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Enhancement of anaerobic digestion digital twin through aerobic simulation and kinetic optimization for co-digestion scenarios.

作者信息

Moretta Federico, Rizzo Eleonora, Manenti Flavio, Bozzano Giulia

机构信息

Politecnico di Milano, Dipartimento di Chimica, Materiali e Ingegneria Chimica ''Giulio Natta", Center for Sustainable Process Engineering Research (SuPER), Piazza Leonardo da Vinci 32, 20133 Milano, Italy.

Politecnico di Milano, Dipartimento di Chimica, Materiali e Ingegneria Chimica ''Giulio Natta", Center for Sustainable Process Engineering Research (SuPER), Piazza Leonardo da Vinci 32, 20133 Milano, Italy.

出版信息

Bioresour Technol. 2021 Dec;341:125845. doi: 10.1016/j.biortech.2021.125845. Epub 2021 Aug 25.

DOI:10.1016/j.biortech.2021.125845
PMID:34467892
Abstract

An upgraded digital twin of the Anaerobic Digestion Model 1 is proposed to enhance its industrial applicability and range of use. Through the optimization and generalization of kinetic coefficients toward co-digestion reactors simulation and insertion of new equations for the complete biokinetics modeling of HS, the proposed model can predict more precisely the exiting biogas fractions comprehensive of HS and O without any parametric adjustment. Moreover, it is proposed a new function representing the oxygen-methanogens. The model has been validated through the comparison with other literature models and with experimental data coming both from the literature and from an industrial plant. The comparisons show its flexibility and industrial applicability. Finally, an optimization of the methane content through oxygen rate adjustment is proposed, increasing CH content of 4%vol. The mathematical model has been built using Python™, which makes it easily spreadable and usable.

摘要

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