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    Optimal control for micro-algae on a raceway model

    Access Status
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    Authors
    Hurst, T.
    Rehbock, Volker
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Hurst, T. and Rehbock, V. 2018. Optimal control for micro-algae on a raceway model. Biotechnology Progress. 34 (1): pp. 107-119.
    Source Title
    Biotechnology Progress
    DOI
    10.1002/btpr.2532
    ISSN
    8756-7938
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/67857
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 American Institute of Chemical Engineers We apply numerical optimal control methods to an existing algae growth model with the aim to determine the best performance of the model under known conditions using a variety of decision variables. We transform the system of differential algebraic equations in the existing model to a system of ordinary differential equations which introduces dynamics for average light intensity and chlorophyll. In addition, we allow for variable nitrogen concentration of the inflow as well as variable initial nitrogen concentration of the raceway. Our main focus is on optimizing of the production of lipids. We calculate both open and closed loop optimal controllers and test their robustness. Finally, we also consider raceway depth as a decision variable. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 34:107–119, 2018.

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