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Multiphase Science and Technology

Publicou 4 edições por ano

ISSN Imprimir: 0276-1459

ISSN On-line: 1943-6181

SJR: 0.144 SNIP: 0.256 CiteScore™:: 1.1 H-Index: 24

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HYDRODYNAMIC STUDY OF A HOLLOW FIBER MEMBRANE SYSTEM USING EXPERIMENTALLY AND NUMERICALLY DERIVED SURFACE SHEAR STRESSES

Volume 24, Edição 1, 2012, pp. 47-66
DOI: 10.1615/MultScienTechn.v24.i1.20
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RESUMO

Computational fluid dynamics (CFD) models can be used to gain insight into the shear stresses induced by air sparging on submerged hollow fiber membrane bioreactor (MBR) systems. It was found that the average range of shear stresses obtained by the CFD model (0.30-0.60 Pa) and experimentally (0.39-0.69 Pa) were in good agreement, with an error less that 15%. Based on comparison of the cumulative frequency distribution of shear stresses from experiments and simulation, (i) moderate shear stresses (i.e., 50th percentile) were found to be accurately predicted (model: 0.24-0.45 Pa; experimental: 0.25-0.49 Pa) with an error of less than 5%; (ii) high shear stress (i.e., 90th percentile) predictions were much less accurate (model: 0.60-1.23 Pa; experimental: 1.04-1.90 Pa) with an error up to 38%. This was attributed to the fact that the CFD model only considers the two-phase flow (50th percentile) and not the movement of fibers. The latter is likely due to shielding effects or fiber sway, significantly affecting shear stresses at the high end of the distribution. However, this was not accounted for in the model in this study. Despite these deviations, the CFD model in its current state can be used to gain insight into the order of magnitude and shear stress distribution. Inclusion of fiber movement is recommended.

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CITADO POR
  1. Liu Xuefei, Wang Yuan, Waite T. David, Leslie Greg, Numerical simulation of bubble induced shear in membrane bioreactors: Effects of mixed liquor rheology and membrane configuration, Water Research, 75, 2015. Crossref

  2. Yan Xiaoxu, Wu Qing, Sun Jianyu, Liang Peng, Zhang Xiaoyuan, Xiao Kang, Huang Xia, Hydrodynamic optimization of membrane bioreactor by horizontal geometry modification using computational fluid dynamics, Bioresource Technology, 200, 2016. Crossref

  3. Liu Xuefei, Wang Yuan, Waite T. David, Leslie Greg, Fluid Structure Interaction analysis of lateral fibre movement in submerged membrane reactors, Journal of Membrane Science, 504, 2016. Crossref

  4. Liu Xuefei, Wang Yuan, Waite T. David, Leslie Greg, Numerical simulations of impact of membrane module design variables on aeration patterns in membrane bioreactors, Journal of Membrane Science, 520, 2016. Crossref

  5. Wu Qing, Yan Xiaoxu, Xiao Kang, Guan Jing, Li Tianyu, Liang Peng, Huang Xia, Optimization of membrane unit location in a full-scale membrane bioreactor using computational fluid dynamics, Bioresource Technology, 249, 2018. Crossref

  6. Tsibranska Irene, Vlaev Serafim, Tylkowski Bartosz, The problem of fouling in submerged membrane bioreactors – Model validation and experimental evidence, Physical Sciences Reviews, 3, 1, 2018. Crossref

  7. Radaei Elham, Liu Xuefei, Tng Keng Han, Merendino Giuseppe, Trujillo Francisco J., Bérubé Pierre R., Leslie Greg, Numerical and experimental investigation of pulse bubble aeration with high packing density hollow-fibre MBRs, Water Research, 160, 2019. Crossref

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