Mixed logic dynamic optimization applied to batch distillation process design

Abstract:
This paper presents an approach for the optimal configuration and sequencing of complex batch distillation processes. The proposed method is based on formulating a mixed-logic dynamic optimization problem in which some performance index is minimized subject to a disjunctive dynamic model and constraints. The disjunctive model comprises a given set of equipment modules, such as stacks of trays of different size or feed and product vessels, available for the distillation process under consideration along with logical relationships provided through the design context. The optimization subject to this model may yield unconventional design and operational strategies and thus improve the economic efficiency to a significant extent. The proposed method offers a number of favorable properties. In particular, the computational efficiency is improved when compared to mixed-integer dynamic optimization problem solution techniques reported in the literature. The design of a multi-stage batch distillation process serves as an example to illustrate the proposed modeling and solution method.

Keywords:
Mixed-logic, mixed-integer, dynamic optimization, batch distillation, multistage, sequencing, equipment configuration, disjunction.

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