Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems
Osmotically assisted reverse osmosis (OARO) has been proposed as an innovative solution to recover more water from hypersaline water, surpassing the traditional RO method which is limited by the maximum pressure that the membrane can withstand. An accurate mathematical model is required to elucidate...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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Elsevier
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42152/ http://umpir.ump.edu.my/id/eprint/42152/1/Review%20of%20modeling%20methodologies%20and%20state-of-the-art%20for%20osmotically.pdf http://umpir.ump.edu.my/id/eprint/42152/2/Review%20of%20modeling%20methodologies%20and%20state-of-the-art%20for%20osmotically%20assisted%20reverse%20osmosis%20membrane%20systems.pdf |
| _version_ | 1848826533856149504 |
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| author | Chong, Y. K. Li, M. Wiley, D. E. Fletcher, D. F. Liang, Yong Yeow |
| author_facet | Chong, Y. K. Li, M. Wiley, D. E. Fletcher, D. F. Liang, Yong Yeow |
| author_sort | Chong, Y. K. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Osmotically assisted reverse osmosis (OARO) has been proposed as an innovative solution to recover more water from hypersaline water, surpassing the traditional RO method which is limited by the maximum pressure that the membrane can withstand. An accurate mathematical model is required to elucidate the mechanism of concentration polarization build-up at the inside and outside of the membrane so that these insights can be applied to design an efficient OARO system. This paper reviews state-of-the-art modeling methodologies for OARO using analytical and CFD models. While analytical models have been extensively employed for the design of OARO, the progress of computational models (i.e., CFD) still falls behind. Therefore, CFD methodologies for simulating OARO are demonstrated in this review using the classical and Brinkman porous media models. The sensitivity analysis demonstrates that the Brinkman porous media model is the most applicable for systems with low flux and a thick membrane porous layer. Lastly, future research directions related to OARO modeling are recommended. |
| first_indexed | 2025-11-15T03:46:20Z |
| format | Article |
| id | ump-42152 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:46:20Z |
| publishDate | 2024 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-421522024-08-05T00:40:56Z http://umpir.ump.edu.my/id/eprint/42152/ Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems Chong, Y. K. Li, M. Wiley, D. E. Fletcher, D. F. Liang, Yong Yeow Q Science (General) TP Chemical technology Osmotically assisted reverse osmosis (OARO) has been proposed as an innovative solution to recover more water from hypersaline water, surpassing the traditional RO method which is limited by the maximum pressure that the membrane can withstand. An accurate mathematical model is required to elucidate the mechanism of concentration polarization build-up at the inside and outside of the membrane so that these insights can be applied to design an efficient OARO system. This paper reviews state-of-the-art modeling methodologies for OARO using analytical and CFD models. While analytical models have been extensively employed for the design of OARO, the progress of computational models (i.e., CFD) still falls behind. Therefore, CFD methodologies for simulating OARO are demonstrated in this review using the classical and Brinkman porous media models. The sensitivity analysis demonstrates that the Brinkman porous media model is the most applicable for systems with low flux and a thick membrane porous layer. Lastly, future research directions related to OARO modeling are recommended. Elsevier 2024 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42152/1/Review%20of%20modeling%20methodologies%20and%20state-of-the-art%20for%20osmotically.pdf pdf en http://umpir.ump.edu.my/id/eprint/42152/2/Review%20of%20modeling%20methodologies%20and%20state-of-the-art%20for%20osmotically%20assisted%20reverse%20osmosis%20membrane%20systems.pdf Chong, Y. K. and Li, M. and Wiley, D. E. and Fletcher, D. F. and Liang, Yong Yeow (2024) Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems. Desalination, 587 (117893). pp. 1-15. ISSN 0011-9164. (Published) https://doi.org/10.1016/j.desal.2024.117893 10.1016/j.desal.2024.117893 |
| spellingShingle | Q Science (General) TP Chemical technology Chong, Y. K. Li, M. Wiley, D. E. Fletcher, D. F. Liang, Yong Yeow Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems |
| title | Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems |
| title_full | Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems |
| title_fullStr | Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems |
| title_full_unstemmed | Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems |
| title_short | Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems |
| title_sort | review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems |
| topic | Q Science (General) TP Chemical technology |
| url | http://umpir.ump.edu.my/id/eprint/42152/ http://umpir.ump.edu.my/id/eprint/42152/ http://umpir.ump.edu.my/id/eprint/42152/ http://umpir.ump.edu.my/id/eprint/42152/1/Review%20of%20modeling%20methodologies%20and%20state-of-the-art%20for%20osmotically.pdf http://umpir.ump.edu.my/id/eprint/42152/2/Review%20of%20modeling%20methodologies%20and%20state-of-the-art%20for%20osmotically%20assisted%20reverse%20osmosis%20membrane%20systems.pdf |