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Optimizing microalgal productivity in raceway ponds through a controlled mixing device

Olivier Bernard 1 Liu-Di Lu 1, 2, 3 Julien Salomon 2, 3
1 BIOCORE - Biological control of artificial ecosystems
CRISAM - Inria Sophia Antipolis - Méditerranée , LOV - Laboratoire d'océanographie de Villefranche, INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
2 ANGE - Numerical Analysis, Geophysics and Ecology
Inria de Paris, LJLL (UMR_7598) - Laboratoire Jacques-Louis Lions
Abstract : We present a coupled model describing growth of microalgae in a raceway cultivation process, accounting for hydrodynamics. Our approach combines a biological model (based on the Han model) and shallow water dynamics equations that model the fluid into the raceway. We then describe an optimization procedure dealing with the topography to maximize the biomass production over one cycle (one lap of the raceway). The results show that non-flat topographies enhance microalgal productivity.
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https://hal.archives-ouvertes.fr/hal-02970756
Contributor : Liu-Di Lu <>
Submitted on : Monday, October 19, 2020 - 7:56:17 AM
Last modification on : Thursday, June 24, 2021 - 2:54:53 PM
Long-term archiving on: : Wednesday, January 20, 2021 - 6:08:47 PM

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  • HAL Id : hal-02970756, version 1
  • ARXIV : 2010.09247

Citation

Olivier Bernard, Liu-Di Lu, Julien Salomon. Optimizing microalgal productivity in raceway ponds through a controlled mixing device. 2020. ⟨hal-02970756⟩

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