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Photobioreactor Limnospira indica Growth Model: Application From the MELiSSA Plant Pilot Scale to ISS Flight Experiment

Abstract : Bioregenerative life support systems (BLSS) are the foundation stone to self-sustainable manned space missions. The MELiSSA is a BLSS concept that has evolved through a mechanistic engineering approach designed to acquire both theoretical and technical knowledge on each subsystem independently and, therefore, produces the necessary knowledge and experience needed to co-integrate all the subsystems together with a high level of control. One of the subsystems is a photobioreactor colonized by an axenic culture of the cyanobacterium Limnospira indica PCC8005 for revitalizing the air for the crew. This subsystem was extensively studied, and a mass balanced mechanistic model was developed to describe, predict, and control the photobioreactor. The model was based on a light transfer limitation model coupled to a kinetic model for the cyanobacteria growth through a Linear Thermodynamics of Irreversible Processes (LTIP) approach, including substrate limitation. The model was integrated into several hydrodynamic models adapted to several photobioreactors design and experiments, from a 100 L airlift pilot scale ground photobioreactor to a 50 ml membrane photobioreactor for ISS flight. Through this article we detail the principles of this mechanistic model and their application to different photobioreactor scales for predictive and descriptive simulations.
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https://hal.uca.fr/hal-03464214
Contributor : Christophe Tournayre Connect in order to contact the contributor
Submitted on : Friday, December 3, 2021 - 9:23:38 AM
Last modification on : Tuesday, January 4, 2022 - 6:10:18 AM

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Distributed under a Creative Commons Attribution 4.0 International License

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Laurent Poughon, Catherine Creuly, F Godia, Natalie Leys, Claude-Gilles Dussap. Photobioreactor Limnospira indica Growth Model: Application From the MELiSSA Plant Pilot Scale to ISS Flight Experiment. Frontiers in Astronomy and Space Sciences, Frontiers Media, 2021, 8, pp.128. ⟨10.3389/fspas.2021.700277⟩. ⟨hal-03464214⟩

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