Optimization of simulated moving bed (SMB) chromatography: a multi-level optimization procedure

Sten Bay Jørgensen, Young-il Lim

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper presents a multi-level optimization strategy to obtain optimum operating conditions (four flowrates and cycle time) of nonlinear simulated moving bed chromatography. The multi-level optimization procedure (MLOP) approaches systematically from initialization to optimization with two objective functions (productivity and desorbent consumption), employing the standing wave analysis, the true moving bed (TMB) model and the simulated moving bed (SMB) model. The procedure is constructed on a non-worse solution property advancing level by level and its solution does not mean a global optimum. That is, the lower desorbent consumption under the higher productivity is successively obtained on the basis of the SMB model, as the two SMB-model optimizations are repeated using a standard SQP (successive quadratic programming) algorithm. This approach takes advantage of the TMB model and surmounts shortcomings of the TMB model in the general case of nonlinear adsorption isotherm using the SMB model.
Original languageEnglish
Title of host publicationEuropean Symposium on Computer Aided Process Engineering - 14
PublisherElsevier
Publication date2004
Pages1087-1092
ISBN (Print)0-444-51694-8, 978-0-444-51694-7
DOIs
Publication statusPublished - 2004
Event14th European Symposium on Computer Aided Process Engineering - Lisbon, Portugal
Duration: 16 May 200419 May 2004
Conference number: 14
http://www.deb.uminho.pt/escape14/

Conference

Conference14th European Symposium on Computer Aided Process Engineering
Number14
Country/TerritoryPortugal
CityLisbon
Period16/05/200419/05/2004
Internet address
SeriesComputer Aided Chemical Engineering
NumberC
Volume18
ISSN1570-7946

Keywords

  • Simulated moving bed (SMB) chromatography
  • Simulation
  • Multi-level optimization procedure (MLOP)
  • Productivity
  • Desorbent consumption

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