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The influence of sorption pressure on gas diffusion in coal particles: An experimental study

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posted on 2024-11-15, 17:08 authored by Xin Yang, Gongda Wang, Junying Zhang, Ting RenTing Ren
Gas pressure changes during the process of coal mine gas drainage and CBM recovery. It is of great importance to understand the influence of sorption pressure on gas diffusion; however, the topic remains controversial in past studies. In this study, four samples with different coal ranks were collected and diffusion experiments were conducted under different pressures through the adsorption and desorption processes. Three widely used models, i.e., the unipore diffusion (UD) model, the bidisperse diffusion (BD) model and the dispersive diffusion (DD) model, were adopted to compare the applicability and to calculate the diffusion coefficients. Results show that for all coal ranks, the BD model and DD model can match the experimental results better than the UD model. Concerning the fast diffusion coefficient Dae of the BD model, three samples display a decreasing trend with increasing gas pressure while the other sample shows a V-type trend. The slow diffusion coefficient Die of BD model increases with gas pressure for all samples, while the ratio β is an intrinsic character of coal and remains constant. For the DD model, the characteristic rate parameter kϕ does not change sharply and the stretching parameter α increases with gas pressure. Both Dae and Die are in proportion to kϕ, which reflect the diffusion rate of gas in the coal. The impacts of pore characteristic on gas diffusion were also analyzed. Although pore size distributions and specific surface areas are different in the four coal samples, correlations are not apparent between pore characteristic and diffusion coefficients.

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Citation

Yang, X., Wang, G., Zhang, J. & Ren, T. (2019). The influence of sorption pressure on gas diffusion in coal particles: An experimental study. Processes, 7 (4), 7040219-1-7040219-17.

Journal title

Processes

Volume

7

Issue

4

Language

English

RIS ID

136689

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