Optimised hydrodynamic parameters for the design of photobioreactors using computational fluid dynamics and experimental validation

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Title
Optimised hydrodynamic parameters for the design of photobioreactors using computational fluid dynamics and experimental validation
Author(s)
J P P Bitog; I B Lee; Hee-Mock Oh; S W Hong; I H Seo; K S Kwon
Bibliographic Citation
Biosystems Engineering, vol. 122, pp. 42-61
Publication Year
2014
Abstract
A numerical simulation using computational fluid dynamics (CFD) was utilised to investigate the flow hydrodynamics of cylindrical bubble column type photobioreactors (PBRs) with a 30. l culture medium. To establish the reliability of the simulation study, the CFD model was validated using particle image velocimetry (PIV) computed data under various air flow rates. There were 32 simulation cases for the study comprising two PBR designs, four air flow rates and four nozzle size diameters. Hydrodynamic analyses such as % volume of dead zones, average circulation time and turbulence intensity inside the simulated PBRs were evaluated. Results have shown that the most appropriate PBR for microalgae cultivation was a design with internal baffle and an extended cone-shaped bottom section. In addition, the recommended nozzle diameter was found to be 10mm and a minimum air flow rate of 0.10vvm. To eliminate dead zones inside the PBR, the flow rate can be slightly increased but should not exceed 0.15vvm. Practical evaluation through laboratory experiments has further confirmed the results of the study where the biomass concentration of Chlorella vulgaris from the proposed PBR was significantly higher compared to the standard PBR design. Based on the numerical investigation and practical evaluation, the improved PBR can be seen to be more effective in culturing microalgae particularly for larger scale mass production.
Keyword
Algae biomass concentrationCirculation timeComputational fluid dynamics (CFD)Dead zonesParticle image velocimetry (PIV)Turbulence intensity
ISSN
1537-5110
Publisher
Elsevier
DOI
http://dx.doi.org/10.1016/j.biosystemseng.2014.03.006
Type
Article
Appears in Collections:
Division of Biomaterials Research > Cell Factory Research Center > 1. Journal Articles
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