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

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.

Analogies between SARS-CoV-2 infection dynamics and batch chemical reactor behavior.

The pandemic infection of SARS-CoV-2 presents analogies with the behavior of chemical reactors. Susceptible population (A), active infected population (B), recovered cases (C) and deaths (D) can be assumed to be molecules of chemical compounds and their dynamics seem well aligned with those of composition and conversions in chemical syntheses. Thanks to these analogies, it is possible to generate pandemic predictive models based on chemical and physical considerations and regress their kinetic parameters, either globally or locally, to predict the peak time, entity and end of the infection with certain reliability.