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Parameter identification of Droop model: an experimental case study

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Abstract

Mathematical modeling and the development of predictive dynamic models are of paramount importance for the optimization, state estimation, and control of bioprocesses. This study is dedicated to the identification of a simple model of microalgae growth under substrate limitation, i.e., Droop model, and describes the design and instrumentation of a lab-scale flat-plate photobioreactor, the associated on-line and off-line instrumentation, the collection of experimental data, and the parameter identification procedure. In particular, a dedicated methodology for parameter identification is discussed, including the determination of an initial parameter set using an analytical procedure, the selection of a cost function, the evaluation of confidence intervals as well as direct and cross-validation tests.

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Acknowledgments

This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimization), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State, Science Policy Office (BELSPO). The authors are grateful to Olivier Bernard (INRIA-Sofia Antipolis) for providing the microalgal strains.

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Authors and Affiliations

  1. BioSys, University of Mons, Boulevard Dolez 31, 7000, Mons, Belgium

    Micaela Benavides, Anne-Lise Hantson & Alain Vande Wouwer

  2. Department of Chemical Engineering, Catholic University of Leuven, 3001, Leuven, Belgium

    Jan Van Impe

Authors
  1. Micaela Benavides
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  2. Anne-Lise Hantson
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  3. Jan Van Impe
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  4. Alain Vande Wouwer
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Correspondence to Micaela Benavides.

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Benavides, M., Hantson, AL., Van Impe, J. et al. Parameter identification of Droop model: an experimental case study. Bioprocess Biosyst Eng 38, 1783–1793 (2015). https://doi.org/10.1007/s00449-015-1419-2

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  • DOI: https://doi.org/10.1007/s00449-015-1419-2

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