Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems

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)

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DOI/Official URL: https://doi.org/10.1016/j.desal.2024.117893

Abstract

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.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Analytical model; Computational fluid dynamics (CFD); Methodology; Osmotically assisted reverse osmosis (OARO)
Subjects:	Q Science > Q Science (General) T Technology > TP Chemical technology
Faculty/Division:	Institute of Postgraduate Studies Faculty of Chemical and Process Engineering Technology
Depositing User:	Miss Amelia Binti Hasan
Date Deposited:	05 Aug 2024 00:40
Last Modified:	05 Aug 2024 00:40
URI:	http://umpir.ump.edu.my/id/eprint/42152
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