Reduction of a complex biotechnological process model using state-variable association method-Application to the anaerobic digestion of micro-algae - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Communication Dans Un Congrès Année : 2017

Reduction of a complex biotechnological process model using state-variable association method-Application to the anaerobic digestion of micro-algae

Résumé

This paper deals with the reduction of the ADM1 using the "state-variable association" method, to calibrate a simple model of microalgae anaerobic digestion (the MAD model). In simulation, we show that the behavior of the calibrated MAD model and of the ADM1 are identical. Using experimental data, the calibrated MAD model predicts well the real behavior of the digestion of a substrate composed of Chlorella vulgaris. Our study highlights the effectiveness of the adopted approach to provide, from complex phenomenological models, a reduced one, that can then be used for control and optimization purposes.
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Dates et versions

hal-02737092 , version 1 (02-06-2020)

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Citer

Zeyneb Khedim, Boumediene Benyahia, Francis Mairet, Jean-Philippe Steyer, Jérôme Harmand. Reduction of a complex biotechnological process model using state-variable association method-Application to the anaerobic digestion of micro-algae. 2017 International Conference on Control, Automation and Diagnosis (ICCAD), IEEE, Jan 2017, Hammamet, Tunisia. pp.135-140, ⟨10.1109/CADIAG.2017.8075645⟩. ⟨hal-02737092⟩
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