Abstract
The efficient separation of CH4/N2 using activated carbon depends on the strict regulation of carbon pore structure. However, the relationship between pore structure and separation performance remains inadequately explored in the literature. This study employed a sample set comprising 38 coal-based granular activated carbons with diverse pore structural parameters to investigate the impact of pore size distribution on CH4/N2 separation using advanced statistical methods. Through Pearson’s correlation analysis, this study reveals that the effective pores for CH4/N2 separation in coal-based activated carbon are those with diameters less than 1 nm, with the optimal pore size range being 0.4–0.7 nm. A novel pore structural parameter, effective pore percentage, was proposed, which exhibits a stronger correlation to separation performance and predicts the separation performance of the activated carbon more accurately than commonly used parameters. Ridge regression analysis revealed that a high proportion of effective pores (< 1 nm) generally results in higher separation efficiency, while an excessively high proportion of larger pores (> 1 nm) can diminish the separation performance of CH4/N2. This study has important implications for investigating the separation mechanism of coal-based activated carbon for CH4/N2 and for developing efficient coal-based activated carbon for purifying coalbed gas.
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References
Govindarajan AMSK (2020) Methane gas production from a coal bed methane reservoir: an overview. J Oil Gas Coal Eng 5:39–46
Zhang J, Qu S, Li L, Wang P, Li X, Che Y, Li X (2018) Preparation of carbon molecular sieves used for CH4/N2 separation. J Chem Eng Data 63:1737–1744. https://doi.org/10.1021/acs.jced.8b00048
Zheng Y, Li Q, Yuan C, Tao Q, Zhao Y, Zhang G, Liu J (2019) Influence of temperature on adsorption selectivity: coal-based activated carbon for CH4 enrichment from coal mine methane. Powder Technol 347:42–49. https://doi.org/10.1016/j.powtec.2019.02.042
Hu G, Zhao Q, Tao L, Xiao P, Webley PA, Li KG (2021) Enrichment of low grade CH4 from N2/CH4 mixtures using vacuum swing adsorption with activated carbon. Chem Eng Sci 229:116152. https://doi.org/10.1016/j.ces.2020.116152
Liu C, Zhou Y, Sun Y, Su W, Zhou L (2011) Enrichment of coal-bed methane by PSA complemented with CO2 displacement. AIChE J 57:645–654. https://doi.org/10.1002/aic.12305
Gu M, Zhang B, Qi Z, Liu Z, Duan S, Du X, Xian X (2015) Effects of pore structure of granular activated carbons on CH4 enrichment from CH4/N2 by vacuum pressure swing adsorption. Sep Purif Technol 146:213–218. https://doi.org/10.1016/j.seppur.2015.03.051
Olajossy A, Gawdzik A, Budner Z, Dula J (2003) Methane separation from coal mine methane gas by vacuum pressure swing adsorption. Chem Eng Res Des 81:474–482. https://doi.org/10.1205/026387603765173736
Yi H, Li F, Ning P, Tang X, Peng J, Li Y, Deng H (2013) Adsorption separation of CO2, CH4, and N2 on microwave activated carbon. Chem Eng J 215–216:635–642. https://doi.org/10.1016/j.cej.2012.11.050
Kennedy DA, Tezel FH (2018) Cation exchange modification of clinoptilolite-screening analysis for potential equilibrium and kinetic adsorption separations involving methane, nitrogen, and carbon dioxide. Micropor Mesopor Mat 262:235–250. https://doi.org/10.1016/j.micromeso.2017.11.054
Avijegon G, Xiao G, Li G, May EF (2018) Binary and ternary adsorption equilibria for CO2/CH4/N2 mixtures on zeolite 13X beads from 273 to 333K and pressures to 900KPa. Adsorption 24:381–392. https://doi.org/10.1007/s10450-018-9952-3
Cavenati S, Grande CA, Rodrigues AE (2005) Layered pressure swing adsorption for methane recovery from CH4/CO2/N2 streams. Adsorption 11:549–554. https://doi.org/10.1007/s10450-005-5983-7
Tang R, Dai Q, Liang W, Wu Y, Zhou X, Pan H, Li Z (2020) Synthesis of novel particle rice-based carbon materials and its excellent CH4/N2 adsorption selectivity for methane enrichment from low-rank natural gas. Chem Eng J 384:123388. https://doi.org/10.1016/j.cej.2019.123388
Wang SM, Wu PC, Fu JW, Yang QY (2021) Heteroatom-doped porous carbon microspheres with ultramicropores for efficient CH4/N2 separation with ultra-high CH4 uptake. Sep Purif Technol 274:119121. https://doi.org/10.1016/j.seppur.2021.119121
Liu F, Zhang Y, Zhang P, Xu M, Tan T, Wang J, Deng Q, Zhang L, Wan Y, Deng S (2020) Facile preparation of N and O-rich porous carbon from palm sheath for highly selective separation of CO2/CH4/N2 gas-mixture. Chem Eng J 399:125812. https://doi.org/10.1016/j.cej.2020.125812
