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Computational screening of metal-organic frameworks with open copper sites for hydrogen purification
Affiliation:1. School of Chemistry, Chemical Engineering, and Life Sciences, Wuhan University of Technology, Wuhan, 430070, China;2. School of Chemistry and Chemical Engineering, Guangzhou University, 230, Guangzhou University City Outer Ring Road, Guangzhou, 510006, China;3. School of Materials Science and Engineering, Zhengzhou University, Zhengzhou, 450002, China;1. CICECO – Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal;2. Crystallography Group, Department of Geosciences, University of Bremen, Klagenfurter Straße 2-4, 28359 Bremen, Germany;3. MAPEX Center for Materials and Processes, University of Bremen, Bibliotheksstraße 1, 28359 Bremen, Germany;4. Department of Chemical and Process Engineering, University of Strathclyde, 75 Montrose Street, Glasgow G1 1XJ, United Kingdom;1. State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing 100029, China;2. Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China;3. State Key Laboratory of Separation Membranes and Membrane Processes, TianGong University, Tianjin 300387, China;1. MOE Key Laboratory of Green Chemistry and Technology, College of Chemistry, Sichuan University, Chengdu, Sichuan, 610064, PR China;2. Analytical &Testing Center, Sichuan University, Chengdu, Sichuan, 610064, PR China;3. Research Center for Materials Genome Engineering, Sichuan University, Chengdu, Sichuan, 610065, PR China
Abstract:With the increasing demand for environmental protection worldwide, metal-organic frameworks (MOFs) have been pivotal in the clean energy domain. Due to the high surface areas, large porosities and structural tunability, they are promising for the adsorption separation of H2/CH4 mixtures. High-throughput computational screening was adopted to identify the optimal adsorbents for hydrogen purification from 502 MOFs with open copper sites. Firstly, the adsorption performance of H2/CH4 mixture in 440 MOFs, which exhibit non-zero surface area and over -3.8 Å largest cavity diameter (LCD), was calculated using grand canonical Monte Carlo (GCMC) simulations at 300 K and various pressures. Secondly, we identified the top 9 high-performance MOFs by evaluating the ranking of candidate adsorbent performance according to a combination metric of adsorption performance score (APS, the product of adsorption capacity of CH4 and selectivity of CH4 over H2) and percent regenerability (R%). PCN-39 and MOF-505 exhibit high APS of 101 mol kg−1 and 67.9 mol kg−1, respectively, promising for hydrogen purification. Subsequently, the breakthrough curves of H2/CH4 mixture through the fixed bed packed with some optimal MOFs were predicted to evaluate their effects in practical hydrogen purification. UMODEH08 or UMOBEF04 exhibits the long dimensionless residence time over 30 of CH4 for the H2/CH4 separation. Finally, we also explored the behaviors of the radial distribution functions (RDF) and adsorption equilibrium configurations to further demonstrate how the selected MOFs differentiate CH4 from H2. The investigation on all these observations at molecular level will pave the way for the development of new materials for clean energy applications.
Keywords:Metal-organic framework  Hydrogen purification  Adsorption separation  Breakthrough prediction  Open copper site
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