Literature DB >> 19039342

Molecular simulations for adsorption and separation of natural gas in IRMOF-1 and Cu-BTC metal-organic frameworks.

Ana Martín-Calvo1, Elena García-Pérez, Juan Manuel Castillo, Sofia Calero.   

Abstract

We use Monte Carlo simulations to study the adsorption and separation of the natural gas components in IRMOF-1 and Cu-BTC metal-organic frameworks. We computed the adsorption isotherms of pure components, binary, and five-component mixtures analyzing the siting of the molecules in the structure for the different loadings. The bulk compositions studied for the mixtures were 50 : 50 and 90 : 10 for CH4-CO2, 90 : 10 for N2-CO2, and 95 : 2.0 : 1.5 : 1.0 : 0.5 for the CH4-C2H6-N2-CO2-C3H8 mixture. We choose this composition because it is similar to an average sample of natural gas. Our simulations show that CO2 is preferentially adsorbed over propane, ethane, methane and N2 in the complete pressure range under study. Longer alkanes are favored over shorter alkanes and the lowest adsorption corresponds to N2. Though IRMOF-1 has a significantly higher adsorption capacity than Cu-BTC, the adsorption selectivity of CO2 over CH4 and N2 is found to be higher in the latter, proving that the separation efficiency is largely affected by the shape, the atomic composition and the type of linkers of the structure.

Entities:  

Year:  2008        PMID: 19039342     DOI: 10.1039/b807470d

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  3 in total

1.  Molecular simulations of adsorption of RDX and TATP on IRMOF-1(Be).

Authors:  Andrea Michalkova Scott; Tetyana Petrova; Khorgolkhuu Odbadrakh; Donald M Nicholson; Miguel Fuentes-Cabrera; James P Lewis; Frances C Hill; Jerzy Leszczynski
Journal:  J Mol Model       Date:  2012-01-21       Impact factor: 1.810

2.  Removal of hydrogen sulfide from a binary mixture with methane gas, using IRMOF-1: a theoretical investigation.

Authors:  Nailton M Rodrigues; Lucas J Dos Santos; Edna S M Rodrigues; João B L Martins
Journal:  J Mol Model       Date:  2021-08-07       Impact factor: 1.810

3.  X-Nuclei NMR Self-Diffusion Studies in Mesoporous Silica Foam and Microporous MOF CuBTC.

Authors:  Stefan Schlayer; Anne-Kristin Pusch; Friederike Pielenz; Steffen Beckert; Mikuláš Peksa; Carsten Horch; Lutz Moschkowitz; Wolf-Dietrich Einicke; Frank Stallmach
Journal:  Materials (Basel)       Date:  2012-04-12       Impact factor: 3.623

  3 in total

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