Abstract
To study the adsorption characteristics of CO, CO2, N2, O2, and their binary-components in lignite coal, reveal the influence of CO2 or N2 injection and air leakage on the desorption of CO in goafs, a lignite model (C206H206N2O44) was established, and the supercell structure was optimized under temperatures of 288.15–318.15 K for molecular simulation. Based on molecular dynamics, the Grand Canonical Monte Carlo method was used to simulate the adsorption characteristics and the Langmuir equation was used to fit the adsorption isotherms of gases. The results show that for single-components, the order of adsorption capacity is CO2 > CO > O2 > N2. For binary-components, the competitive adsorption capacities of CO2 and CO are approximate. In the low-pressure zone, the competitive adsorption capacity of CO2 is stronger than that of CO, and the CO is stronger than N2 or O2. From the simulation, it can be seen that CO2, N2 or O2 will occupy adsorption sites, causing CO desorption. Therefore, to prevent the desorption of the original CO in the goaf, it is not suitable to use CO2 or N2 injection for fire prevention, and the air leakage at the working faces need to be controlled.
Similar content being viewed by others
Introduction
CO is a toxic and harmful gas in a coal mine, which affects the health of miners and restricts the production of coal mines1. For the generation of CO, it is generally considered that CO comes from the oxidation and spontaneous combustion of coal or mine explosion2,3, and no attention has been paid to the desorption of original CO in coal. Therefore, CO is widely used as an index gas to judge spontaneous combustion in many coal mines of China4. However, in recent years, it has been proved that spontaneous combustion of coal is not the only source of CO. In many low-rank coal mines, CO continues to exceed the standard and no signs of spontaneous combustion have been found. The literature shows the CO comes from the coal formation stage in these mines, instead of oxidation or spontaneous combustion5. Affected by mining, part of residual broken coal is left in the goaf, and the CO can desorb under various conditions and spread to the working face, which brings great difficulties to coal mine work. Coal is a porous material with surface area and pore volume, which provides conditions for gas adsorption. Therefore, understanding the CO adsorption mechanism and the adsorption competitive relationship between CO, O2, N2, and CO2 is of great significance to the control of CO in working faces.
Gases present in coal mainly enter through physical adsorption. The adsorption capacity of gas in coal is mainly affected by coal rank6, pore structure7,8, pressure and temperature9, moisture content10, functional groups11. Many scholars have made studies on coal adsorption gases. Tang et al.12 and Meng et al.13 studied the adsorption characteristics of coal to supercritical CO2 and verified the adaptability of the Langmuir equation to the fitting of coal adsorption isotherms, and the adsorption form of supercritical CO2 was analyzed. Zhang et al.14 and Wu et al.15 used a Monte Carlo-based molecular simulation method to study the effect of moisture content on coal adsorption of methane. Zhou et al.16 used molecular simulation methods to study the competitive adsorption characteristics of CO2/CH4/H2O on lignite, while Yu et al.17 further studied the competitive adsorption characteristics of CO2/CH4/H2O in different coal ranks. Gao et al.18 studied the adsorption characteristics of CO2/CH4/N2/H2O single-components and multi-components on lignite. For the adsorption of CO on coal, related research is relatively scarce. Zhu et al.19 conducted experiments to study the generation and release laws of the original CO in coal seams and verified the existence of other CO sources besides spontaneous combustion. Zhang et al.20 also analyzed the CO formation and release rules in mines without spontaneous combustion, and conducted a targeted study on the influence of inertinite and vitrinite on CO adsorption in different coal ranks. Sharma et al.21 investigated the shale gas adsorption and diffusion in inorganic nanopores by molecular simulation. Lin et al.22,23,24,25 studied methane displacement and shale gas molecular dynamics simulation and obtained adsorption characteristics of the gas on graphite and carbon nanotubes, the law of entropy change and enthalpy change, and free energy change in the process of adsorption or displacement. Wang et al.26 discussed the direct air capture of low concentration CO2 by 5A zeolite adsorbent bed combined GCMC and FVM method. Li et al.27,28 discussed the superior selective CO2 adsorption of C3N pores by GCMC and DTF simulations.
