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Full Superstructure for Multiobjective Optimization of Multicolumn Chromatography for Ternary Separations
Author(s) -
Agrawal Gaurav,
Kawajiri Yoshiaki
Publication year - 2015
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201500104
Subject(s) - ternary operation , superstructure , throughput , separation (statistics) , component (thermodynamics) , chemistry , chromatographic separation , chromatography , computer science , thermodynamics , high performance liquid chromatography , physics , telecommunications , machine learning , wireless , programming language
In the past decades, many multicolumn chromatographic processes have been proposed and studied for multicomponent continuous separation. In this study, the optimal operation for ternary multicolumn chromatographic separation is obtained from a full superstructure which embeds many different operations. A multiobjective optimization problem was solved to analyze the trade‐off between the throughput and the purity of the target component. It was found that the throughput of the optimal operation found from the full superstructure is significantly higher than that of the generalized full cycle scheme in our former publication in 2012.