Optimization of Distillation Column Operation by Genetic Algorithm

In this paper, an exergy analysis approach is proposed for optimal design of distillation column by using Genetic algorithm. First, the simulation of a distillation column is performed by using the shortcut results and irreversibility in each tray is obtained. a one target optimization algorithm (SA, Simulated Annealing) is used to maximize recovery in a simple column by six different variables (Feed Condition, Reflux Rate, Number of theoretical stage, Feed Trays (Feed Splitting, three variables)) (OPT1), and during the search for it, try to find a lower irreversibility index. Then, SAoptimization algorithm is used for a complex column with one pump-around and feed splitter to find better results (OPT2). in the end, two targets optimization algorithm (Genetic Algorithm) is used to find the maximum recovery and minimum Irreversibility Index in OPT1 and OPT2 conditions and results compare with SA (one target optimization) results.

Keywords:

Exergy Analysis , Irreversibility Index , Genetic Algorithm , Process Optimization , Distillation Column