journal article·2020-04-29

Separation of CF4/N2, C2F6/N2, and SF6/N2 Mixtures in Amorphous Activated Carbons Using Molecular Simulations

Xuan Peng, Jose Manuel Vicent-Luna, Qibing Jin

ACS Applied Materials & Interfaces· Volume 12· Issue 17
Publisher page

Abstract

The capture and separation of CF4, C2F6, and SF6 and their mixtures containing nitrogen is a challenging process. To solve this, we propose the use of saccharose coke-based carbons as membranes for the adsorption and separation of these gases. By means of advanced techniques of Monte Carlo and molecular dynamics simulations, we have studied the adsorption and diffusion of CF4, C2F6, and SF6 as well as their mixtures with nitrogen in three HRMC carbon models, namely, CS400, CS1000, and CS1000a. We have computed the adsorption isotherms of the single components and the heat of adsorption as a function of the adsorbed concentration. We have also calculated the competitive adsorption of fluoride molecules and nitrogen at two different molar fractions, 0.1 and 0.9. We have computed the transport properties of the adsorbed gases in terms of the self-diffusivities and corrected diffusivities. The performance of the membranes for the targeted separations has been characterized by the calculation of the permselectivity. Our results indicate that the activated amorphous carbon CS1000a is an efficient adsorbent for the capture of the fluoride adsorbates as well as their purification from nitrogen-based mixtures.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Inorganic Fluorides and Related Compounds · Aerogels and thermal insulation · Membrane Separation and Gas Transport

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China

Department of Physical, Chemical and Natural Systems, Universidad Pablo de Olavide, Ctra. Utrera Km 1, Seville ES-41013, Spain

Center for Computational Energy Research, Department of Applied Physics, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands

Funding

Beijing University of Chemical Technology · National Natural Science Foundation of China

References (57)

Show source-provided references
1. 10.1007/s11814-008-0250-810.1007/s11814-008-0250-8 ↗
2. 10.1021/es071306+10.1021/es071306+ ↗
3. 10.1016/j.micromeso.2011.09.03010.1016/j.micromeso.2011.09.030 ↗
4. 10.1081/SS-12000546510.1081/SS-120005465 ↗
5. 10.1007/s11814-011-0104-710.1007/s11814-011-0104-7 ↗
6. 10.1039/FT995910292910.1039/FT9959102929 ↗
7. 10.1021/la030264+10.1021/la030264+ ↗
8. 10.1021/je050375610.1021/je0503756 ↗
9. 10.1023/A:101127701816210.1023/A:1011277018162 ↗
10. 10.1021/ie000650b10.1021/ie000650b ↗
11. 10.1039/C5CP02407B10.1039/C5CP02407B ↗
12. Juergen, C.; Manfred, N. Advances in Nanoporous Materials; Ernst, S., Ed. Elsevier Science: Oxford, UK, 2009; Volume1, p 336.
13. 10.1021/ie970462u10.1021/ie970462u ↗
14. 10.1002/aic.69043071510.1002/aic.690430715 ↗
15. 10.1021/ie950495e10.1021/ie950495e ↗
16. 10.1016/S0920-5861(01)00270-X10.1016/S0920-5861(01)00270-X ↗
17. 10.1590/sajs.2013/2013002810.1590/sajs.2013/20130028 ↗
18. 10.1021/acs.jpcc.7b0192510.1021/acs.jpcc.7b01925 ↗
19. 10.1016/j.carbon.2006.04.03410.1016/j.carbon.2006.04.034 ↗
20. 10.1021/la053402z10.1021/la053402z ↗
21. 10.1021/acs.jpcc.8b0914310.1021/acs.jpcc.8b09143 ↗
22. 10.1021/la034595y10.1021/la034595y ↗
23. 10.1021/acsanm.9b0163310.1021/acsanm.9b01633 ↗
24. 10.1039/C6SC04978H10.1039/C6SC04978H ↗
25. 10.1039/C0EE00630K10.1039/C0EE00630K ↗
26. 10.1039/B200612J10.1039/B200612J ↗
27. 10.1021/la703434s10.1021/la703434s ↗
28. 10.1021/la901438x10.1021/la901438x ↗
29. 10.1080/08927020400000258410.1080/089270204000002584 ↗
30. 10.1021/jp403929r10.1021/jp403929r ↗
31. 10.1016/j.carbon.2014.09.07710.1016/j.carbon.2014.09.077 ↗
32. 10.1021/es104367210.1021/es1043672 ↗
33. Frenkel D. · 2001
34. 10.1002/aic.69047071910.1002/aic.690470719 ↗
35. 10.1016/S0009-2509(02)00044-110.1016/S0009-2509(02)00044-1 ↗
36. 10.1021/es050587n10.1021/es050587n ↗
37. 10.1007/BF0064888210.1007/BF00648882 ↗
38. 10.1021/jp010597k10.1021/jp010597k ↗
39. 10.1016/S0378-3812(98)00216-710.1016/S0378-3812(98)00216-7 ↗
40. 10.1016/j.fluid.2009.12.01810.1016/j.fluid.2009.12.018 ↗
41. 10.1021/la991581c10.1021/la991581c ↗
42. 10.1021/acsami.8b2044710.1021/acsami.8b20447 ↗
43. 10.1039/C1JM10264H10.1039/C1JM10264H ↗
44. 10.1080/0026897840010120110.1080/00268978400101201 ↗
45. 10.1103/PhysRevA.31.169510.1103/PhysRevA.31.1695 ↗
46. 10.1021/ct700301q10.1021/ct700301q ↗
47. 10.1002/jcc.2029110.1002/jcc.20291 ↗
48. 10.1016/j.softx.2015.06.00110.1016/j.softx.2015.06.001 ↗
49. Páll, S.; Abraham, M. J.; Kutzner, C.; Hess, B.; Lindahl, E. Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS BT - Solving Software Challenges for Exascale; Markidis, S., Laure, E., Eds. Springer International Publishing: Cham, 2015; pp 3–27.10.1007/978-3-319-15976-8_1 ↗
50. 10.1007/s00894010004510.1007/s008940100045 ↗
51. 10.1016/0010-4655(95)00042-E10.1016/0010-4655(95)00042-E ↗
52. 10.1093/bioinformatics/btt05510.1093/bioinformatics/btt055 ↗
53. 10.1016/j.micromeso.2014.02.02810.1016/j.micromeso.2014.02.028 ↗
54. 10.1016/j.cej.2014.09.12310.1016/j.cej.2014.09.123 ↗
55. 10.1016/j.jiec.2019.12.03210.1016/j.jiec.2019.12.032 ↗
56. 10.1021/la960496r10.1021/la960496r ↗
57. 10.1002/aic.1231210.1002/aic.12312 ↗