Batch time requirements are provided for the separation of ternary heterogeneous azeotropic mixtures into three pure products in closed batch column configurations. The separations are performed in hybrid processes where distillation is combined with decantation for completing the separation task. Two multivessel column configurations, with and without vapour bypass, and a rectifier column, are...

A dynamic model for the simulation of the batch operation of a multicomponent packed distillation column is developed. The accuracy of simulation code is verified by using two types of mixtures (cyclohexane-n-heptane-toluene and ethanol–water) theoretically and experimentally. An optimum internal reflux ratio profile is searched to maximize the distillate amount of a specified concentration for...

Optimal control problems in batch distillation involve finding a trajectory for the reflux ratio so as to maximize a performance index. Then the controller is asked to follow this trajectory in an open loop fashion. It is important to minimize the effect of uncertainties in thermodynamic models on the optimal control profiles to achieve a better operating performance. The non-linear parameter e...

Batch time (energy) requirements are provided for the separation of ternary zeotropic and heteroazeotropic mixtures in three closed batch column configurations. Two multivessel column modifications (with and without vapor bypass) and a conventional batch column operated under the cyclic policy, were studied. The multivessel column performs always better than the conventional column and the time...

Dimethyl amino ethyl azide (DMAZ) is a good replacement for hydrazine group in space programs. This chemical was purified from water (1) + DMAZ (2) mixture in sub-atmospheric distillation column due to thermal sensitivity of DMAZ. For designing of the column, it is necessary to have vapor-liquid equilibrium data. In this article, T-x,y and y-x diagrams were obtain...

Uncertainties may have a large impact on equipment decisions, plant operability, and economic analysis. Thus the consideration of uncertainties in optimization approaches is necessary for robust process design and operation. As a part of it, efficient chance constrained programming has become an important field of research in process systems engineering. In this work, a new approach is proposed...