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A novel flFFF method estimating interfacial interactions related to UF and NF membrane fouling

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Suhan Kim1,2, Sungyun Lee1, and Jaeweon Cho1,2 ... charge), pore size distribution, contact angle (surface energy, hydrophobicity) ... – PowerPoint PPT presentation

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Title: A novel flFFF method estimating interfacial interactions related to UF and NF membrane fouling


1
A novel fl-FFF method estimating interfacial
interactions related to UF and NF membrane
fouling
  • Suhan Kim1,2, Sungyun Lee1, and Jaeweon Cho1,2
  • 1 Department of Environmental Science and
    Engineering, GIST, Gwangju, Korea
  • 2 Center for Seawater Desalination Plant,
    Gwangju, Korea

2
Backgrounds (I)
  • Traditional criteria for the membrane selection
    pore size and water permeability
  • Fouling is an inevitable problem in membrane
    filtration processes for water reuse and
    desalination.
  • Fouling occurs from interfacial interaction
    adhesion and cohesion. The parameter related to
    the interaction will be a useful index to
    estimate fouling potential.

3
Backgrounds (II)
  • Efforts to predict the fouling potential
    membrane and foulant characterizations
  • - Membrane characterization zeta potential
    (surface charge), pore size distribution, contact
    angle (surface energy, hydrophobicity)
  • - Foulant characterization size and molecular
    weight distribution, zeta potential, contact
    angle
  • - Interfacial interaction model using both
    membrane and foulant characteristics

Fundamental, but laboratory-dependant (not
field-applicable) methods
(Ref) Lee et al., Desalination 202 (2006) 377.
Kim and Hoek, Desalination 202 (2006) 333.
4
Backgrounds (III)
  • Typical two purposes of flow field flow
    fractionation (fl-FFF)
  • (1) Separation
  • (2) Characterization

(Ref) Cho et el., Colloids and Surfaces A
Physicochem. Eng. Aspects 274 (2006) 43.
Tatavarty et el., Journal of Nanoscience and
Nanotechnology 6 (2006) 2461.
5
Objective Hypothesis
Objective
  • To develop more direct, intuitive, and
    field-friendly technique estimating fouling
    potential using fl-FFF.

Hypothesis
  • If foulants are detectable, the fouling potential
    can be quantified using fl-FFF technique.
  • The fouling potential by fl-FFF can be verified
    from lab-scale fouling tests.

6
Theory
  • Basic procedure to get the fouling potential

(A)
Larger interaction High fouling potential
(B)
Smaller interaction Low fouling potential
lt FFF results gt
(B)
  • Smaller area
  • Larger area

(A)
7
Theory
  • Membrane Performance Index (MPI) Fouling
    potential Removal efficiency

(A)
Lower PI from Higher fouling potential
(B)
Lower PI from Lower removal efficiency
(C)
Higher PI from Lower fouling potential Higher
removal efficiency
8
Experimental Methods fl-FFF
  • Membrane
  • PW (GE Osmonics, UF)
  • NE70 (Saehan, NF)
  • NF90 (Dow Filmtec, NF)
  • fl-FFF
  • w 250 mm
  • field flow rate 0.3 ml/min
  • UV detector at 254 nm
  • Procedure
  • Injecting ? Focusing ? Operating w/ no field

No field
9
Experimental Methods Fouling Test
  • Foulants
  • Organic matter
  • HA (Humic Acid, Aldrich),
  • Nanoparticle
  • S120 (Silica nano particle, d120nm)
  • Solutes
  • NaCl 10 mM
  • pH 6 (unadjusted)
  • Membrane
  • PW (GE Osmonics, UF)
  • NE70 (Saehan, NF)
  • NF90 (Dow Filmtec, NF)
  • Operation conditions
  • Hydrodynamic condition
  • Cross-flow Re
  • Cross-flow velocity m/s
  • Initial flux 10 mm/s
  • Temperature
  • T 25?C

10
Membrane Characteristics
NE70
NF90
PW
11
Membrane Performance Index - S120
12
S120 Fouling Test
  • Salt rejection
  • PW lt 1
  • NE70 35
  • NF90 96
  • Foulant removal
  • Conc. 500 mg/L
  • PW 100
  • NE70 100
  • NF90 100

13
Membrane Performance Index - HA
14
HA Fouling Test
  • Salt rejection
  • PW lt 1
  • NE70 35
  • NF90 96
  • Foulant removal
  • Conc. 170 mg/L
  • PW 96
  • NE70 99.5
  • NF90 99.8

15
Key Findings Future works
Key findings
  • A novel fl-FFF method estimating Membrane
    Performance Index (MPI) for a specific foulant
    was developed.
  • MPI accounts for both fouling potential and
    removal efficiency.
  • Lab-scale fouling test partially verifies MPI.

Future works
  • Normalization of MPI (i.e., MPImax 1)
  • More applications of MPI

16
Acknowledgements
  • Financial support
  • This work was supported by a grant (No.
    R01-2006-000-10993-0) from the Basic Research
    Program of the Korea Science and Engineering
    Foundation (KOSEF)
  • Prof. Chos research group at GIST, Korea.
  • Center for Seawater Desalination Plant, Gwangju,
    Korea
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