The research of scholars mainly focused on the competitive adsorption of CH4, N2, and CO2 by experiments or molecular simulation methods. A few scholars have studied the adsorption characteristics of CO in coal through experiments but did not use molecular simulation to further study the mechanism and the adsorption competitive relationship of CO with other gases on lignite molecules. Here, by using molecular simulation technology based on molecular mechanics and dynamics, it is found that in the mining process, the leakage of fresh air and the injection of fire-prevention gases in the goaf are the reasons for the desorption and diffusion of the original CO. To more clearly compare the adsorption competitive characteristics and capacities of CO and other gases in lignite, this paper establishes supercell structures of lignite and adds CO to the adsorption simulation system for the first time, simulating CO, CO2, N2, O2 and their binary-components. The disadvantages of traditional fire-prevention work for the mines with the original CO desorption are analyzed. The results of this research have played an important guiding role in CO prevention and control in coal mines.
Simulation condition
Establishment of the coal model
The basic unit model of lignite coal (C206H206N2O44)29 is established as shown in Fig. 1. The literature shows that the structure of coal is closely related to temperature, so the normal working temperatures (288.15, 298.15, 303.15, and 313.15 K) of the mine is selected, and the 3D Triclinic Lattice type with fixing angle (α: 90°, β: 90°, γ: 90°) is used. By using the "Forcite" module, the coal unit cell is optimized and annealed, and the charge balance method (QEq) is used to calculate the charge distribution. The unit cell size is a = 41.80 Å, b = 39.46 Å, c = 37.71 Å. Considering that the adsorption of gas molecules may lead to a pore-blocking phenomenon with pore volume decreases in reality30, a probe with a radius of 1.6 Å was used to determine the differences of pore structures. In the simulation, whether the adsorbed molecules cause a pore-blocking phenomenon and reduce the adsorption capacity is controlled by the simulation soft. The Connolly free volume of the optimal supercells at four temperatures are 46,245.14 Å3, 46,321.85 Å3, 46,206.47 Å3, and 46,266.11 Å3, respectively, and the surface areas are 7633.82 Å2, 7603.38 Å2, 7663.65 Å2, and 7195.66 Å2, respectively. As shown in Fig. 2, it can be seen that temperature has a significant influence on the structure of coal molecular unit cells31. Therefore, it is necessary to optimize annealing at different temperatures. When the temperature reaches 308.15 K, the supercell structure has the smallest Connolly free volume and the largest surface area.
Here, the adsorption of CO, CO2, O2, N2, and their binary-components were simulated on the lignite. The adsorption characteristics were determined. By comparing the adsorption characteristics and capacity of CO and other gases, the desorption mechanism of CO and the influences of other gases were analyzed in mines without spontaneous combustion danger.
Relationship between fugacity and pressure
Fugacity of single-components
The temperatures are specified as 288.15, 298.15, 308.15, and 318.15 K, respectively, and the pressures are between 0 and 10 MPa. The conversion between pressure and fugacity is realized by using the Peng-Robinson formula. The physical properties of the four gases are shown in Table 1. The relationship between the fugacity of each gas and the pressure is shown in Fig. 3, where the fugacity coefficient is the ratio of fugacity to pressure.
The fugacity of a single-component is mainly affected by temperature and pressure. Under the same temperature condition, the fugacity coefficient decreases with the increase of pressure; under the same pressure condition, the fugacity coefficient increases with the increase of temperature. In the pressures of 0–10 MPa and the temperatures of 288.15–318.15 K, the fugacity coefficients of CO, O2, and N2 have relatively small changes, between 0.9 and 1.0; while the fugacity coefficient of CO2 changes greatly, between 0.4 and 1.0. This change is mainly due to the high critical temperature of CO2, which is 304.13 K. Therefore, at 288.15 and 298.15 K, when the pressure exceeds critical pressure 7.38 MPa, CO2 changes from a gas to a liquid, the trend of fugacity coefficient is slightly higher than the original trend; At 308.15 K and 318.15 K, when the pressure exceeds critical pressure 7.38 MPa, CO2 gradually enters the supercritical state, the trend of fugacity coefficient is slightly lower than the original trend. The order of the fugacity coefficient of various gases affected by temperature and pressure is CO2 > O2 > CO > N2.
Fugacity of binary-components
At 298.15 K, the fugacity and pressure relationship of the binary-components of CO with other gases are shown in Fig. 4. According to the calculation of the binary-components Peng-Robinson formula32, it can be found that when CO and CO2 are mixed, the fugacity coefficients are greatly affected by the molar ratio. Under a condition of a certain molar ratio, with the increase of pressure, the fugacity coefficient of CO increases, and the fugacity coefficient of CO2 decreases; under a condition of the same pressure, with the increase of temperature, the fugacity coefficients of CO and CO2 both decrease. This is because the CO2 fugacity coefficient is much more affected than CO in the same pressure and temperature. While CO and O2 or N2 form a mixture, the molar ratio has little effect on the fugacity coefficient, and the fugacity point diagrams of the gas at different ratios coincide.
