TY - JOUR
T1 - Mass transport limitations in high-performance water-vapor selective membranes
T2 - A multiphysics simulation approach
AU - Burton, Nikolai D.
AU - Ghanbari, Saeed
AU - Grishkewich, Nathan
AU - Chekini, Mahshid
AU - Zarshenas, Kiyoumars
AU - Abdala, Ahmed
AU - Gostick, Jeff T.
AU - Pope, Michael A.
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/3/15
Y1 - 2025/3/15
N2 - The pursuit of high-performance, water–vapor selective membranes remain a focal point, as membranes often emerge as energy-efficient alternatives for psychrometric processes. Recent literature results on membranes fabricated from specialized polymers, 2D materials, and metal–organic frameworks (MOFs) as selective layers, have demonstrated unprecedented water vapour permeance and selectivity. However, few studies have examined how such high intrinsic permeances interplay with transport limitations governing the overall membrane performance in common test-cell geometries. This study aims to assess the theoretical limits of diffusion-based membranes by studying the impact of various transport resistances on the overall system permeance. Multiphysics simulations are used to model both fluid dynamics and mass transport within a simplistic geometry versus a commercially available sweep cell. A non-uniform flux pattern emerges, highlighting the substantial impact of non-uniform flow fields and fluid boundary layers, which were previously deemed inconsequential in gas separations. This leads to the underutilization of the membrane, yet unexpectedly increases the overall process permeance by approximately 20% when compared to a simple planar geometry. As researchers engineer better selective layers, future advancements could push this difference as high as 36%. By utilizing dimensionless groups and fitting parameters (0.76 Re0.438Sc0.33), the true membrane permeance can be extracted from the test configuration within a 5% margin of error. This approach is essential for assessing permeances, scaling membranes, and enabling accurate comparisons.
AB - The pursuit of high-performance, water–vapor selective membranes remain a focal point, as membranes often emerge as energy-efficient alternatives for psychrometric processes. Recent literature results on membranes fabricated from specialized polymers, 2D materials, and metal–organic frameworks (MOFs) as selective layers, have demonstrated unprecedented water vapour permeance and selectivity. However, few studies have examined how such high intrinsic permeances interplay with transport limitations governing the overall membrane performance in common test-cell geometries. This study aims to assess the theoretical limits of diffusion-based membranes by studying the impact of various transport resistances on the overall system permeance. Multiphysics simulations are used to model both fluid dynamics and mass transport within a simplistic geometry versus a commercially available sweep cell. A non-uniform flux pattern emerges, highlighting the substantial impact of non-uniform flow fields and fluid boundary layers, which were previously deemed inconsequential in gas separations. This leads to the underutilization of the membrane, yet unexpectedly increases the overall process permeance by approximately 20% when compared to a simple planar geometry. As researchers engineer better selective layers, future advancements could push this difference as high as 36%. By utilizing dimensionless groups and fitting parameters (0.76 Re0.438Sc0.33), the true membrane permeance can be extracted from the test configuration within a 5% margin of error. This approach is essential for assessing permeances, scaling membranes, and enabling accurate comparisons.
KW - Computational fluid dynamics
KW - Dehumidification
KW - Gas separation membrane
KW - Graphene Oxide
KW - Permeance
UR - https://www.scopus.com/pages/publications/85218859204
U2 - 10.1016/j.cej.2025.160974
DO - 10.1016/j.cej.2025.160974
M3 - Article
AN - SCOPUS:85218859204
SN - 1385-8947
VL - 508
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
M1 - 160974
ER -