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Dynamics and control of a periodically forced microalgae culture ArchiMer
Martínez, Carlos; Mairet, Francis; Martinon, Pierre; Bernard, Olivier.
Microalgae cultivation with wastewater is a promising way of reducing the energetic needs for wastewater treatment and the costs of biofuel production. However, the very turbid medium is not favorable for the development of microalgae. Indeed, light, the key element for photosynthesis, rapidly vanishes along depth due to absorption and scattering. Therefore it is crucial to understand the effects of the depth on turbid cultures. In this work, we study theoretically the long-term behavior of a continuous culture of microalgae exposed to a periodic source of light. By allowing periodic variations of the depth and the hydraulic retention time, we show that the microalgae population is forced to a periodic regime. Finally, we address numerically the problem of...
Tipo: Text Palavras-chave: Dynamics and control; Industrial biotechnology; Wastewater; Biomass productivity; Microalgae.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00505/61623/65654.pdf
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Getting the most out of it: Optimal experiments for parameter estimation of microalgae growth models ArchiMer
Munoz-tamayo, Rafael; Martinon, Pierre; Bougaran, Gael; Mairet, Francis; Bernard, Olivier.
Mathematical models are expected to play a pivotal role for driving microalgal production towards a profitable process of renewable energy generation. To render models of microalgae growth useful tools for prediction and process optimization, reliable parameters need to be provided. This reliability implies a careful design of experiments that can be exploited for parameter estimation. In this paper, we provide guidelines for the design of experiments with high informative content based on optimal experiment techniques to attain an accurate parameter estimation. We study a real experimental device devoted to evaluate the effect of temperature and light on microalgae growth. On the basis of a mathematical model of the experimental system, the optimal...
Tipo: Text Palavras-chave: Biofuel; Biological processes; Modelling; Parameter identification; Optimal experiment design.
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00191/30252/28684.pdf
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