Results and discussion
The “Sorption” module in the molecular simulation software was used to simulate the adsorption of four gases on the lignite coal molecular supercell structure. Based on the GCMC (Grand Classic Monte Carlo) method33, the adsorption isotherms of single-components and binary-components at different temperature conditions are obtained. The “Sorption” module determines the adsorption position based on the annealing principle, selects the Metropolis algorithm, selects the Dreiding force field34 under the charge balance method (QEq)35, selects the Ewald & Group method36 to calculate the electrostatic force, the Atom-based Method36 to calculate van der Waals force. Determine the number of balance steps as 106 and the number of production steps as 2*106 to obtain accurate balance data through the sampling method. When C/D Ratio in the logfile is close to 1, it can be considered that the simulation is accurate.
The unit of adsorption capacity obtained from the simulation results is [average molecules/cell], which is converted to [mmol/g] by Eq. (1):
where \(M_{rcell}\) is the relative molecular mass of the adsorbent in the unit cell.
Single-component adsorption isotherms of CO, CO2, N2, and O2
It shows the adsorption isotherms of CO, CO2, N2, and O2 at 288.15–318.15 K and 0–10 MPa in Fig. 5. The data is fitted to the adsorption isotherm by the Langmuir equation37,38. The Langmuir fitting formula is:
where a represents the limit adsorption capacity of the adsorbate when the pressure tends to infinity, mmol/g; b is the adsorption constant, MPa-1. The simulation results are shown in Table 2, where R2 is the fitting accuracy.
Under the same temperature and pressure conditions, the order of the adsorption capacity of different gases from large to small is CO2 > CO > O2 > N2 (this sequence conforms to the general situation in 0–10 MPa, but at 288.15 K, after 9.5 MPa, the CO adsorption capacity larger than CO2), as shown in Fig. 5. The adsorption capacity of different gases is related to their physical properties. CO2, O2, and N2 are non-polar molecules, and the adsorption capacity is positively related to the critical temperature and critical pressure of the three gases, as shown in Table 1, while CO is a polar molecule with a coordination bond in the molecule, so its adsorption capacity is stronger than N2 and O2, while the critical temperature of CO2 is much greater than that of CO, which is dominant. Finally, the order of adsorption capacity of CO2 > CO > O2 > N2 was got.
Besides, comparing the CO adsorption capacity at different temperatures, it can be found that with the temperature increasing, the adsorption capacity is decreasing, which is also adaptable in the adsorption characteristics of other gases. It can be seen that the oxidation of the residual coal in the goaf will not only produce CO but also cause the desorption of the original CO in the coal. Therefore, it is also necessary to take fire-prevention measures in mines whose coal seams have a large amount of original CO.
Adsorption isotherms of binary-components
Adsorption isotherms of binary-component of CO and CO2
At a temperature of 298.15 K and a pressure of 0–10 MPa, CO and CO2 are mixed at a molar ratio of 0.2:0.8, 0.4:0.6, 0.6:0.4, and 0.8:0.2, and the Langmuir adsorption isotherm obtained is shown in Fig. 6. It can be seen that the adsorption amount of CO and CO2 on the lignite molecular supercell has an obvious relationship with the molar ratio of the binary mixture. The competitive adsorption capacity of the two gases is very close. Comparing molar ratio 0.4 and 0.6 of CO, when the pressure is low, the adsorption capacity of CO2 is better than that of CO; comparing molar ratio 0.2 and 0.8 of CO, when the pressure is high, the adsorption capacity of CO2 is inferior to CO.
In the actual production of coal mines, it is generally difficult to reach a high-pressure state in goaf by pre-injecting CO2 to prevent fire. Therefore, it is believed that the adsorption capacity of CO2 is greater than that of CO in actual production. That is, CO2 is not suitable as a fire-fighting gas in coal mines whose coal seams have a large amount of original CO. CO2 with strong competitive adsorption capacity will occupy the adsorption site, resulting in a large amount of CO desorption in goaf and diffusion in the working surface.
