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OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress Report Jeremiah Jones RPI Hartford Rensselaer Polytechnic Institute - Hartford

OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

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Page 1: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS.

Master’s Project First Progress Report

Jeremiah Jones

RPI Hartford

Rensselaer Polytechnic Institute - Hartford

Page 2: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Modeling Approach

• These pictures show one of the meshing patterns which were used in the evaluation.

Rensselaer Polytechnic Institute - Hartford

Membrane Pass Model FE Meshing

Page 3: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Modeling Approach

• This picture shows the other meshing patterns which were used in the evaluation.

Rensselaer Polytechnic Institute - Hartford

Membrane Pass Model FE Meshing

Page 4: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Results

Rensselaer Polytechnic Institute - Hartford

Water Concentration Profile for

v = 0.25 m/s, L = 0.1 m, h = 0.001 m, t = 0.0001 m, Tc=293 K, TH=328 K, cc=cP=55000mol/m3

Page 5: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Results

Rensselaer Polytechnic Institute - Hartford

Temperature Profile for

v = 0.25 m/s, L = 0.1 m, h = 0.001 m, t = 0.0001 m, Tc=293 K, TH=328 K, cc=cP=55000mol/m3

Page 6: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Results

Rensselaer Polytechnic Institute - Hartford

0 0.05 0.1 0.15 0.2 0.25 0.3 54,000

54,200

54,400

54,600

54,800

55,000

55,200

55,400

55,600

Case 1 - Varying Inlet Velocity

Concentrate - Varied Df

Product - Varied Df

Concentrate - Const. Df

Product - Const. Df

Velocity (m/s)

Ou

tlet

Co

nce

ntr

atio

n (

mo

l/m

3)

Page 7: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Results

Rensselaer Polytechnic Institute - Hartford

312 314 316 318 320 322 324 326 328 330 54,500

54,600

54,700

54,800

54,900

55,000

55,100

55,200

55,300

Case 2 - Varying Inlet Hot Temperature

Concentrate

Product

Inlet Hot Temperature (K)

Ou

tlet

Co

nce

ntr

atio

n (

mo

l/m

3)

Page 8: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Results

Rensselaer Polytechnic Institute - Hartford

0.08 0.1 0.12 0.14 0.16 0.18 0.2 0.22 0.24 0.26 54,400

54,500

54,600

54,700

54,800

54,900

55,000

55,100

55,200

55,300

55,400

Case 3 - Varying Channel Length

Concentrate

Product

Channel Length (m)

Ou

tlet

Co

nce

ntr

atio

n (

mo

l/m

3)

Page 9: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Results

Rensselaer Polytechnic Institute - Hartford

0.2 0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7 54,000

54,200

54,400

54,600

54,800

55,000

55,200

55,400

55,600

Case 4 - Varying Membrane Porosity

Concentrate

Product

Porosity

Ou

tlet

Co

nce

ntr

atio

n (

mo

l/m

3)

Page 10: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Results

Rensselaer Polytechnic Institute - Hartford

Old Total Fluxes in Y-direction along Membrane Boundary

Upper Boundary (between membrane and cold water)

Lower Boundary (between membrane and hot water)

Page 11: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Results

Rensselaer Polytechnic Institute - Hartford

New Total Fluxes in Y-direction along Membrane Boundary

Upper Boundary (between membrane and cold water)

Lower Boundary (between membrane and hot water)

Page 12: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

Future WorkRensselaer Polytechnic Institute - Hartford

• Evaluating cases where the concentrate and product inlet velocities were not equal to each other.

• Evaluating counter-current flow cases. • Determining appropriate modeling conditions that would

allow an increase of salt and seawater to permeate the membrane with an increase of membrane porosity.

• Modeling a three-dimensional desalination system and compare to the two-dimensional results obtained herein. The three-dimensional model could evaluate a rectangular channel and compare that to the results of a cylindrical model.

Page 13: OPTIMIZATION OF DIRECT CONTACT MEMBRANE DESALINATION WATER PURIFICATION SYSTEMS USING COMPUTATIONAL FLUID DYNAMIC ANALYSIS. Master’s Project First Progress

References

1. Chapman-Wilbert, Michelle. The Desalting and Water Treatment Membrane Manual: A Guide to Membranes for Municiple Water Treatment. DIBR. Denver: U.S. Department of the Interior; Bureau of Reclamation, 1993.

2. General Electric. Cross Flow Filtration Method Handbook. General Electric Company, 2014.

3. Degremont Technologies Ltd. Reverse Osmosis Skids. 2015. 18 February 2015. <http://www.degremont-technologies.com/IMG/png/ro-diagram.png>.

4. Gozalvez-Zafrilla, J. M. and Santafe-Moros, A. "Design of a Flat Membrane Module for Fouling and Permselectivity Studies." COMSOL Conference 2010. Paris: COMSOL, 2010. 7.

5. General Electric Water & Process Technologies. Point of Use Drinking Water Components. Milwaukee: General Electric Company, 2006.

6. GE Power & Water; Water & Process Technologies. Electrodialysis (ED) and Bipolar Electrodialysis (BPED). 2013. 23 April 2015. http://www.gewater.com/products/electrodialysis-ed-bipolar-bped.html

7. Water King, "Water King's Genesis Reverse Osmosis System," 2012. 16 April 2015. http://www.waterkingwater.com/el_paso_reverse_osmosis.htm

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