Computational Identification and Experimental Demonstration of High-Performance Methane Sorbents

被引:24
作者
Nath, Karabi [1 ,2 ]
Ahmed, Alauddin [3 ,4 ,5 ]
Siegel, Donald J. [3 ,4 ,5 ,6 ,7 ]
Matzger, Adam J. [1 ,2 ]
机构
[1] Univ Michigan, Dept Chem, 930 North Univ Ave, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Macromol Sci & Engn Program, 930 North Univ Ave, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Mech Engn Dept, Ann Arbor, MI 48109 USA
[4] Univ Michigan, Appl Phys Program, Mat Sci & Engn, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Energy Inst, Ann Arbor, MI 48109 USA
[6] Univ Texas Austin, Texas Mat Inst, Walker Dept Mech Engn, 204 E Dean Keeton St,ETC II 5-160, Austin, TX 78712 USA
[7] Univ Texas Austin, Oden Inst Computat Engn & Sci, 204 E Dean Keeton St,ETC II 5-160, Austin, TX 78712 USA
关键词
Computational Screening; Deliverable Capacity; Interatomic Potentials; Metal Organic Framework (MOF); Methane Storage; METAL-ORGANIC FRAMEWORKS; HIGH DELIVERABLE CAPACITY; NATURAL-GAS; MOLECULAR-DYNAMICS; FORCE-FIELD; STORAGE; POROSITY; DESIGN; LIMITS; MOFS;
D O I
10.1002/anie.202203575
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Remarkable methane uptake is demonstrated experimentally in three metal-organic frameworks (MOFs) identified by computational screening: UTSA-76, UMCM-152 and DUT-23-Cu. These MOFs outperform the benchmark sorbent, HKUST-1, both volumetrically and gravimetrically, under a pressure swing of 80 to 5 bar at 298 K. Although high uptake at elevated pressure is critical for achieving this performance, a low density of high-affinity sites (coordinatively unsaturated metal centers) also contributes to a more complete release of stored gas at low pressure. The identification of these MOFs facilitates the efficient storage of natural gas via adsorption and provides further evidence of the utility of computational screening in identifying overlooked sorbents.
引用
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页数:6
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