Development and Optimization of a Single Column Analog Model for a Multi-Column Counter-Current Solvent Gradient Purification Process

Anton Sellberg, Niklas Andersson, Anders Holmqvist, Bernt Nilsson

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

1 Citation (SciVal)

Abstract

This contribution presents a modeling and optimization method for multi-column counter-current purification (MCSGP) processes. The model is based on conventional column models and by using the symmetric and cyclic steady state characteristics of the process a single column analog model was developed. The model have been used for dynamic optimization of the MCSGP process. The optimization was based on a simultaneous method where the control and state variables were discretized using a direct and local collocation method on finite elements in the temporal dimension and a finite volume weighted essentially non-oscillatory (WENO) scheme in the spatial dimension. The resulting nonlinear program (NLP) were solved using an interior point method.

The case study presented shows that the zero-order hold elution trajectories, developed for single column batch operation, can be extended to semi-continuous multi-column chromatography with product recycling. The optimization results is composed of a set of operating conditions where the product was upgraded to 95% purity with 99% process yield.
Original languageEnglish
Title of host publication27th European Symposium on Computer Aided Process Engineering
EditorsAntonio Espuña, Moisès Graells, Luis Puigjaner
Place of PublicationBarcelona
Pages187-192
Number of pages6
Volume40
ISBN (Electronic)9780444639707
DOIs
Publication statusPublished - 2017 Oct 1

Publication series

NameComputer Aided Chemical Engineering
PublisherElsevier
Volume40
ISSN (Print)1570-7946

Subject classification (UKÄ)

  • Chemical Process Engineering

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