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Cited 23 time in webofscience Cited 62 time in scopus
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Recent advances in computational fluid dynamics (CFD) modelling of photobioreactors: Design and applications

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dc.contributor.authorPanneerselvam Ranganathan-
dc.contributor.authorAshutosh Kumar Pandey-
dc.contributor.authorRanjna Sirohi-
dc.contributor.authorAnh Tuan Hoang-
dc.contributor.authorSANG HYOUN KIM-
dc.date.accessioned2023-04-12T02:40:05Z-
dc.date.available2023-04-12T02:40:05Z-
dc.date.issued2022-04-
dc.identifier.issn0960-8524-
dc.identifier.issn1873-2976-
dc.identifier.urihttps://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6446-
dc.description.abstractThe development of photobioreactor is important for sustainable production of renewable fuels, wastewater treatment and CO2 fixation. For the design and scale-up of a photobioreactor, CFD can be used as an indispensable tool. The present study reviews the recent status of computational flow modelling of various types of photobioreactors, involving fluid dynamics, light transport, and algal growth kinetics. An integrated modelling approach of hydrodynamics, light intensity, mass transfer, and biokinetics in photobioreactor is discussed further. Also, this reviews intensified system to improve the mixing, and light intensity of photobioreactors. Finally, the prospects and challenges of CFD modelling in photobioreactors are discussed. Multi-scale modelling approach and development of low-cost efficient computational framework are the areas to be considered for modelling of photobioreactor in near future. In addition, it is necessary to use process intensification techniques for photobioreactors for improving their hydrodynamics, mixing and mass transfer performances, and algal growth productivity.-
dc.language영어-
dc.language.isoENG-
dc.publisherELSEVIER-
dc.titleRecent advances in computational fluid dynamics (CFD) modelling of photobioreactors: Design and applications-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1016/j.biortech.2022.126920-
dc.identifier.scopusid2-s2.0-85125575840-
dc.identifier.wosid000781662000002-
dc.identifier.bibliographicCitationBIORESOURCE TECHNOLOGY, v.350, pp 126920-1 - 126920-9-
dc.citation.titleBIORESOURCE TECHNOLOGY-
dc.citation.volume350-
dc.citation.startPage126920-1-
dc.citation.endPage126920-9-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaAgriculture-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryAgricultural Engineering-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.subject.keywordPlusENERGY-CONSUMPTION-
dc.subject.keywordPlusLIGHT/DARK CYCLE-
dc.subject.keywordPlusMICROALGAE-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusPHOTOSYNTHESIS-
dc.subject.keywordPlusGROWTH-
dc.subject.keywordAuthorPhotobioreactor-
dc.subject.keywordAuthorComputational fluid dynamics-
dc.subject.keywordAuthorMicroalgae-
dc.subject.keywordAuthorBiofuels-
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College of Engineering > 공과대학 사회환경시스템공학부 > 공과대학 건설환경공학과 > 1. Journal Articles

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