Optimal Enantiomer Crystallization Operation using Ternary Diagram Information
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abstract
2018 Elsevier B.V. We recently developed (Curitiba Marcellos et al., 2017) a model predictive control (MPC) design for batch enantiomer crystallization that determines an optimal temperature profile in a crystallizer during crystallization of a single desired enantiomer from a solution of two enantiomers of a racemic compound forming system in solvent. This article analyzes that MPC design to highlight important features and assumptions of the constraints to generalize the underlying principles of their design.
Marcellos, C., Durand, H., Kwon, J., Barreto, A. G., da Cunha Lage, P. L., de Souza, M. B., Secchi, A. R., & Christofides, P. D.
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Marcellos, Caio Felippe Curitiba||Durand, Helen||Kwon, Joseph Sang-Il||Barreto, Amaro Gomes||da Cunha Lage, Paulo Laranjeira||de Souza, MaurĂcio Bezerra||Secchi, Argimiro Resende||Christofides, Panagiotis D
Book Title
13th International Symposium on Process Systems Engineering (PSE 2018)