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Simulation of spatially distributed intensive biological systems

Abstract

We introduce a new type of bioreactor model that offers a representation of the spatial features of a pilot scale upflow fixed bed reactor. This model couples fluid dynamics and biological activity in order to obtain the internal gradient of substrate and biomass concentrations. We take advantage of reactor geometry to reduce the model to a single spatial dimension in the section containing the fixed bed but in other sections, we consider a 3D model with Navier-Stokes equations for the fluid dynamics. To represent the biological activity, we use a 2 step model and for the substrates, advection-diffusion-reaction equations. We only consider the biomasses that are attached in the fixed bed section and to take into account crowding effects, we model their growth with a density dependent function. We show that this model can reproduce the spatial gradient of experimental data and helps to better understand the internal dynamics of the reactor.
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Dates and versions

hal-02480178 , version 1 (15-02-2020)
hal-02480178 , version 2 (17-02-2020)

Identifiers

Cite

Antoine Haddon, Victor Alcaraz-Gonzalez, Maha Hmissi, Jérôme Harmand, Antoine Rousseau. Simulation of spatially distributed intensive biological systems. ECC 2020 - European Control Conference, May 2020, Sant Petersburg, Russia. pp.575-580, ⟨10.23919/ECC51009.2020.9143773⟩. ⟨hal-02480178v2⟩
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