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    Continuous prediction technique for fast determination of cyclic steady state in simulated moving bed process

    194211_194211.pdf (559.5Kb)
    Access Status
    Open access
    Authors
    Yao, C.
    Tang, S.
    Yao, Hong
    Tade, Moses
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Yao, 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.
    Source Title
    Computers and Chemical Engineering
    DOI
    10.1016/j.compchemeng.2013.07.012
    ISSN
    00981354
    Remarks

    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

    URI
    http://hdl.handle.net/20.500.11937/8280
    Collection
    • Curtin Research Publications
    Abstract

    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.

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