiobjective optimization of a reactive distillation (RD) process with Non-Sorting Genetic Algorithm for the production of tert-amyl methyl ether (TAME) by etherification of isoamylenes with methanol is reported. The reactive distillation is run with an excess of methanol because it is needed for both the reaction and the azeotropic vapor liquid equilibrium (VLE) requirements in the column. Both mathematical modeling of reactive and non-reactive (stripping & rectifying) sections of reactive distillation column were used for the optimization of process for maximizing of TAME purity, methanol recovery and minimizing of energy consumption. The Non-Sorting Genetic Algorithm II was employed for the optimization problem. The adjustable parameters are two feed temperatures, Reflux ratio of column, methanol to C5s (MeOH/C5s) ratio, and feed tray positions. Results show that amylenes feed temperature between 74 0C to 78 0C, methanol feed temperature between 70 0C to 72 0C, and reflux ratio 4.0 are optimum values for industrial TAME production cases.