Modeling the Influence of Temperature, Light Intensity and Oxygen Concentration on Microalgal Growth Rate
Résumé
Dissolved oxygen plays a key role in microalgal growth at high density. This effect was so far rarely quantified. Here we propose a new model to represent the combined effect of light, oxygen concentration and temperature (LOT-model) on microalgae growth. The LOT-model introduces
oxygen concentration in order to represent the oxidative stress affecting the cultures, adding a toxicity term in the expression of the net growth rate. The model was validated with experimental data for several species such as Chlorella minutissima, Chlorella vulgaris, Dunaliella salina, Isochrysis galbana. It successfully predicted experimental records with an average error lower than 5.5%. The model was also validated using dynamical data where oxygen concentration varies. It highlights a strong impact of oxygen concentration on productivity, depending on temperature. The model quantifies the sensitivity to oxidative stress of different species and shows, for example, that Dunaliella salina is much less affected than Chlorella vulgaris by oxidative stress. The modeling approach can support an optimization strategy to improve productivity, especially for managing high oxygen levels.
Domaines
Automatique
Fichier principal
2021_Lopez_Temperature_Ligh_O2_Processes.pdf (2.9 Mo)
Télécharger le fichier
2014_Grognard_optim_Contr_Microalgae_Automatica.pdf (593.86 Ko)
Télécharger le fichier
2014_Munoz-Tamayo_OED_JProcessContr.pdf (1.06 Mo)
Télécharger le fichier
2021_Lopez_Temperature_Ligh_O2_Processes (1).pdf (2.9 Mo)
Télécharger le fichier
Biofuels from algae.pdf (10.11 Mo)
Télécharger le fichier
Origine : Publication financée par une institution