Author
Listed:
- Sheng Zhou
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
Discovery and Development (FMD3))
- Osama Shekhah
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
Discovery and Development (FMD3))
- Adrian Ramírez
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST))
- Pengbo Lyu
(Université de Montpellier, CNRS, ENSCM)
- Edy Abou-Hamad
(King Abdullah University of Science and Technology (KAUST))
- Jiangtao Jia
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
Discovery and Development (FMD3))
- Jiantang Li
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
Discovery and Development (FMD3))
- Prashant M. Bhatt
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
Discovery and Development (FMD3))
- Zhiyuan Huang
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
Discovery and Development (FMD3))
- Hao Jiang
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
Discovery and Development (FMD3))
- Tian Jin
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
Discovery and Development (FMD3))
- Guillaume Maurin
(Université de Montpellier, CNRS, ENSCM)
- Jorge Gascon
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST))
- Mohamed Eddaoudi
(King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
Discovery and Development (FMD3))
Abstract
To use natural gas as a feedstock alternative to coal and oil, its main constituent, methane, needs to be isolated with high purity1. In particular, nitrogen dilutes the heating value of natural gas and is, therefore, of prime importance for removal2. However, the inertness of nitrogen and its similarities to methane in terms of kinetic size, polarizability and boiling point pose particular challenges for the development of energy-efficient nitrogen-removing processes3. Here we report a mixed-linker metal–organic framework (MOF) membrane based on fumarate (fum) and mesaconate (mes) linkers, Zr-fum67-mes33-fcu-MOF, with a pore aperture shape specific for effective nitrogen removal from natural gas. The deliberate introduction of asymmetry in the parent trefoil-shaped pore aperture induces a shape irregularity, blocking the transport of tetrahedral methane while allowing linear nitrogen to permeate. Zr-fum67-mes33-fcu-MOF membranes exhibit record-high nitrogen/methane selectivity and nitrogen permeance under practical pressures up to 50 bar, removing both carbon dioxide and nitrogen from natural gas. Techno-economic analysis shows that our membranes offer the potential to reduce methane purification costs by about 66% for nitrogen rejection and about 73% for simultaneous removal of carbon dioxide and nitrogen, relative to cryogenic distillation and amine-based carbon dioxide capture.
Suggested Citation
Sheng Zhou & Osama Shekhah & Adrian Ramírez & Pengbo Lyu & Edy Abou-Hamad & Jiangtao Jia & Jiantang Li & Prashant M. Bhatt & Zhiyuan Huang & Hao Jiang & Tian Jin & Guillaume Maurin & Jorge Gascon & Mo, 2022.
"Asymmetric pore windows in MOF membranes for natural gas valorization,"
Nature, Nature, vol. 606(7915), pages 706-712, June.
Handle:
RePEc:nat:nature:v:606:y:2022:i:7915:d:10.1038_s41586-022-04763-5
DOI: 10.1038/s41586-022-04763-5
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Citations
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Cited by:
- Boyang Liu & Xiao Chen & Ning Huang & Shaoxiong Liu & Yu Wang & Xiaocheng Lan & Fei Wei & Tiefeng Wang, 2023.
"Imaging the dynamic influence of functional groups on metal-organic frameworks,"
Nature Communications, Nature, vol. 14(1), pages 1-8, December.
- Mei-Ling Liu & Yu Chen & Chuan Hu & Chun-Xu Zhang & Zheng-Jun Fu & Zhijun Xu & Young Moo Lee & Shi-Peng Sun, 2024.
"Microporous membrane with ionized sub-nanochannels enabling highly selective monovalent and divalent anion separation,"
Nature Communications, Nature, vol. 15(1), pages 1-8, December.
- JianHao Qian & HengAn Wu & FengChao Wang, 2023.
"A generalized Knudsen theory for gas transport with specular and diffuse reflections,"
Nature Communications, Nature, vol. 14(1), pages 1-8, December.
- Jiyu Cui & Fang Wu & Wen Zhang & Lifeng Yang & Jianbo Hu & Yin Fang & Peng Ye & Qiang Zhang & Xian Suo & Yiming Mo & Xili Cui & Huajun Chen & Huabin Xing, 2023.
"Direct prediction of gas adsorption via spatial atom interaction learning,"
Nature Communications, Nature, vol. 14(1), pages 1-9, December.
- Shanshan Hong & Maria Vincenzo & Alberto Tiraferri & Erica Bertozzi & Radosław Górecki & Bambar Davaasuren & Xiang Li & Suzana P. Nunes, 2024.
"Precision ion separation via self-assembled channels,"
Nature Communications, Nature, vol. 15(1), pages 1-9, December.
- Tanmoy Maity & Pratibha Malik & Sumit Bawari & Soumya Ghosh & Jagannath Mondal & Ritesh Haldar, 2023.
"Chemically routed interpore molecular diffusion in metal-organic framework thin films,"
Nature Communications, Nature, vol. 14(1), pages 1-8, December.
- Hai Liu & Xinxi Huang & Yang Wang & Baian Kuang & Wanbin Li, 2024.
"Nanowire-assisted electrochemical perforation of graphene oxide nanosheets for molecular separation,"
Nature Communications, Nature, vol. 15(1), pages 1-11, December.
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