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dc.contributor.authorYao, C.
dc.contributor.authorTang, S.
dc.contributor.authorYao, Hong
dc.contributor.authorTade, Moses
dc.identifier.citationYao, Chuanyi and Tang, Shaokun and Yao, Hong-Mei and Tade, Moses O. 2013. Continuous prediction technique for fast determination of cyclic steady state in simulated moving bed process. Computers and Chemical Engineering. 58: pp. 298-304.

In the simulation of cyclic processes, such as simulated moving bed (SMB), the system should be equilibrated to reach a cyclic steady state (CSS) before evaluating the process performance. However, the conventional method of successive substitution is quite time-consuming. In this work, a continuous predicting method (CPM) is developed for fast determination of CSS in SMB. In CPM, the direct prediction of state variable at CSS and solving model equation are conducted alternately until CSS is reached. In order to give a guideline for the selection of the acceleration factor, CPM is applied on SMB process for enantio separation of 1,1'-bi-2-naphtol racemate and with the optimized acceleration factor, 59% of computation time saved compared with successive substitution. In addition, this method is further successfully used in a sugar separation process. Given its efficiency and simplicity, this method could provide a useful tool for SMB simulations.

dc.subjectSimulated moving bed
dc.subjectContinuous predicting method
dc.subjectCyclic steady state
dc.subjectAdsorptive separation
dc.titleContinuous prediction technique for fast determination of cyclic steady state in simulated moving bed process
dc.typeJournal Article
dcterms.source.titleComputers and Chemical Engineering

NOTICE: this is the author’s version of a work that was accepted for publication in Computers and Chemical Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Chemical Engineering, Vol. 58 (2013). DOI: 10.1016/j.compchemeng.2013.07.012

curtin.accessStatusOpen access

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