It
has become a significant challenge to select the best metal–organic
frameworks (MOFs) for membrane-based gas separations because the number
of synthesized MOFs is growing exceptionally fast. In this work, we
used high-throughput computational screening to identify the top MOF
membranes for flue gas separation. Grand canonical Monte Carlo and
molecular dynamics simulations were performed to assess adsorption
and diffusion properties of CO2 and N2 in 3806
different MOFs. Using these data, selectivities and permeabilities
of MOF membranes were predicted and compared with those of conventional
membranes, polymers, and zeolites. The best performing MOF membranes
offering CO2/N2 selectivity > 350 and CO2 permeability > 106 Barrer were identified.
Ternary
CO2/N2/H2O mixture simulations were
then performed for the top MOFs to unlock their potential under industrial
operating conditions, and results showed that the presence of water
decreases CO2/N2 selectivity and CO2 permeability of some MOF membranes. As a result of this stepwise
screening procedure, the number of promising MOF membranes to be investigated
for flue gas separation in future experimental studies was narrowed
down from thousands to tens. We finally examined the structure–performance
relations of MOFs to understand which properties lead to the greatest
promise for flue gas separation and concluded that lanthanide-based
MOFs with narrow pore openings (<4.5 Å), low porosities (<0.75),
and low surface areas (<1000 m2/g) are the best materials
for membrane-based CO2/N2 separations.