Estimation of Chlamydomonas reinhardtii Growth in a Torus Photobioreactor - Archive ouverte HAL Access content directly
Conference Papers Year : 2013

Estimation of Chlamydomonas reinhardtii Growth in a Torus Photobioreactor

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Abstract

Microalgae culture is used in various biotechnological applications. Optimisation of the system productivity needs reliable sensors. However, physical sensors for biomass and dissolved dioxide carbon concentrations are expensive and not accurate, especially for online measurements. In this context, robust and efficient software sensors have to be developed. In this paper, an Unscented Kalman filter (UKF) methodology is proposed to estimate components concentrations in a photobioreactor. The microalgae Chlamydomonas reinhardtii is used as model organism. The aim of this paper is to develop an online software estimator that reconstructs the biomass, carbon dioxide and oxygen concentrations in the liquid phase, from online measurements of components molar fraction in the output gas provided by a mass spectrometer. The proposed estimator is validated through experimental data collected on a lab-scale photobioreactor.
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Dates and versions

hal-00878991 , version 1 (31-10-2013)

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Sihem Tebbani, Mariana Titica, Sergiu Caraman, Lionel Boillereaux. Estimation of Chlamydomonas reinhardtii Growth in a Torus Photobioreactor. 12th IFAC Symposium on Computer Applications in Biotechnology, Dec 2013, Mumbai, India. ⟨10.3182/20131216-3-IN-2044.00053⟩. ⟨hal-00878991⟩
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