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Optimization and Engineering

Erschienen in:

01.06.2015

Deterministic global optimization of binary hybrid distillation/melt-crystallization processes based on relaxed MINLP formulations

verfasst von: Martin Ballerstein, Achim Kienle, Christian Kunde, Dennis Michaels, Robert Weismantel

Erschienen in: Optimization and Engineering | Ausgabe 2/2015

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Abstract

This paper deals with the deterministic global optimization of hybrid distillation/melt-crystallization processes for closely boiling mixtures. An algorithm is presented that exploits the problem specific structure of continuous, counter-current distillation to reduce the domain of the corresponding mixed-integer nonlinear program (MINLP). We apply a bound tightening technique based on the explicit computation of extreme column solution profiles, which enclose all possible solutions of the distillation column model. A relaxed MINLP model formulation is then used to exclude several non-optimal and infeasible column configurations. The numerical performance of the proposed algorithm is demonstrated on a test series of stand-alone distillation column processes and hybrid separation processes.

Vorheriger Artikel The auxiliary iterated extended Kalman particle filter

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Titel: Deterministic global optimization of binary hybrid distillation/melt-crystallization processes based on relaxed MINLP formulations
verfasst von: Martin Ballerstein
Achim Kienle
Christian Kunde
Dennis Michaels
Robert Weismantel
Publikationsdatum: 01.06.2015
Verlag: Springer US
Erschienen in: Optimization and Engineering / Ausgabe 2/2015
Print ISSN: 1389-4420
Elektronische ISSN: 1573-2924
DOI: https://doi.org/10.1007/s11081-014-9267-5

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