论文信息 - Genetic Algorithms in the Design of Configurations for Distillation of Quaternary Mixtures using Less than N-1 columns with Thermally Coupling

Genetic Algorithms in the Design of Configurations for Distillation of Quaternary Mixtures using Less than N-1 columns with Thermally Coupling

Abstract The optimal design of complex distillation systems is a highly non-linear and multivariable problem, with several local optimums and subject to different constraints. In addition, some attri1utes for the design of these separation schemes are often conflicting objectives, and the design problem should be represented from a multi objective perspective. As a result, solving with traditional optimization methods is not reliable because they generally converge to local optimums, and often fail to capture the full Pareto optimal front. In this paper, a method for the multiobjective optimization of distillation systems, conventional and thermally coupled, with less than N-1 columns is presented. In this work is used a multiobjective genetic algorithm with restrictions coupled to AspenONE Aspen Plus; so, the complete MESH equations and rigorous phase equilibrium calculations are considered. Results show some tendencies in the design of intensified sequences, according to the nature of the mixture and feed compositions.

[1] Phillip C. Wankat,et al. Quaternary Distillation Systems with Less than N − 1 Columns , 2004 .

[2] Ilkka Turunen,et al. A method for systematic synthesis of multicomponent distillation systems with less than N-1 columns , 2009 .

[3] Claudia Gutiérrez-Antonio,et al. Pareto front of ideal Petlyuk sequences using a multiobjective genetic algorithm with constraints , 2009, Comput. Chem. Eng..