Entropic selectivity in air separation: Via a bilayer nanoporous graphene membrane

Song Wang, Sheng Dai, De En Jiang

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Membranes represent an energy-efficient technology for air separation, but it is difficult to control the pore size to separate N2 and O2 due to their similar kinetic diameters. Here we demonstrate by molecular dynamics simulations that a bilayer nanoporous graphene membrane with continuously tunable pore sizes by the offset between the two graphene layers can achieve O2/N2 selectivity of up to 26 with a permeance of over 105 GPU (gas permeation unit). We find that entropic selectivity is the main reason behind the high selectivity via the tumbling movement of the skinnier and shorter O2 molecules entering and passing through the elliptic-cylinder-shaped nanopores of the bilayer membrane. Such motion is absent in the single-layer graphene membrane with pores of similar size and shape which yields an O2/N2 selectivity of only 6 via molecular sieving alone. Hence the bilayer nanoporous graphene membrane provides a novel way to enhance the entropic selectivity for gas separation by controlling both the pore size and the 3D pore shape.

Original languageEnglish
Pages (from-to)16310-16315
Number of pages6
JournalPhysical Chemistry Chemical Physics
Volume21
Issue number29
DOIs
StatePublished - 2019

Funding

This work was sponsored by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 This work was sponsored by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.

FundersFunder number
DOE Office of ScienceDE-AC02-05CH11231
Office of Basic Energy Sciences
U.S. Department of Energy
Office of Science
Chemical Sciences, Geosciences, and Biosciences Division

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