SOLUTION-DIFFUSION MODEL FOR A SMALL SCALE REVERSE OSMOSIS SYSTEM

Authors

  • Nur Syazwana Hasmadi School of Bioprocess Engineering, Universiti Malaysia Perlis (UniMAP), Kompleks Pusat Pengajian Jejawi 3, 02600 Jejawi, Perlis, Malaysia
  • Nora Jullok School of Bioprocess Engineering, Universiti Malaysia Perlis (UniMAP), Kompleks Pusat Pengajian Jejawi 3, 02600 Jejawi, Perlis, Malaysia
  • Al Nazifah Mat Razi School of Bioprocess Engineering, Universiti Malaysia Perlis (UniMAP), Kompleks Pusat Pengajian Jejawi 3, 02600 Jejawi, Perlis, Malaysia
  • M. Hanif Harif Fadzilah School of Bioprocess Engineering, Universiti Malaysia Perlis (UniMAP), Kompleks Pusat Pengajian Jejawi 3, 02600 Jejawi, Perlis, Malaysia

DOI:

https://doi.org/10.11113/jt.v79.10430

Keywords:

Reverse osmosis, solution-diffusion model, mathematical modeling, membrane, sodium chloride

Abstract

Reverse osmosis (RO) often used for desalination, in producing the ultrapure water for electronics, pharmaceuticals and power generation industries and also it was used in small niche process such as food processing and pollution control. Analysis of membrane performance required multiple of experimental run. Experimental work can be time consuming and costly. Hence, this work aims to model a small scale RO system by using a solution-diffusion model to minimize the experimental work. The model was verified by comparing the data obtained from the model and experimental data. Other studies, which include, the influence of solute feed concentration on the RO system was also been investigated. A commercial RO Trisep flat sheet membrane  was used. The solute permeate concentrations, solvent permeate flux, final solute feed concentrations and rejection rate of sodium chloride (NaCl) was analyzed to observe the membrane performance. Result shows that some experimental data has almost similar trend with the simulated data. Both solute feed concentration and rejection rate of NaCl over time show almost similar trends with percentage errors are 8.89% and 0.76% respectively. As solute feed concentration increased, the solute permeate concentration increased. In contrast to the solute permeate concentration, when the solute feed increases the solvent permeate flux decreases and rejection rate will also decrease. 

References

Kahdim, A. S., Ismail, S., & Jassim, A. A. 2003. Modeling Of Reverse Osmosis Systems. Desalination. 158(1-3): 323-329.

Darwish, M. A., Al-Najem, N. M. 2000. Energy Consumption By Multi-Stage Flash And Reverse Osmosis Desalters. Applied Thermal Engineering. 20: 399-416.

Jamal, K., Khan, M. A., & Kamil, M. 2004. Mathematical Modeling Of Reverse Osmosis Systems. Desalination. 160(1): 29-42.

Baker, R. W. 2012. Membrane Technology and Applications. 3rd edition. Somerset, NJ, USA: John Wiley & Sons.

Idris, A., Ismail, A. F., Shilton, S. J., Roslina, R., & Musa, M. 2002. The Deduction Of Fine Structural Details Of Reverse Osmosis Hollow Fiber Membranes Using Surface Force Pore-Flow Model. Separation and Purification Technology. 29(3): 217-227.

Ahmad, A. L., Chong, M. F., & Bhatia, S. 2005. Mathematical Modeling And Simulation Of The Multiple Solutes System For Nanofiltration Process. Journal of Membrane Science. 253(1-2): 103-115.

Ozaki, H., Li, H. 2002. Rejection Of Organic Compounds By Ultra-Low Pressure Reverse Osmosis Membrane. Water Research. 36: 123-130.

Hausmanns, S., Laufenberg, G., Kunz, B. 1996. Rejection O Acetic Acid And Its Improvement By Combination With Organic Acids In Dilute Solutions Using Reverse Osmosis 1. Desalination.

Williams, M. E. 2003. A Review of Reverse Osmosis Theory. EET Corporation and William Engineering Services Company, Inc., Harriman, TN.

Marriott, J. I., E. Sorensen and I. D. Bogle. 2001. Detailed Mathematical Modelling Of Membrane Modules. Computer Chemical Engineering 25: 693-700.

Fletcher, D.F. and D.E. Wiley. 2004. A Computational Fluids Dynamics Study Of Buoyancy Effects In Reverse Osmosis. Journal Membrane Science. 245: 175-181.

Kaghazchi, T., Mehri, M., Ravanchi, M. T., & Kargari, A. 2010. A Mathematical Modeling Of Two Industrial Seawater Desalination Plants In The Persian Gulf Region. Desalination. 252(1-3): 135-142.

Qusay, F. A., Talib, M. A. & Mumtaz, A. Z. 2013. A Study of the Effect of Operating Conditions on Reverse Osmosis Membrane Performance with and without Air Sparging Technique. Chemical Engineering Communications. 200(1): 1-19.

Fengjuan, L., Wei, W., Qiang, R. 2010. Preparation of Hollow Fibre Composite Reverse Osmosis Membrane. Modern Applied Science. 4(1): 82-90.

Dipti, G. W. and Sanjay, M. C. 2015. Studies on Concentration Polarization for Purification of Saline Water Using Spiral Wound Reverse Osmosis Module. International Journal of Chemical & Petrochemical Technology. 5(1): 11-18.

Downloads

Published

2017-01-31

How to Cite

SOLUTION-DIFFUSION MODEL FOR A SMALL SCALE REVERSE OSMOSIS SYSTEM. (2017). Jurnal Teknologi, 79(1-2). https://doi.org/10.11113/jt.v79.10430