Sergio Bobbo - CNR DI PADOVA - APPLICAZIONI DEI NANOFLUIDI
Abdullaha
1. CAKE ENHANCED CONCENTRATION
POLARIZATION IN NANOFILTRATION: A
TRANSIENT ELECTROKINETIC MODEL AND
EXPERIMENTAL OBSERVATION
Md Abdullaha Al Mamun
AIChE Annual Meeting
October 31, 2012
2. Outline
• Nanofiltration and colloidal fouling
• Objectives
• Transient electrokinetic model
• Experimental setup, materials, and method
• Model predictions and experimental observations
• Concluding remarks
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4. Fouling in NF Processes
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Membrane
Hence, combined fouling of these constituents manifest in
a very complex manner
However, colloidal fouling in presence of ions
•Simpler, yet capturing the fundamentals of combined
fouling mechanisms
6. Objectives
Limitation of previous CECP models
• Neglected the influence of cake volume fraction on
electroosmotic back flow and coupling between transient
growth of cake layer and CECP
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Develop a mechanistic model of performance decline due
to combined fouling of colloids and ions in NF processes
Cell model of electroosmosis
Transient growth of cake layer and CECP
Conduct cross flow nanofiltration experiments to
investigate the influential parameters and validate the
developed model
7. Transient Electrokinetic Model
Electroosmotic back flow
Levine-Neale cell model of
electrophoresis
Electroosmotic back flow
Levine-Neale cell model of
electrophoresis
Hydrodynamic resistance
Kuwabara cell model
Hydrodynamic resistance
Kuwabara cell model
Transient growth of cake layer
Unsteady mass balance of colloids within cake layer
Transient growth of cake layer
Unsteady mass balance of colloids within cake layer
Electrolyte transport and hindered diffusivity
Mass balance equation of ion and diffusive tortuosity of porous bed
Electrolyte transport and hindered diffusivity
Mass balance equation of ion and diffusive tortuosity of porous bed
Transmembrane osmotic pressure (TMOP) and film theory
van’t Hoff relation and Darcy’s law
Transmembrane osmotic pressure (TMOP) and film theory
van’t Hoff relation and Darcy’s law
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8. Schematic of Setup
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Feed stream
Bypass stream
Permeate stream
Retentate stream
Data acquisition
Cooling water
9. Experimental Protocol
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Experimental results
Primary
•Permeate flux
•Observed rejection
•Deposited mass
Secondary
•TMOP
•Pressure drop across the
cake layer
•Cake volume fraction
10. Materials and Instruments
Membrane
• Aromatic polyamide
composite membrane: NF90
• Resistance: 4×1013
m-1
• Observed NaCl Rejection: 90%
• RMS roughness: 65 μm
• Zeta Potential: -18 mV at pH 7
to 9 in 10 mM NaCl
Silica and Salt
• Snowtex-ZL (Nissan
Chemicals)
• Hydrodynamic Diameter:
100 nm
• Zeta Potential: -35 mV at
pH 7 and 10 mM NaCl
solution
• 99% NaCl (Sigma Aldrich)
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Instruments
Dynamic light scattering, Acoustic and electroacoustic spectrometer,
UV-VIS spectrometer, and Field emission scanning electron microscopy
11. Electroosmotic Back Flow
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Zeta potential
Pressure drop ratio: the ratio of total pressure drop including
the electroosmotic back flow to the pressure drop due to
hydrodynamic resistance only
Pressure drop ratio
•Exhibits a maximum value
with respect to κa for fixed
volume fraction
•Increases with the zeta
potential
12. Effect of Volume Fraction
Electroosmotic back flow is important when Debye layer
thickness, κ-1
, is comparable with cell radius, b
Electroosmotic back flow is important when Debye layer
thickness, κ-1
, is comparable with cell radius, b
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Volume fraction
13. Comparison of Transient Fouling
300 ppm Silica, 10 mM NaCl, pressure 965
kPa, cross flow velocity 0.1 m/s and porosity
0.5
Cake volume fraction
•Only adjustable
fitting parameter
•Obtained from
experimental porosity
•Constant over the
filtration time
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14. Goodness of Fit
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Criterion
Response
Flux decline Salt rejection Deposited Mass Normalized CEOP
RMSE 0.033 0.043 0.096 0.029
R 0.959 0.952 0.901 0.965
R2
0.92 0.906 0.813 0.931
Root Mean Squared Error (RMSE), Correlation Coefficient (R) and Coefficient of Determination (R2
)
15. For lower pressure
•Less flux decline
•Less mass deposition
•Less increase in %TMOP
Important result
•Silica deposition and flux
decline reach to steady state at
critical flux
Operating Pressure, 965 and 689 kPa
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16. For higher cross flow velocity
• Higher percent flux decline
Due to
• Less initial TMOP
• Higher initial permeate flux (vi)
• More mass deposition
• Higher increase in %TMOP
Cross Flow Velocity, 0.1 and 0.2 m/s
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17. Concluding Remarks
• Mechanistic model has been developed
• Track experimental results with one adjustable constant
parameter
• Electroosmotic back flow is important for higher zeta
potential and volume fraction within2<κa<25
• Operation of filtration process at or below the critical flux is
beneficial for the membrane performance
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18. Acknowledgement
• NSERC Industrial Research Chair Program in
Water Quality Management for Oil Sands
Extraction
• University of Alberta
• Dr. Mohtada Sadrzadeh and Dr. Subir
Bhattacharjee
• Group members at CCFLab
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Thank You
Hence, different foulants in NF processes are precipitation fouling, colloidal fouling and organic fouling.
Retention of the solutes form concentration polarization layer
As we have seen that NF membranes are used for separation of colloids, organic and salt
Therefore, fouling manifest in a very complex manner in NF processes
However, addressing the combined fouling of these constituent involves several degree of complexity
In this regard we are considering the combined fouling of colloids and ions, which make the process simpler yet capturing the fundamentals of fouling mechanism
The closer all of the data points to the line the higher the degree of correlation
We can present our results with +RMSE value
Positive correlation means if experimental results increase then model prediction also increase
The closer all of the data points to the line the higher the degree of correlation
We can present our results with +RMSE value
Positive correlation means if experimental results increase then model prediction also increase