Correlating numerical and experimental analysis for aeration in gravity driven membrane systems.

Saved in:
Bibliographic Details
Title: Correlating numerical and experimental analysis for aeration in gravity driven membrane systems.
Authors: Beshay, Peter F.R.1 (AUTHOR) peter.beshay@singaporetech.edu.sg, Ang, Elisa Y.M.1 (AUTHOR), An, Hui1 (AUTHOR), Wang, Peng Cheng1 (AUTHOR)
Source: International Communications in Heat & Mass Transfer. Apr2025, Vol. 163, pN.PAG-N.PAG. 1p.
Subjects: Multiphase flow, Shearing force, Membrane separation, Power resources, Water supply
Abstract: Gravity driven membrane (GDM) is an alternative over conventional high energy-consuming water filtration systems. Especially in less-privileged communities with limited access to clean water or energy resources. Here, we optimize aeration mechanism for membrane recovery for GDM. Most contributions for aeration optimization focus on high pressure membrane operation, which differs for low pressure GDM. We propose a computationally efficient numerical model to be used for predicting the performance of different aeration regimes in GDM system. Time-averaged membrane shear from simulations is found to be inversely proportional to the experimental permeability drop. After validating, we present an empirically derived equation correlating shear stress for different scenarios to the expected permeability drop for GDM. The validated numerical model could predict permeability drop from CFD shear within acceptable error. To our knowledge, this is the first attempt to derive a predictive model for such application. Prolonged test using raw water was performed for the optimized aeration regime in the GDM system and the proposed empirical equation was validated for this case. Presented results provide a guide for development of anti-fouling aeration strategies for GDM systems and highlight a cost-effective use of CFD for practical GDM system optimization through correlation with real membrane performance. • Gravity Driven Membrane is a sustainable method for water filtration. • Aeration improves performance of hollow-fibre membrane filtration. • Experimental optimization of aeration for membrane recovery. • Numerical membrane shear stress correlates with experimental permeability drop. • Predictive model can be used for aeration technique optimization. [ABSTRACT FROM AUTHOR]
Copyright of International Communications in Heat & Mass Transfer is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 183546430
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Correlating numerical and experimental analysis for aeration in gravity driven membrane systems.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Beshay%2C+Peter+F%2ER%2E%22">Beshay, Peter F.R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> peter.beshay@singaporetech.edu.sg</i><br /><searchLink fieldCode="AR" term="%22Ang%2C+Elisa+Y%2EM%2E%22">Ang, Elisa Y.M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22An%2C+Hui%22">An, Hui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Peng+Cheng%22">Wang, Peng Cheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Communications+in+Heat+%26+Mass+Transfer%22">International Communications in Heat & Mass Transfer</searchLink>. Apr2025, Vol. 163, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Multiphase+flow%22">Multiphase flow</searchLink><br /><searchLink fieldCode="DE" term="%22Shearing+force%22">Shearing force</searchLink><br /><searchLink fieldCode="DE" term="%22Membrane+separation%22">Membrane separation</searchLink><br /><searchLink fieldCode="DE" term="%22Power+resources%22">Power resources</searchLink><br /><searchLink fieldCode="DE" term="%22Water+supply%22">Water supply</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Gravity driven membrane (GDM) is an alternative over conventional high energy-consuming water filtration systems. Especially in less-privileged communities with limited access to clean water or energy resources. Here, we optimize aeration mechanism for membrane recovery for GDM. Most contributions for aeration optimization focus on high pressure membrane operation, which differs for low pressure GDM. We propose a computationally efficient numerical model to be used for predicting the performance of different aeration regimes in GDM system. Time-averaged membrane shear from simulations is found to be inversely proportional to the experimental permeability drop. After validating, we present an empirically derived equation correlating shear stress for different scenarios to the expected permeability drop for GDM. The validated numerical model could predict permeability drop from CFD shear within acceptable error. To our knowledge, this is the first attempt to derive a predictive model for such application. Prolonged test using raw water was performed for the optimized aeration regime in the GDM system and the proposed empirical equation was validated for this case. Presented results provide a guide for development of anti-fouling aeration strategies for GDM systems and highlight a cost-effective use of CFD for practical GDM system optimization through correlation with real membrane performance. • Gravity Driven Membrane is a sustainable method for water filtration. • Aeration improves performance of hollow-fibre membrane filtration. • Experimental optimization of aeration for membrane recovery. • Numerical membrane shear stress correlates with experimental permeability drop. • Predictive model can be used for aeration technique optimization. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Communications in Heat & Mass Transfer is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=183546430
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.icheatmasstransfer.2025.108701
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Multiphase flow
        Type: general
      – SubjectFull: Shearing force
        Type: general
      – SubjectFull: Membrane separation
        Type: general
      – SubjectFull: Power resources
        Type: general
      – SubjectFull: Water supply
        Type: general
    Titles:
      – TitleFull: Correlating numerical and experimental analysis for aeration in gravity driven membrane systems.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Beshay, Peter F.R.
      – PersonEntity:
          Name:
            NameFull: Ang, Elisa Y.M.
      – PersonEntity:
          Name:
            NameFull: An, Hui
      – PersonEntity:
          Name:
            NameFull: Wang, Peng Cheng
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 07351933
          Numbering:
            – Type: volume
              Value: 163
          Titles:
            – TitleFull: International Communications in Heat & Mass Transfer
              Type: main
ResultId 1