Can we assess the model complexity for a bioprocess ? Theory and example of the anaerobic digestion process

Olivier Bernard 1 Benoit Chachuat 2, 3 Arnaud Hélias 1 Jorge Rodriguez 4
1 COMORE - Modeling and control of renewable resources
LOV - Laboratoire d'océanographie de Villefranche, CRISAM - Inria Sophia Antipolis - Méditerranée
2 Automatic Control Laboratory [Zurich]
3 DCE-MIT - Department of Chemical Engineering
4 SCE - School of Engineering [Santiago de Compostela]
Abstract : In this paper we propose a methodology to determine the structure of the pseudo-stoichiometric coefficient matrix K in a mass balance based model, i.e. the maximal number of biomasses that must be taken into account to reproduce an available data set. It consists in estimating the number of reactions that must be taken into account to represent the main mass transfer within the bioreactor. This provides the dimension of K. The method is applied to data from an anaerobic digestion process and shows that even a model including a single biomass is sufficient. Then we apply the same method to the “synthetic data” issued from the complex ADM1 model, showing that the main model features can be obtained with 2 biomasses.
Keywords : Anaerobic digestion Bioreactors Modelling Nonlinear systems Data Analysis Principal Component Analysis
Type de document :
Article dans une revue
Water Science and Technology, IWA Publishing, 2005, 53, pp.85-92
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Contributeur : Olivier Bernard <>
Soumis le : mardi 2 janvier 2007 - 16:18:10
Dernière modification le : mercredi 21 mars 2018 - 18:57:24
Document(s) archivé(s) le : mercredi 7 avril 2010 - 01:27:09

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Olivier Bernard, Benoit Chachuat, Arnaud Hélias, Jorge Rodriguez. Can we assess the model complexity for a bioprocess ? Theory and example of the anaerobic digestion process. Water Science and Technology, IWA Publishing, 2005, 53, pp.85-92. 〈inria-00122500〉

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