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Microalgal biomass surface productivity optimization based on a photobioreactor model

Pierre Masci 1 Frédéric Grognard 1 Olivier Bernard 1 
1 COMORE - Modeling and control of renewable resources
LOV - Laboratoire d'océanographie de Villefranche, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In this paper we predict and optimize the biomass surface productivity of microalgae in continuous culture under a constant light source. Surface biomass is identified as a key variable for assessing productivity: we provide both a mathematical and intuitive explanation. For reaching maximal productivities, biomass surface concentration must be such that growth at the culture bottom (assuming a planar geometry orthogonal to the light source) must be equal to respiration. Therefore the optimal biomass concentration depends both on the incident light and culture's depth. We then show how the chlorophyll/carbon ratio must also be carefully controlled to optimize light use in the photobioreactor. Finally, numerical results illustrate our theoretical approach.
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Submitted on : Tuesday, July 23, 2013 - 11:23:10 AM
Last modification on : Friday, February 4, 2022 - 3:09:30 AM



Pierre Masci, Frédéric Grognard, Olivier Bernard. Microalgal biomass surface productivity optimization based on a photobioreactor model. 11th IFAC Symposium on Computer Applications in Biotechnology - CAB, 2010, Leuven, Belgium. pp.180-185, ⟨10.3182/20100707-3-BE-2012.0014⟩. ⟨hal-00847297⟩



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