Relating transport modeling to nanofiltration membrane fabrication: Navigating the permeability-selectivity trade-off in desalination pretreatment
Author(s)
Labban, Omar; Lienhard, John H.
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Faced with a pressing need for membranes with a higher permeability and selectivity, the field of membrane technology can benefit from a systematic framework for designing membranes with the necessary physical characteristics. In this work, we present an approach through which transport modeling is employed in fabricating specialized nanofiltration membranes, that experimentally demonstrate enhanced selectivity. Specifically, the Donnan-Steric Pore Model with dielectric exclusion (DSPM-DE) is used to probe for membrane properties desirable in desalination pretreatment. Nanofiltration membranes are systematically fabricated in-house using layer-by-layer (LbL) deposition to validate model predictions and to develop a new specialized membrane for this application. The new membrane presents a 30% increase in permeability and a 50% reduction in permeate hardness relative to state-of-the-art NF membranes. Our results indicate that a ‘specialized’ tight membrane can outperform looser counterparts in both permeability and selectivity. Given the possibility of extending this framework to other applications, the work furthers our understanding of the relationships governing membrane form and function, while having broad potential implications for future nanofiltration membranes used in chemical separation and purification. Keywords: Permeability-selectivity trade-off; Low-pressure nanofiltration; Transport modeling; Membrane fabrication; Desalination pretreatment
Date issued
2018-03Department
Massachusetts Institute of Technology. Department of Mechanical EngineeringJournal
Journal of Membrane Science
Publisher
Elsevier
Citation
Labban, Omar et al. “Relating Transport Modeling to Nanofiltration Membrane Fabrication: Navigating the Permeability-Selectivity Trade-Off in Desalination Pretreatment.” Journal of Membrane Science 554 (May 2018): 26–38 © 2018 Elsevier B.V.
Version: Author's final manuscript
ISSN
0376-7388