2013
DOI: 10.3182/20131216-3-in-2044.00038
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Feedback linearizing control of light-to-microalgae ratio in artificially lighted photobioreactors

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Cited by 10 publications
(20 citation statements)
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“…The simulation conditions are those given by Table 10 lag phase of the microalgae growth) and then becomes higher than expected at the end of the culture (corresponding to an exponential phase of the microalgae growth). This model of growth rate translates the adaptation of microorganisms at the beginning of the culture (up to 2 days) to the cultivation conditions [14]. In our case, the following specific growth rate was considered:…”
Section: Simulation Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…The simulation conditions are those given by Table 10 lag phase of the microalgae growth) and then becomes higher than expected at the end of the culture (corresponding to an exponential phase of the microalgae growth). This model of growth rate translates the adaptation of microorganisms at the beginning of the culture (up to 2 days) to the cultivation conditions [14]. In our case, the following specific growth rate was considered:…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Recent studies aim at improving the batch culture by optimizing the light supply so that the phenomena of photolimitation and photoinhibition are reduced, [3,8,14,17]. It was concluded that an incremental light supply reduces energy consumption compared to a conventionally operated PBR, for the same cell production.…”
Section: Lumostatic Operating Modementioning
confidence: 99%
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“…In this application, the photobioreactor system is programmed to operate in a constant biomass density mode, to maintain the culture at the optimal population density and to sustain high biomass production levels. An adaptive control approach can be found in [49], while in [50] a feedback linearization over the light-to-biomass concentration control was proposed, introducing this new variable as the manipulated one. Later, in [51] an optimization of biofuel production through ANN modeling was realized.…”
Section: Background On Model-based Control Of Cultures Of Microalgaementioning
confidence: 99%