Adsorption isotherms of binary-component of CO and N2
At a temperature of 298.15 K and a pressure of 0–10 MPa, CO and N2 are mixed at a molar ratio of 0.2:0.8, 0.4:0.6, 0.6:0.4, and 0.8:0.2, and the Langmuir adsorption isotherm obtained is shown in Fig. 7. It can be seen that the adsorption amount of CO and N2 on the lignite molecular supercell has an obvious relationship with the molar ratio of the binary mixture. The adsorption capacity of CO is better than that of N2. When the molar ratio is 0.2:0.8, the adsorption amount of N2 is greater than that of CO. When the molar ratio of CO is greater than 0.4, the adsorption amount of CO is significantly higher than that of N2.
In the actual production of coal mines with a large amount of original occurrence CO, N2 injection is not used as much as possible to prevent fire. Although the adsorption capacity of N2 is lower than that of CO, it will still interfere with the adsorption of CO and cause part of the CO to desorb; If the goaf must be pre-injected to prevent fire, the effect of N2 is better than CO2. The relatively weak competitive adsorption capacity of N2 can not only reduce the oxygen concentration in the goaf but also occupy a few adsorption sites.
Adsorption isotherms of binary-component of CO and O2
At a temperature of 298.15 K and a pressure of 0–10 MPa, CO and O2 are mixed at a molar ratio of 0.2:0.8, 0.4:0.6, 0.6:0.4, and 0.8:0.2, and the Langmuir adsorption isotherms obtained are shown in Fig. 8. It can be seen that the result is similar to CO and N2 on the lignite molecular supercell. The adsorption capacity of CO is better than that of O2. When the molar ratio is 0.2:0.8, the adsorption amount of O2 is higher than that of CO; When the CO molar ratio is greater than 0.4, the CO adsorption amount is significantly higher than O2.
In the actual production of coal mines with a large amount of original CO, the air leakage control at the working faces and other locations should be strengthened to reduce fresh air entering the goafs. Although the adsorption capacity of O2 is not as good as that of CO, it will still interfere with the adsorption of CO and cause some CO to desorb.
Single-component adsorption isosteric heats
The isosteric heat of adsorption reflects the strength of the interaction between adsorbate and adsorbent. The higher the isosteric heat of adsorption, the stronger the interaction between adsorbate and adsorbent. When the isosteric heat of adsorption is less than 41.84 kJ/mol, the adsorption form is only physical adsorption, no chemical adsorption. When the temperature is 298.15 K and the pressure is 0–10 MPa, the isosteric heats of adsorption of CO, CO2, N2, and O2 are shown in Fig. 9. As the pressure increases, the adsorption heat of each gas first decreases and then increases, but the maximum value is still at the lowest pressure (0.1 MPa) and less than 41.84 kJ/mol, indicating that each gas is adsorbed at the initial pressure and has the strongest interaction with coal, and there is no chemical adsorption. The isosteric heat of CO adsorption at temperatures of 288.15, 298.15, 308.15, and 318.15 K and pressure 0–10 MPa is shown in Fig. 10. It can be seen that in the pressure 0–2 MPa and the temperature 308.15 K, the isosteric heat of adsorption is the largest, and CO has the strongest interaction with coal; in the pressure 2–10 MPa, when the temperature is 288.15 K, the isosteric heat of adsorption is the largest, and CO has the strongest interaction with coal; when the temperature is 318.15 K, the isosteric heat of adsorption is always smallest, which further shows that high temperature is not conducive to CO adsorption, that is, it will cause CO desorption.
Conclusion
-
(1)
Lignite molecules have different structures at different temperatures. In this paper, the lignite molecules are annealed and optimized at the normal temperature range (288.15, 298.15, 308.15, and 318.15 K) of working surfaces, and the lignite unit cell structure under the temperature step is obtained. Through the adsorption study of CO, CO2, N2, and O2, the Langmuir equation of adsorption capacity and pressure load was found. The order of adsorption capacity of different gases at 0–10 MPa pressure is CO2 > CO > O2 > N2.
-
(2)
For the CO/CO2 binary-components, the competitive adsorption capacity of CO2 is stronger than that of CO; for the CO/N2 and CO/O2 binary-components, even if the molar ratio of N2 or O2 reaches 0.6, its adsorption capacity is still significantly smaller than that of CO, indicating that the competitive adsorption of CO in the binary-component is stronger than that of N2 or O2.
-
(3)
For coal seams with a large amount of original CO, coal mines should adopt other measures to prevent fires in goafs, such as grouting. It is best not to use N2 or CO2 injection to prevent fires. At the same time, air leakage control in goafs should be strengthened. To prevent CO2, N2, and O2 from occupying adsorption sites and prevent the oxidation and heating of the residual coal, so that prevent the adsorbed CO in residual coal from desorbing and diffusing to the work face.