Yang Z, Ning H, Liu J, Meng Z, Li Y, Ju X, Chen Z (2020) Surface modification on semi-coke-based activated carbon for enhanced separation of CH4/N2. Chem Eng Res Des 161:312–321. https://doi.org/10.1016/j.cherd.2020.07.025
Liu X, Li Q, Zhang G, Ma X, Zhu P, Li X (2022) Characterization of activated carbon precursors prepared by dry-air oxidant and its effects on the adsorptions of activated carbon. Fuel 31:123723. https://doi.org/10.1016/j.fuel.2022.123723
Yang Z, Wang D, Meng Z, Li Y (2019) Adsorption separation of CH4/N2 on modified coal-based carbon molecular sieve. Sep Purif Technol 218:130–137. https://doi.org/10.1016/j.seppur.2019.02.048
Qadir S, Gu Y, Ali S, Li D, Zhao S, Wang S, Xu H, Wang S (2022) A thermally stable isoquinoline based ultra-microporous metal-organic framework for CH4 separation from coal mine methane. Chem Eng J 428:131136. https://doi.org/10.1016/j.cej.2021.131136
Li Y, Wang S, Wang B, Wang Y, Wei J (2020) Sustainable biomass glucose-derived porous carbon spheres with high nitrogen doping: as a promising adsorbent for CO2/CH4/N2 adsorptive separation. Nanomater Basel 10:174. https://doi.org/10.3390/nano10010174
Li Y, Xu R, Wang B, Wei J, Wang L, Shen M, Yang J (2019) Enhanced N-doped porous carbon derived from KOH-activated waste wool: a promising material for selective adsorption of CO2/CH4 and CH4/N2. Nanomater Basel 9:266. https://doi.org/10.3390/nano9020266
Zhao GF, Bai P, Zhu HM, Yan RX, Liu XM, Yan ZF (2008) The modification of activated carbons and the pore structure effect on enrichment of coal-bed methane. Asia-Pac J Chem Eng 3:284–291. https://doi.org/10.1002/apj.147
Zhang B, Huang Z, Liu P, Liu J, Gu M (2022) Influence of pore structure of granular activated carbon prepared from anthracite on the adsorption of CO2, CH4 and N2. Korean J Chem Eng 39:724–735. https://doi.org/10.1007/s11814-021-0948-4
Yuan D, Zheng Y, Li Q, Lin B, Zhang G, Liu J (2018) Effects of pore structure of prepared coal-based activated carbons on CH4 enrichment from low concentration gas by IAST method. Powder Technol 333:377–384. https://doi.org/10.1016/j.powtec.2018.04.045
Hamyali H, Nosratinia F, Rashidi A, Ardjmand M (2022) Anthracite coal-derived activated carbon as an effectiveness adsorbent for superior gas adsorption and CO2/N2 and CO2/CH4 selectivity: experimental and DFT study. J Environ Chem Eng 10:107007. https://doi.org/10.1016/j.jece.2021.107007
Chang M, Ren J, Yang Q, Liu D (2021) A robust calcium-based microporous metal-organic framework for efficient CH4/N2 separation. Chem Eng J 408:127294. https://doi.org/10.1016/j.cej.2020.127294
Mohammadi M, Najafpour G, Mohamed A (2011) Production of carbon molecular sieves from palm shell through carbon deposition from methane. Chem Ind Chem Eng Q 17:525–533. https://doi.org/10.2298/CICEQ110506038M
Cui X, Bustin RM, Dipple G (2004) Selective transport of CO2, CH4, and N2 in coals: insights from modeling of experimental gas adsorption data. Fuel 83:293–303. https://doi.org/10.1016/j.fuel.2003.09.001
Jasra RV, Choudary NV, Bhat SGT (1991) Separation of gases by pressure swin. Sep Sci Technol 26:885–930. https://doi.org/10.1080/01496399108050504
Alonso-Vicario A, Ochoa-Gómez JR, Gil-Río S, Gómez-Jiménez-Aberasturi O, Ramírez-López CA, Torrecilla-Soria J, Domínguez A (2010) Purification and upgrading of biogas by pressure swing adsorption on synthetic and natural zeolites. Micropor Mesopor Mat 134:100–107. https://doi.org/10.1016/j.micromeso.2010.05.014
Cai Z, Zhang Z, Jiang X (2022) Composition analysis and identification of glass products based on Pearson correlation analysis. Highlights Sci Eng Technol 22:174–186
Yang Q, Kang Q, Huang Q, Cui Z, Bai Y, Wei H (2021) Linear correlation analysis of ammunition storage environment based on Pearson correlation analysis. J Phys Conf Ser 1948:012064. https://doi.org/10.1088/1742-6596/1948/1/012064
Oghenekevwe Etaga H, Chibotu Ndubisi R, Lilian Oluebube N (2021) Effect of multicollinearity on variable selection in multiple regression. Sci J Appl Math Stat 9:141–153. https://doi.org/10.11648/j.sjams.20210906.12
Rokem A, Kay K (2020) Fractional ridge regression: a fast, interpretable reparameterization of ridge regression. Gigascience 9:1–12. https://doi.org/10.1093/gigascience/giaa133
Abdulhafedh A (2022) Modeling vehicle crash frequency when multicollinearity exists in vehicle crash data: ridge regression versus ordinary least squares linear regression. OALib 9:1–17. https://doi.org/10.4236/oalib.1108873
Wang FY, Zhu ZH, Massarotto P, Rudolph V (2007) Mass transfer in coal seams for CO2 sequestration. AIChE J 53:1028–1049. https://doi.org/10.1002/aic.11115
Acknowledgements
This work was supported by the Chongqing Science and Technology Commission Projects (grant nos. cstc2018jcyj-yszxX0005, and cstc2020yszx-jcyjX0008).
