Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/64600
Title: Multi-objective optimization and process intensification of multistage nanofiltration with structural synergy for brine separation
Contributor(s): Beke, Aron K (author); Ihm, Seungwon (author); Alharthi, Fahad Ayesh (author); Fellows, Christopher M  (author)orcid ; Szekely, Gyorgy (author)
Publication Date: 2025-02-01
DOI: 10.1016/j.cej.2024.158994
Handle Link: https://hdl.handle.net/1959.11/64600
Abstract: 

Potable water production through reverse osmosis is a key application of membrane technology, with increasing focus on the efficient processing of reverse osmosis brine due to the health benefits and market potential of magnesium. In this study, we performed the first in-depth analysis and multi-objective optimization of a multistage nanofiltration system for brine separation in collaboration with the Saudi Water Authority, the largest desalination company in the world. Pareto fronts between purity, recovery, and power demand were evaluated via constraint-handled multistart optimization, revealing synergistic enhancement of separation performance through interstage dilution and permeate recycling. Structural intensification enables up to 233% increase in separation factor, or 9% energy demand reduction, projecting significant sustainability and cost benefits. Alternatively, optimal intensification can yield a 7% increase in divalent cation production, equivalent to a global increase of up to 124,200 tons per year. The proposed modeling framework offers a robust approach for future endeavors in ion separation optimization.

Publication Type: Journal Article
Source of Publication: Chemical Engineering Journal, v.505, p. 1-11
Publisher: Elsevier BV
Place of Publication: The Netherlands
ISSN: 1873-3212
1385-8947
Fields of Research (FoR) 2020: 3403 Macromolecular and materials chemistry
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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