Sorption charateristics of methane among various rank coals: impact of moisture

Nie, Baisheng; Liu, Xianfeng; Yuan, Shaofei; Ge, Boqing; Jia, Wentao; Wang, Chunliang; Chen, Xihui

doi:10.1007/s10450-016-9778-9

Cited by 73 publications

(29 citation statements)

References 59 publications

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“…These parameters are determined based on constant pressure sorption test under specified pressure and temperature [11]. Most researchers claim that the metamorphism degree of the organic substance in coal determines its sorption properties [12][13][14][15][16][17][18]. However, the discrepancies of results of experimental studies show that using the coal rank as the only factor evaluating the sorption capacity of coal is a controversial approach [9,19].…”

Section: Introductionmentioning

confidence: 99%

Synergy of Parameters Determining the Optimal Properties of Coal as a Natural Sorbent

et al. 2020

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Selection of the optimal properties of coal as a natural sorbent, both as a sample collected from a seam or of the coal seam itself, requires various parameters to be determined and may not be based on the knowledge of metamorphism degree only. In order to improve the predictions of sorption capacity and the kinetics, analyses of correlation and multiple regression based on the results of laboratory studies were performed for 15 coal samples with various coal rank. The maximum vitrinite reflectance (R0) for low-rank coals was 0.78%–0.85%, and 0.98%–1.15% and 1.85%–2.03% for medium- and high-rank coals, respectively. Coal samples were subjected to technical and petrographic analysis. The gravimetric method was used to perform sorption tests using methane, in order to determine the sorption capacity and the effective diffusion coefficient for each of the coals. Pycnometric methods were used to determine the textural parameters of coals, such as the percentage porosity and specific pore volume. The studies were further supplemented with an evaluation of the mechanical properties of the coals, Vickers micro-hardness, and elastic modulus. This work shows that the statistical multiple regression method enables a computational model including the selected petrophysical parameters displaying synergy with the specific sorption property—capacity or kinetics—to be created. The results showed the usefulness of this analysis in providing improved predictions of the optimal sorption properties of coal as a natural sorbent.

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Section: Introductionmentioning

confidence: 99%

Synergy of Parameters Determining the Optimal Properties of Coal as a Natural Sorbent

et al. 2020

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“…The pores in coal and other porous materials are commonly divided into three categories based on the pore diameter, following the International Union of Pure and Applied Chemistry (IUPAC) classification, as micropores (≤2 nm in diameter), mesopores (2-50 nm idiameter) and macropores (≥50 nm in diameter) [10]. For coal, the macromolecular structure of organic macerals forms an interconnected pore network, resulting in a broad distribution of pore size [11,12]. Coal structure varies with the degree of maturity of coal as measured by reflectance or volatile matter.…”

Section: Introductionmentioning

confidence: 99%

Surface Properties and Pore Structure of Anthracite, Bituminous Coal and Lignite

et al. 2018

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Properties of coal surface and pore structure are important aspects to be investigated in coal preparation and utilization. In order to investigate the limits of different probe methods, a comprehensive approach was comparatively used to probe surface properties and pore structure of anthracite, bituminous coal and lignite. Surface morphology of the three coal samples was analyzed by scanning electron microscopy (SEM). Combining mercury intrusion porosimetry (MIP), physisorption method with carbon dioxide (CO 2) at 273 K and nitrogen (N 2) at 77 K was used to quantify a broad pore size distribution of coals, while FT-IR and water vapor sorption methods were used to study the coal surface properties. The results show that wedge-shaped pores develop with the increase of coal rank due to compression effect. The determined specific surface area (SSA) and pore volume of N 2 decrease with the increase of coal rank, while CO 2 SSA and pore volume are of a kind of U-shaped function of coal rank. MIP results indicate that that the pore size of 10-100 nm accounted for 70.7-97.5% of the total volume in the macropore range. Comparison of different methods indicates that micropores cannot be fully covered by the standard probes. CO 2 adsorption technique can only probe micropores in the range of 0.5 nm to 0.9 nm. Water vapor is not an effective probe to detect the micropores in coals, due to that the water clusters is mainly filled in mesopores and macropores. The results also show that both water vapor adsorption and FT-IR analysis can provide qualitative information of coal surface, rather than qualification of functional groups.

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“…Previous studies have shown the relationship between pore structure and adsorption capacity of coals [20][21][22][23]. Coal porosity and pore size distribution vary with the maturity of coals [24,25]. Micropores play a dominant role in gas adsorption and a positive correlation between micropore volumes and methane capacity of coals is observed [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 97%

Fractal characteristics of coal samples utilizing image analysis and gas adsorption

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Sorption charateristics of methane among various rank coals: impact of moisture

Cited by 73 publications

References 59 publications

Synergy of Parameters Determining the Optimal Properties of Coal as a Natural Sorbent

Synergy of Parameters Determining the Optimal Properties of Coal as a Natural Sorbent

Surface Properties and Pore Structure of Anthracite, Bituminous Coal and Lignite

Fractal characteristics of coal samples utilizing image analysis and gas adsorption

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