Relating transport modeling to nanofiltration membrane fabrication: Navigating the permeability-selectivity trade-off in desalination pretreatment

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...

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Main Authors: Labban, Omar, Lienhard, John H.
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Published: Elsevier 2018
Online Access:http://hdl.handle.net/1721.1/114293
https://orcid.org/0000-0003-4167-4186
https://orcid.org/0000-0002-2901-0638
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author Labban, Omar
Lienhard, John H.
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Labban, Omar
Lienhard, John H.
author_sort Labban, Omar
collection MIT
description 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
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spelling mit-1721.1/1142932022-10-01T15:56:33Z Relating transport modeling to nanofiltration membrane fabrication: Navigating the permeability-selectivity trade-off in desalination pretreatment Labban, Omar Lienhard, John H. Massachusetts Institute of Technology. Department of Mechanical Engineering Labban, Omar Lienhard, John H. 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 2018-03-26T15:47:02Z 2018-03-26T15:47:02Z 2018-03 2018-02 2018-03-22T15:09:09Z Article http://purl.org/eprint/type/JournalArticle 0376-7388 http://hdl.handle.net/1721.1/114293 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. https://orcid.org/0000-0003-4167-4186 https://orcid.org/0000-0002-2901-0638 http://dx.doi.org/10.1016/j.memsci.2018.02.053 Journal of Membrane Science Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Elsevier Prof. Lienhard
spellingShingle Labban, Omar
Lienhard, John H.
Relating transport modeling to nanofiltration membrane fabrication: Navigating the permeability-selectivity trade-off in desalination pretreatment
title Relating transport modeling to nanofiltration membrane fabrication: Navigating the permeability-selectivity trade-off in desalination pretreatment
title_full Relating transport modeling to nanofiltration membrane fabrication: Navigating the permeability-selectivity trade-off in desalination pretreatment
title_fullStr Relating transport modeling to nanofiltration membrane fabrication: Navigating the permeability-selectivity trade-off in desalination pretreatment
title_full_unstemmed Relating transport modeling to nanofiltration membrane fabrication: Navigating the permeability-selectivity trade-off in desalination pretreatment
title_short Relating transport modeling to nanofiltration membrane fabrication: Navigating the permeability-selectivity trade-off in desalination pretreatment
title_sort relating transport modeling to nanofiltration membrane fabrication navigating the permeability selectivity trade off in desalination pretreatment
url http://hdl.handle.net/1721.1/114293
https://orcid.org/0000-0003-4167-4186
https://orcid.org/0000-0002-2901-0638
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