Novel flat-plate photobioreactors for microalgae cultivation with special mixers to promote mixing along the light gradient

Huang, Jianke; Li, Yuanguang; Wan, Minxi; Yan, Yi Nong; Fěng, Fang; Qu, Xiaoxing; Wang, Jun; Shen, Guomin; Li, Wei; Fan, Jianhua; Wang, Weiliang

doi:10.1016/j.biortech.2014.01.134

Cited by 116 publications

(85 citation statements)

References 34 publications

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“…Production has been shown to vary with high-light conditions. Increased mixing of increasingly concentrated cultures also enhances production [158,163,236], presumably by increasing the exposure time of the cells to the light regime. Previous to this, Laws et al [48] increased production in a raceway pond using turbulent eddy shedding to create highfrequency fluid motions, thereby exposing cells to high-light fluctuations.…”

Section: Growth Rate Biomass and Productionmentioning

confidence: 99%

Dependency of Microalgal Production on Biomass and the Relationship to Yield and Bioreactor Scale-up for Biofuels: a Statistical Analysis of 60+ Years of Algal Bioreactor Data

Granata

2016

Bioenerg. Res.

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Since the 1950s, research has been undertaken to promote algal oil as a sustainable alternative to fossil fuels. This paper statistically analyzed 317 studies of algal bioreactors to determine the interdependence of biological and physical factors affecting oil yield. Algal growth rates in bioreactors often (71 %) exceeded maximal growth rates cited in the literature, and biomass was generally higher than maximum values cited for laboratory cultures. Growth rate decreased with increasing biomass, and biomass, not growth, dominated production rate, which was higher in closed than in open bioreactors. Except for Chlorella cultured in horizontal tubular reactors, there were no statistical differences in algal production when grown in different types of reactors. Production decreased with increasing bioreactor volume, but increased with surface to volume ratio of the bioreactor. In contrast, estimated oil yields increased with bioreactor volume. Four groups of bioreactors were identified based on their oil yields and biomass production: (1) higher yields with lower production were limited to open systems with volumes ≥10 4 L; (2) higher yields with higher production were almost exclusively closed bioreactors from 10 2 to 10 3 L; (3) lower yields with higher production were closed systems from 3 to 99 L; and (4) lower yields with lower production were a mix of open and closed systems with diverse volumes. Based on these groups, it is suggested that intermediate volume bioreactors with higher surface to volume ratios could give higher yields and production rates and would avoid the environmental and scale-up problems inherent in large bioreactors currently being used commercially to culture microalgae.

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Section: Growth Rate Biomass and Productionmentioning

confidence: 99%

Dependency of Microalgal Production on Biomass and the Relationship to Yield and Bioreactor Scale-up for Biofuels: a Statistical Analysis of 60+ Years of Algal Bioreactor Data

Granata

2016

Bioenerg. Res.

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“…1a) and transferring forward and backward only . Tubes and mixers are assumed to be transparent and have no impact on light transfer Huang et al 2014;. The light profiles in PBRs calculated by Matlab are shown in Fig.…”

Section: Light Transfer Modelmentioning

confidence: 99%

“…Microalgal cell movements are assumed to be the movement of particles, as in previous researches (Gómez-Pérez et al 2015Huang et al 2014). The discrete random walk model was adopted to calculate the trajectories of particles (Yang et al 2016;PernerNochta and Posten 2007).…”

Section: Particle Tracking Modelmentioning

confidence: 99%

“…Thus, the Cornet model is selected to simulate the light profile in tubular PBRs in this work, which is expressed by Huang et al 2014) and…”

Section: Light Transfer Modelmentioning

confidence: 99%

“…Cells with L/D cycles can grow faster and endure a higher biomass concentration for the so-called flashing light effect (Abu-Ghosh et al 2016). Huang et al (2014) have illustrated that L/D cycles, rather than turbulent kinetic energy or turbulent kinetic energy dissipation rate, is the parameter that directly relates to the biomass output by correlation analysis based on experiments and simulations. Also, light fluctuation is the main factor considered in a newly developed microalgal growth model (Gao et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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Light/dark cycle enhancement and energy consumption of tubular microalgal photobioreactors with discrete double inclined ribs

Qin

Lei

2018

Bioresour. Bioprocess.

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Tubular photobioreactors (PBRs) have a great potential in large-scale biomass cultivation and mixers in tubular PBRs have been intensively investigated to achieve high biomass productivity. However, mixers increase not only biomass yield, but also energy consumption. To evaluate performances on increasing light/dark (L/D) cycles and energy consumption of adding a mixer simultaneously, a new parameter named as efficiency of L/D cycle enhancement is introduced. Discrete double inclined ribs, intensively studied in heat transfer, are introduced to tubular PBRs in this work. The number of ribs in a cross section is discussed. These tubular PBRs are investigated in terms of the flow structure, L/D cycle frequency and efficiency of L/D cycle enhancement by computational fluid dynamics. The numerical results show that the increment of L/D cycle frequency caused by the discrete double inclined ribs is larger than the increment of energy consumption caused by the ribs under a wide range of incident light intensity. In general, the increasing of rib length ratio results in a decrease of efficiency and the PBR with two pairs of ribs performs the best. Based on the general trends, a PBR with two pairs of ribs and of which the rib length ratio is 5 is recommended for further studies.

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State of Art Strategies for Biodiesel Production: Bioengineering Approaches

Deniz

Aslanbay

İmamoğlu

2019

Liquid Biofuel Production

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Novel flat-plate photobioreactors for microalgae cultivation with special mixers to promote mixing along the light gradient

Cited by 116 publications

References 34 publications

Dependency of Microalgal Production on Biomass and the Relationship to Yield and Bioreactor Scale-up for Biofuels: a Statistical Analysis of 60+ Years of Algal Bioreactor Data

Dependency of Microalgal Production on Biomass and the Relationship to Yield and Bioreactor Scale-up for Biofuels: a Statistical Analysis of 60+ Years of Algal Bioreactor Data

Light/dark cycle enhancement and energy consumption of tubular microalgal photobioreactors with discrete double inclined ribs

State of Art Strategies for Biodiesel Production: Bioengineering Approaches

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