Dynamic modeling and parameter estimation of biomethane production from microalgae co-digestion

This work proposes a dynamic modeling procedure applied to biomethane production from microalgae residual co-digestion. A two-stage anaerobic digestion representation is selected, considering acidogenesis and methanogenesis as main reaction pathways. Based on the experimental database generated in the University of Mons Laboratories, several candidate models, assuming the presence or absence of biomass dynamics, are suggested, and parametric structural and local identifiability studies are performed. An original parameter estimation procedure is applied to a data-set partition used for model direct validation. The remaining experiment data are dedicated to cross-validation. The results point out how these dynamic models may serve as advanced monitoring software tools such as digital twins, even in the presence of incomplete process data.

Automated summary

This work proposes a dynamic modeling procedure for biomethane production from microalgae residual co-digestion. Several candidate models are generated based on experimental data, and parameter studies and validation are performed. The results indicate that these dynamic models can serve as advanced monitoring software tools.