論文

査読有り 招待有り 最終著者 責任著者
2022年11月

Effects of fluid-flow regimes on Chlorella sorokiniana cultivation in cascade photobioreactors with either flat or wavy bottoms

JOURNAL OF BIOTECHNOLOGY
  • Luca Giannelli
  • ,
  • Chihiro Watanabe
  • ,
  • Hideki Yamaji
  • ,
  • Tomohisa Katsuda

359
開始ページ
15
終了ページ
20
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.jbiotec.2022.09.008
出版者・発行元
ELSEVIER

Computational fluid dynamics (CFD) was used to investigate cascade photobioreactors (cascade PBRs) with two different bottom configurations-flat and wavy-to establish the effect that fluid-flow regimes exert on the photosynthetic productivity of Chlorella sorokiniana. In the flat-bottom PBR, areal biomass productivities decreased from 6.8 to 4.2 g.m(-2).d(-1) when the flow rate of a culture per unit of lane width was increased from 33 to 132 L.m(-1).min(-1). We found that this decrease in the areal productivity was the result of a decrease in the volumetric photon flux densities (volumetric PFDs), which was caused by an increase in the depth of the culture in the lane. Through CFD calculation and long-exposure photography, the flow of the culture in the wavy-bottom PBR was characterized in an upper straightforward section and underneath the swirling section. Under identical conditions of flow rate and volumetric PFD (66 L.m(-1).min(-1) and 50 mu mol.m(-3).s(-1), respectively), the cell growth accelerated in the wavy-bottom PBR with areal productivity that reached 6.5 g.m(-2).d(-1)-productivity was 5.1 g.m(-2).d(-1) in the flat-bottom PBR. The swirling flow in the wave troughs held the culture for longer periods in the illuminated lane, and the resultant extended period of mixing improved the photosynthetic productivity.

リンク情報
DOI
https://doi.org/10.1016/j.jbiotec.2022.09.008
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000862936600002&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.jbiotec.2022.09.008
  • ISSN : 0168-1656
  • eISSN : 1873-4863
  • Web of Science ID : WOS:000862936600002

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