2009 American Control Conference 2009
DOI: 10.1109/acc.2009.5160260
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Microalgae growth modeling and control for a vertical flat panel photobioreactor

Abstract: Abstract-Microalgae have the potential to produce enough biofuels to meet the current US fuel demands. In order to achieve this potential, photobioreactors (PBRs) need to be developed that are efficient, scalable, and affordable. Models are an analytical tool that can be used to evaluate various PBRs. In this article, a dynamic model is developed for growing microalgae in a vertical flat panel photobioreactor (PBR) that may be used to measure PBR efficiency for various architectures independent of scale. The g… Show more

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Cited by 20 publications
(8 citation statements)
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“…The main strategies for control of biomass concentration developed are feedback control based in spectrophotometer techniques (Meireles et al, 2008;Sandnes et al, 2006), feedforward control based in the inflow rate (Abdollahi and Dubljevic, 2012;Becerra-Celis et al, 2008) or a joint control (feedback and feedforward) using CO 2 gas flow rate accordingly with the light intensity regime (Buehner et al, 2009). …”
Section: Controlmentioning
confidence: 99%
“…The main strategies for control of biomass concentration developed are feedback control based in spectrophotometer techniques (Meireles et al, 2008;Sandnes et al, 2006), feedforward control based in the inflow rate (Abdollahi and Dubljevic, 2012;Becerra-Celis et al, 2008) or a joint control (feedback and feedforward) using CO 2 gas flow rate accordingly with the light intensity regime (Buehner et al, 2009). …”
Section: Controlmentioning
confidence: 99%
“…The studies aiming at controlling microalgal cultures are rare. Turbidostats (using a turbidity regulating algorithm) are often used to grow microalgae (Sandnes et al, 2006;Masci et al, 2008), and pH is generally regulated through CO 2 injection (Berenguel et al, 2004;Buehner et al, 2009), on the basis of standard linear algorithms (Sandnes et al, 2006). The higher complexity induced by a Droop-like model is probably the main reason why this challenging problem has not been further considered, and why nonlinear controllers are scarce (Mailleret et al, 2005).…”
Section: Pbr Monitoring and Controlmentioning
confidence: 99%
“…Due to the observed OURs ( figure VIII.2), and in agreement with literature (Buehner et al, 2009) Nutrient removal from an anaerobic membrane bioreactor effluent using microalgae. Study and modeling of the process…”
Section: Data Fit and Calibrationsupporting
confidence: 76%