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, advectiondiffusion-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.

Model based optimization of fertilization with treated wastewater reuse

“…It has been shown, for some time now, that relatively simple models can reproduce complex real world systems, albeit with a limited domain of validity (Haddon et al, 2020;Pérémé et al, 2023;Haddon et al, 2023). Similarly, we have found that it is also possible to replicate a simulation of a detailed complex model with a simplified model.…”