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Multiscale numerical workflow describing microalgae motion and light pattern incidence towards population growth in a photobioreactor

Abstract : In this article, a numerical workflow describing the microalgal growth inside of a photobioreactor is proposed. CFD is used to compute reactor internal hydrodynamics taking into account marine impeller rotation and sparged bubbles motion. Lagrangian approach is used to track microalgae motion inside of the culture vessel. The illumination across the reactor is obtained using the classical Beer-Lambert's law. The combination of light field and cell motion allows to reconstruct the light history of each microalgae. These histories are then supplied to Han's model which predicts individual growth rate and experienced photodamages. Once computed, several thousands of trajectories are agglomerated at the population level yielding the photobioreactor performances. After having ensured properties convergence, this procedure is applied to a large range of optical density (0 to 4.0), i.e. cell concentration, and incident light intensities (0 to 2 000 µmolPhoton/m 2 /s). From this exploration, it is possible to determine the photobioreactor response surfaces in terms of growth rate and photodamages. These are latter used to propose an optimal lighting strategy for biomass production-reducing photobioreactor operation time by 16 % compared to classical two-step procedure-and assist light induced stress with the aim of triggering secondary metabolites production.
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Submitted on : Wednesday, July 8, 2020 - 4:06:09 PM
Last modification on : Thursday, August 20, 2020 - 1:09:45 PM

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Victor Pozzobon, Patrick Perre. Multiscale numerical workflow describing microalgae motion and light pattern incidence towards population growth in a photobioreactor. Journal of Theoretical Biology, Elsevier, 2020, 498, pp.110293. ⟨10.1016/j.jtbi.2020.110293⟩. ⟨hal-02893909⟩

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