Data availability
All data generated or analysed during this study are included in this published article (and its Supplementary Information files).
References
Goldbaum, L., Orellano, T. & Dergal, E. Mechanism of the toxic action of carbon monoxide. Ann. Clin. Lab. Sci. 6, 372–376 (1976).
Zhou, L., Yuan, L., Bahrami, D., Thomas, R. A. & Rowland, J. H. Numerical and experimental investigation of carbon monoxide spread in underground mine fires. J. Fire Sci. 36, 406–418 (2018).
Zhuo, H., Qin, B., Qin, Q. & Su, Z. Modeling and simulation of coal spontaneous combustion in a gob of shallow buried coal seams. Process Saf. Environ. Prot. 131, 246–254 (2019).
Wen, H., Yu, Z., Fan, S., Zhai, X. & Liu, W. Prediction of spontaneous combustion potential of coal in the gob area using CO extreme concentration: A case study. Combust. Sci. Technol. 189, 1713–1727 (2017).
Wieckowski, M., Howaniec, N. & Smolinski, A. Natural desorption of carbon monoxide during the crushing of coal simulating natural rock mass pressure. Sci. Total. Environ. 736, 139639. https://doi.org/10.1016/j.scitotenv.2020.139639 (2020).
Wang, Y., Liu, D., Cai, Y. & Li, X. Variation of petrophysical properties and adsorption capacity in different rank coals: An experimental study of coals from the Junggar, Ordos and Qinshui Basins in China. Energies 12, 986 (2019).
Nie, B., Liu, X., Yang, L., Meng, J. & Li, X. Pore structure characterization of different rank coals using gas adsorption and scanning electron microscopy. Fuel 158, 908–917 (2015).
Chen, S. et al. Pore structure characterization of different rank coals using N2 and CO2 adsorption and its effect on CH4 adsorption capacity: A case in Panguan syncline, western Guizhou, China. Energy Fuels 31, 6034–6044 (2017).
Liu, Y., Zhu, Y., Liu, S., Li, W. & Tang, X. Temperature effect on gas adsorption capacity in different sized pores of coal: Experiment and numerical modeling. J. Pet. Sci. Eng. 165, 821–830 (2018).
Zhang, Z.-G. et al. Effect of moisture content on methane adsorption-and desorption-induced deformation of tectonically deformed coal. Adsorp. Sci. Technol. 36, 1648–1668 (2018).
Dang, Y. et al. Molecular simulation of CO2/CH4 adsorption in brown coal: Effect of oxygen-, nitrogen-, and sulfur-containing functional groups. Appl. Surf. Sci. 423, 33–42 (2017).
Tang, X. & Ripepi, N. High pressure supercritical carbon dioxide adsorption in coal: Adsorption model and thermodynamic characteristics. J. Catal. 18, 189–197 (2017).
Meng, M. et al. Adsorption characteristics of supercritical CO2/CH4 on different types of coal and a machine learning approach. Chem. Eng. J. 368, 847–864 (2019).
Zhang, J., Clennell, M., Dewhurst, D. & Liu, K. Combined Monte Carlo and molecular dynamics simulation of methane adsorption on dry and moist coal. Fuel 122, 186–197 (2014).
Wu, S., Deng, C. & Wang, X. Molecular simulation of flue gas and CH4 competitive adsorption in dry and wet coal. J. Nat. Gas Sci. Eng. 71, 102980 (2019).
Zhou, W., Wang, H., Zhang, Z., Chen, H. & Liu, X. Molecular simulation of CO2/CH4/H2O competitive adsorption and diffusion in brown coal. RSC Adv. 9, 3004–3011 (2019).
Yu, S., Bo, J. & Wu, L. Molecular simulation of CH4/CO2/H2O competitive adsorption on low rank coal vitrinite. Phys. Chem. Chem. Phys. 19, 17773–17788 (2017).
Gao, D., Hong, L., Wang, J. & Zheng, D. Molecular simulation of gas adsorption characteristics and diffusion in micropores of lignite. Fuel 269, 117443 (2020).
Zhu, H., Chang, M. & Wang, H. Study on primal CO gas generation and emission of coal seam. Int. J. Min. Sci. Technol. 27, 973–979 (2017).
Zhang, J., Guo, L., Zhou, X. & Wang, Y. Effect of inertinite and vitrinite of coal samples on carbon monoxide absorption by coal seams. J. China Coal Soc. 12, 32 (2007).
