Controlling the bottom topography of a microalgal pond to optimize productivity - Faculté des Sciences de Sorbonne Université Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Controlling the bottom topography of a microalgal pond to optimize productivity

Résumé

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.
Fichier principal
Vignette du fichier
ACC2021_topography.pdf (970.59 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02970776 , version 1 (19-10-2020)

Identifiants

Citer

Olivier Bernard, Liu-Di Lu, Jacques Sainte-Marie, Julien Salomon. Controlling the bottom topography of a microalgal pond to optimize productivity. ACC 2021 - American Control Conference, IEEE, May 2021, New Orleans, United States. pp.634-639, ⟨10.23919/ACC50511.2021.9483235⟩. ⟨hal-02970776⟩
209 Consultations
67 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More