2016
DOI: 10.1002/btpr.2244
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Investigation and modeling of the effects of light spectrum and incident angle on the growth of Chlorella vulgaris in photobioreactors

Abstract: An in-depth investigation of how various illumination conditions influence microalgal growth in photobioreactors (PBR) has been presented. Effects of both the light emission spectrum (white and red) and the light incident angle (0° and 60°) on the PBR surface were investigated. The experiments were conducted in two fully controlled lab-scale PBRs, a torus PBR and a thin flat-panel PBR for high cell density culture. The results obtained in the torus PBR were used to build the kinetic growth model of Chlorella v… Show more

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Cited by 40 publications
(72 citation statements)
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References 42 publications
(71 reference statements)
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“…It contains in (g/l): [20]. Nutrient concentrations were adjusted to avoid mineral limitation and guarantee that growth was only light-limited [17].…”
Section: Selected Strainmentioning
confidence: 99%
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“…It contains in (g/l): [20]. Nutrient concentrations were adjusted to avoid mineral limitation and guarantee that growth was only light-limited [17].…”
Section: Selected Strainmentioning
confidence: 99%
“…If necessary, more intense gas bubbling could obviously be applied, so as to increase the gas-liquid mass transfer rate. Because of the accurate control of culture conditions, the torus PBR has been widely used in recent years for in-depth studies and kinetic model setting, including for the optimization of microalgal biomass productivity [17,18] and the investigation of light/dark cycles effect on microalgal growth [22]. Here we extend its use to investigate the effect of C O₂ on microalgal growth.…”
Section: Cultivation Systemmentioning
confidence: 99%
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“…In another study, various illumination conditions with LED lights were evaluated for their influence on C. vulgaris grwoth in PBRs. In this study, the authors develop a model that allows for features affecting PBR productivity (i.e., light spectra and oblique incident angle) to be predicted . The development of accurate predictive models can streamline the scaling‐up process, decreasing the number of variables that would otherwise be evaluated without the model.…”
Section: Large‐scale Cultivation Systems For Microalgae and Cyanobactmentioning
confidence: 99%