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RX and ZS participated in the design of the whole study; RX contributed to writing this manuscript and organizing all the experiments; XX and MG reviewed the final paper and made important suggestions and recommendations for paper; ZS contributed to analyzing the data and treatment of experimental samples.
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Appendix 1 Pore structure characteristics of 38 coal-based AC samples.
Appendix 1 Pore structure characteristics of 38 coal-based AC samples.
Sample | SBET (m2 g−1) | Vt (cm3 g−1) | APD (nm) | α | Sample | SBET (m2 g−1) | Vt (cm3 g−1) | APD (nm) | α |
---|---|---|---|---|---|---|---|---|---|
A-1 | 123.81 | 0.07 | 2.10 | 1.04 | A-20 | 788.80 | 0.40 | 2.04 | 1.31 |
A-2 | 280.76 | 0.12 | 1.72 | 1.75 | A-21 | 1367.38 | 0.85 | 2.47 | 1.46 |
A-3 | 493.67 | 0.20 | 1.63 | 2.40 | L-1 | 40.21 | 0.04 | 3.65 | 1.14 |
A-4 | 587.73 | 0.24 | 1.62 | 2.93 | L-2 | 12.06 | 0.01 | 3.98 | 1.06 |
A-5 | 631.60 | 0.26 | 1.66 | 2.22 | L-3 | 2.35 | 0.00 | 5.03 | 1.02 |
A-6 | 698.66 | 0.30 | 1.70 | 2.67 | L-4 | 234.25 | 0.14 | 2.46 | 1.00 |
A-7 | 895.21 | 0.38 | 1.71 | 2.65 | L-5 | 232.45 | 0.14 | 2.49 | 2.31 |
A-8 | 476.60 | 0.21 | 1.76 | 2.88 | L-6 | 389.70 | 0.24 | 2.47 | 2.05 |
A-9 | 333.72 | 0.18 | 2.12 | 2.88 | L-7 | 626.51 | 0.17 | 1.08 | 2.15 |
A-10 | 608.18 | 0.25 | 1.67 | 2.75 | L-8 | 327.38 | 0.19 | 2.30 | 2.36 |
A-11 | 679.43 | 0.29 | 1.72 | 2.53 | L-9 | 233.00 | 0.17 | 2.91 | 1.43 |
A-12 | 715.14 | 0.31 | 1.74 | 2.46 | L-10 | 343.52 | 0.28 | 3.22 | 2.10 |
A-13 | 840.52 | 0.36 | 1.71 | 2.47 | L-11 | 240.74 | 0.25 | 4.11 | 1.46 |
A-14 | 1211.74 | 0.57 | 1.88 | 2.16 | L-12 | 462.09 | 0.25 | 2.20 | 3.18 |
A-15 | 738.88 | 0.32 | 1.73 | 2.40 | L-13 | 508.85 | 0.40 | 3.12 | 2.52 |
A-16 | 1141.79 | 0.53 | 1.87 | 2.10 | L14 | 444.88 | 0.32 | 2.91 | 2.32 |
A-17 | 999.34 | 0.45 | 1.82 | 2.03 | L-15 | 512.86 | 0.42 | 3.26 | 2.26 |
A-18 | 554.00 | 0.27 | 1.97 | 1.98 | L-16 | 516.26 | 0.29 | 2.22 | 2.96 |
A-19 | 1150.54 | 0.55 | 1.93 | 1.76 | L-17 | 602.42 | 0.53 | 3.50 | 2.66 |
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Xu, R., Xian, X., Song, Z. et al. The impact of effective pore percentage on CH4/N2 separation in coal-based activated carbon. J Mater Sci 58, 13635–13648 (2023). https://doi.org/10.1007/s10853-023-08869-7
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DOI: https://doi.org/10.1007/s10853-023-08869-7