English

Controlling the bottom topography of a microalgal pond to optimize productivity

Optimization and Control 2020-11-10 v1

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.

Keywords

Cite

@article{arxiv.2010.09250,
  title  = {Controlling the bottom topography of a microalgal pond to optimize productivity},
  author = {Olivier Bernard and Liudi Lu and Jacques Marie and Julien Salomon},
  journal= {arXiv preprint arXiv:2010.09250},
  year   = {2020}
}