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Identification in an anaerobic batch system: global sensitivity analysis, multi-start strategy and optimization criterion selection

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Abstract

Several mathematical models have been developed in anaerobic digestion systems and a variety of methods have been used for parameter estimation and model validation. However, structural and parametric identifiability questions are relatively seldom addressed in the reported AD modeling studies. This paper presents a 3-step procedure for the reliable estimation of a set of kinetic and stoichiometric parameters in a simplified model of the anaerobic digestion process. This procedure includes the application of global sensitivity analysis, which allows to evaluate the interaction among the identified parameters, multi-start strategy that gives a picture of the possible local minima and the selection of optimization criteria or cost functions. This procedure is applied to the experimental data collected from a lab-scale sequencing batch reactor. Two kinetic parameters and two stoichiometric coefficients are estimated and their accuracy was also determined. The classical least-squares cost function appears to be the best choice in this case study.

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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. The scientific responsibility rests with its author(s).This study is also supported by a grant from Belspo (Belgian Science Policy) through its Postdoc fellowships to non-EU researchers program.

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Authors and Affiliations

  1. Automatic Control Laboratory, University of Mons, 31 Boulevard Dolez, 7000, Mons, Belgium

    Andres Donoso-Bravo, Johan Mailier & Alain Vande Wouwer

  2. Escuela de Ingeniería Bioquímica, Facultad de Ingeniería, Pontificia Universidad Católica de Valparaíso, General Cruz 34, Valparaíso, Chile

    Gonzalo Ruiz-Filippi

Authors
  1. Andres Donoso-Bravo
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  2. Johan Mailier
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  3. Gonzalo Ruiz-Filippi
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  4. Alain Vande Wouwer
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Correspondence to Andres Donoso-Bravo.

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Donoso-Bravo, A., Mailier, J., Ruiz-Filippi, G. et al. Identification in an anaerobic batch system: global sensitivity analysis, multi-start strategy and optimization criterion selection. Bioprocess Biosyst Eng 36, 35–43 (2013). https://doi.org/10.1007/s00449-012-0758-5

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  • DOI: https://doi.org/10.1007/s00449-012-0758-5

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