Mixed-Integer Dynamic Optimization of Conventional and Vapor Recompressed Batch Distillation for Economic and Environmental Objectives

Publication date: Available online 9 December 2019Source: Chemical Engineering Research and DesignAuthor(s): Sidharth Sankar Parhi, Gade Pandu Rangaiah, Amiya K. JanaAbstractIn this contribution, a unique multi-objective mixed-integer dynamic optimization problem considering two conflicting objectives, namely, maximization of amount of product per dollar while minimizing CO2 emission is formulated and solved using the elitist non-dominated genetic algorithm for both conventional batch distillation (CBD) and vapor recompressed batch distillation (VRBD) operating at constant reflux mode. Here, selection of an optimal solution from the Pareto-optimal front is performed by 10 Pareto ranking methods along with entropy weighting. A wide boiling separating system (i.e., acetone and water) is adopted for illustrating the proposed multi-objective optimization of batch distillation. Two separate optimization studies for CBD and VRBD are conducted with the target of either improving an existing plant or setting up a new plant. Results obtained show that most of the popular Pareto ranking methods select same optimal solution for each of these problems. Finally, a comparative analysis is performed to find the benefits of vapor recompression over the conventional scheme.
Source: Chemical Engineering Research and Design - Category: Chemistry Source Type: research