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    Multi-scale models for the optimization of batch bioreactors

    188677_69366_adchem2012.pdf (508.3Kb)
    Access Status
    Open access
    Authors
    Liew, Emily
    Nandong, Jobrun
    Samyudia, Yudi
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Liew, E.W.T. and Nandong, J. and Samyudia, Y. 2012. Multi-scale models for the optimization of batch bioreactors, in Proceedings of the 8th IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM), Jul 10-13 2012. Singapore: International Federation of Automatic Control.
    Source Title
    The proceedings of IFAC International Symposium on Advanced Control of Chemical Processes 2012
    Source Conference
    IFAC International Symposium on Advanced Control of Chemical Processes 2012
    ISBN
    978-3-902823-05-2
    URI
    http://hdl.handle.net/20.500.11937/44640
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we propose multi-scale models for a batch bioreactor, which are developed by expanding the so-called Herbert’s Microbial Kinetics (HMK) concept so that the effects of mixing conditions are incorporated via the inclusion of the aeration rate and stirrer speed into the microbial kinetics. By using the multi-scale models, we are able to optimize the batch bioreactor’s performances, i.e. yield and productivity, by adjusting the aeration rate and stirrer speed. Simulation and experimental studies on a batch (fermentation) bioreactor demonstrate the application of this approach, whereby the integration of the expanded HMK model with the Computational Fluid Dynamics (CFD) model of mixing, which we call it as a Kinetics Multi-Scale (KMS) model, is able to predict the experimental values of yield and productivity of the batch fermentation process accurately (with less than 5% errors).

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