Light Spectra and Luminosity Influence on Photosynthetic Hydrogen Production by<i>Rhodobacter Capsulatus</i>

Monroy, Cesar Iñiguez; Zlatev, Roumen; Stoytcheva, Margarita; González, Rosario Esmeralda Rodriguez; Valdez, Benjamín; Gochev, Velizar

doi:10.5504/bbeq.2012.0130

Cited by 6 publications

(3 citation statements)

References 37 publications

(45 reference statements)

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“…Various dynamic models have been developed to simulate different growth phases of microorganisms . Specific to the biohydrogen production process by cyanobacteria, five growth phases have been observed by recent experimental studies , (i) the lag phase, (ii) the primary growth phase, (iii) the secondary growth phase, (iv) the stationary phase, and (v) the decay phase .…”

Section: Process Modeling and Optimizationmentioning

confidence: 99%

“…Various dynamic models have been developed to simulate different growth phases of microorganisms. 25 Specific to the biohydrogen production process by cyanobacteria, five growth phases have been observed by recent experimental studies 15,26 (i) the lag phase, (ii) the primary growth phase, (iii) the secondary growth phase, (iv) the stationary phase, and (v) the decay phase. 21 In the primary growth phase, cyanobacteria grow rapidly because of the presence of essential nutrients, including nitrate (nitrogen source) and glycerol (carbon source).…”

Section: ■ Introductionmentioning

confidence: 99%

“…Developing dynamic models to simulate and optimize fermentation processes have been widely accepted as the most effective method to solve the previously mentioned problems. A variety of dynamic models including the Monod model and the Droop model have been developed and modified by previous research for biohydrogen production. − With accurate and reliable dynamic models available, different reactor types and operation can be simulated, and the optimization of operating conditions such as nutrient ratio and dilution rate can be explored so as to reveal their maximal productive capability.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Operation Strategy for Biohydrogen Production

Rio‐Chanona

Dechatiwongse

Zhang

et al. 2015

Ind. Eng. Chem. Res.

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Hydrogen produced by microalgae is intensively researched as a potential alternative to conventional energy sources. Scaling-up of the process is still an open issue, and to this end, accurate dynamic modeling is very important. A challenge in the development of these highly nonlinear dynamic models is the estimation of the associated kinetic parameters. This work presents the estimation of the parameters of a revised Droop model for biohydrogen production by Cyanothece sp. ATCC 51142 in batch and fed-batch reactors. The latter reactor type results in an optimal control problem in which the influent concentration of nitrate is optimized which has never been considered previously. The kinetic model developed is demonstrated to predict experimental data to a high degree of accuracy. A key contribution of this work is the prediction that hydrogen productivity can achieve 3365 mL/L through an optimally controlled fed-batch process, corresponding to an increase of 116% over other recently published strategies

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Section: Process Modeling and Optimizationmentioning

confidence: 99%