Sharma, A., Namsani, S. & Singh, J. K. Molecular simulation of shale gas adsorption and diffusion in inorganic nanopores. Mol. Simul. 41, 414–422 (2015).
Lin, K. & Zhao, Y.-P. Entropy and enthalpy changes during adsorption and displacement of shale gas. Energy 221, 119854 (2021).
Lin, K., Yuan, Q., Zhao, Y.-P. & Cheng, C. Which is the most efficient candidate for the recovery of confined methane: Water, carbon dioxide or nitrogen?. Extreme Mech. Lett. 9, 127–138 (2016).
Lin, K., Yuan, Q. & Zhao, Y.-P. Using graphene to simplify the adsorption of methane on shale in MD simulations. Comput. Mater. Sci. 133, 99–107 (2017).
Lin, K., Huang, X. & Zhao, Y.-P. Combining image recognition and simulation to reproduce the adsorption/desorption behaviors of shale gas. Energy Fuels 34, 258–269 (2019).
Wang, H., Qu, Z., Bai, J. & Qiu, Y. Combined grand canonical Monte Carlo and finite volume method simulation method for investigation of direct air capture of low concentration CO2 by 5A zeolite adsorbent bed. Int. J. Heat Mass Transf. 126, 1219–1235 (2018).
Li, X. et al. Charge-modulated CO2 capture of C3N nanosheet: Insights from DFT calculations. Chem. Eng. J. 338, 92–98 (2018).
Li, X. et al. Superior selective CO2 adsorption of C3N pores: GCMC and DFT simulations. ACS Appl. Mater. Interfaces 9, 31161–31169 (2017).
Zhu, H. et al. Molecular simulation study on adsorption and diffusion behaviors of CO2/N2 in lignite. ACS Omega 5, 29416–29426 (2020).
Huang, X., Zhao, Y.-P., Wang, X. & Pan, L. Adsorption-induced pore blocking and its mechanisms in nanoporous shale due to interactions with supercritical CO2. J. Pet. Sci. Eng. 178, 74–81 (2019).
Huang, X. & Zhao, Y.-P. Characterization of pore structure, gas adsorption, and spontaneous imbibition in shale gas reservoirs. J. Pet. Sci. Eng. 159, 197–204 (2017).
Peng, D.-Y. & Robinson, D. B. A new two-constant equation of state. Ind. Eng. Chem. Res. 15, 59–64 (1976).
Shugang, L., Yang, B., Haifei, L., Min, Y. & Hang, L. Molecular simulation of adsorption thermodynamics of multicomponent gas in coal. J. China Coal Soc. 43, 2476–2483 (2018).
Mayo, S. L., Olafson, B. D. & Goddard, W. A. DREIDING: A generic force field for molecular simulations. J. Phys. chem. 94, 8897–8909 (1990).
Takanohashi, T., Iino, M. & Nakamura, K. Simulation of interaction of coal associates with solvents using the molecular dynamics calculation. Energy Fuels 12, 1168–1173 (1998).
Karasawa, N. & Goddard, W. A. III. Force fields, structures, and properties of poly (vinylidene fluoride) crystals. Macromolecules 25, 7268–7281 (2002).
Qiao, L., Deng, C. & Fan, Y. Numerical simulation study on CO2 storage in coalbed. Energy Sources Part A 42, 446–459 (2020).
Fan, N. et al. Numerical study on enhancing coalbed methane recovery by injecting N2/CO2 mixtures and its geological significance. Energy Sci. Eng. 8, 1104–1119 (2020).
Acknowledgements
This project is supported by the National Natural Science Foundation of China (Grant No. 51574143 and No. 51974149).
Author information
Authors and Affiliations
Contributions
J.Z.: Conceptualization, Software, Original draft writing; J.W. & C.Z.: Review & Editing, Funding acquisition; Z.L.: Review & Editing, Resources; J.Z. & B.L.: Review.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Zhang, J., Wang, J., Zhang, C. et al. Molecular simulation of gases competitive adsorption in lignite and analysis of original CO desorption. Sci Rep 11, 11706 (2021). https://doi.org/10.1038/s41598-021-91197-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-021-91197-0
- Springer Nature Limited
This article is cited by
-
Evolution of pore characteristics and methane adsorption characteristics of Nanshan 1/3 coking coal under different stresses
Scientific Reports (2022)
-
Experimental and simulation study on the delayed release of CO in the initial stage of the low-temperature oxidation of coal
Scientific Reports (2022)