Hurdles and challenges for modelling and control of microalgae for CO2 mitigation and biofuel production

Olivier Bernard 1
1 BIOCORE - Biological control of artificial ecosystems
LOV - Laboratoire d'océanographie de Villefranche, CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique
Abstract : Oleaginous microalgae are considered to be a potential major biofuel producer in the future since, under conditions of nitrogen deprivation, they are capable of containing high amounts of lipids, while consuming industrial CO2. These photosynthetic microorganisms are, however, rather different from the microorganisms usually used in biotechnology. In particular, predicting the behaviour of microalgal based processes is delicate because of the strong interaction between biology (microalgal development and respiration), and physics (light attenuation and hydrodynamics). This paper reviews existing models, and in particular the Droop model which has been widely used to predict microalgal behaviour under nutrient limitation. It details a model for raceways or planar photobioreactors, when both light and nutrients are limiting. The challenges and hurdles to improve microalgal culture process modelling and control in order to optimise biomass or biofuel production are then discussed.
Type de document :
Article dans une revue
Journal of Process Control, Elsevier, 2011, 21 (10), pp.1378--1389. 〈10.1016/j.jprocont.2011.07.012〉
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https://hal.inria.fr/hal-00848385
Contributeur : Jean-Luc Gouzé <>
Soumis le : vendredi 26 juillet 2013 - 10:29:39
Dernière modification le : mardi 29 mai 2018 - 12:50:54

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Olivier Bernard. Hurdles and challenges for modelling and control of microalgae for CO2 mitigation and biofuel production. Journal of Process Control, Elsevier, 2011, 21 (10), pp.1378--1389. 〈10.1016/j.jprocont.2011.07.012〉. 〈hal-00848385〉

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