LAPSE:2023.3895
Published Article

LAPSE:2023.3895
Theoretical and Computational Analysis on Double-End Submerged Hollow Fibre Membrane Modules
February 22, 2023
Abstract
This paper studies the potential increase in permeate output flow rate that submerged hollow fibres can achieve when operating in double-end suction. The flow dynamics of submerged hollow fibre membranes with different combinations of fibre inner diameter, membrane thickness, and membrane permeability were numerically simulated. Fibre features (fibre inner diameter, membrane thickness, and membrane permeability) are then characterised for their effects on the increment in permeate flow rate due to change in configuration. Concurrently, an analytical model of a fibre in double-end suction is modelled. Analysis on the double-end fibre model has indicated that the fibre characteristic ratio, λ, has a direct influence on the relative increase in output flow rate when both ends are open. Parametric investigations on the three fibre features have shown that their effects on relative output increase agree with the co-relations indicated by λ. For fibres with λ less than 4, a proportional relationship between a fibre’s λ value and the percentage increment in permeate flow rate is observed when adopting double-end suction. The fibre characteristic ratio, λ, in addition to characterising flux uniformity, can further be used to consider the effectiveness of applying double-end suction in Submerged Hollow Fibre Membrane Module (SHFMM) systems at the design stage.
This paper studies the potential increase in permeate output flow rate that submerged hollow fibres can achieve when operating in double-end suction. The flow dynamics of submerged hollow fibre membranes with different combinations of fibre inner diameter, membrane thickness, and membrane permeability were numerically simulated. Fibre features (fibre inner diameter, membrane thickness, and membrane permeability) are then characterised for their effects on the increment in permeate flow rate due to change in configuration. Concurrently, an analytical model of a fibre in double-end suction is modelled. Analysis on the double-end fibre model has indicated that the fibre characteristic ratio, λ, has a direct influence on the relative increase in output flow rate when both ends are open. Parametric investigations on the three fibre features have shown that their effects on relative output increase agree with the co-relations indicated by λ. For fibres with λ less than 4, a proportional relationship between a fibre’s λ value and the percentage increment in permeate flow rate is observed when adopting double-end suction. The fibre characteristic ratio, λ, in addition to characterising flux uniformity, can further be used to consider the effectiveness of applying double-end suction in Submerged Hollow Fibre Membrane Module (SHFMM) systems at the design stage.
Record ID
Keywords
Computational Fluid Dynamics, double-end suction, permeate flow rate, submerged hollow fibre
Subject
Suggested Citation
Lim KB, An H, Wang PC, Liu G, Yu SCM. Theoretical and Computational Analysis on Double-End Submerged Hollow Fibre Membrane Modules. (2023). LAPSE:2023.3895
Author Affiliations
Lim KB: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore
An H: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore
Wang PC: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore
Liu G: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore
Yu SCM: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore
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An H: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore
Wang PC: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore
Liu G: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore
Yu SCM: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore
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Journal Name
Energies
Volume
11
Issue
5
Article Number
E1042
Year
2018
Publication Date
2018-04-24
ISSN
1996-1073
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PII: en11051042, Publication Type: Journal Article
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LAPSE:2023.3895
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https://doi.org/10.3390/en11051042
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Feb 22, 2023
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