Coupling Model of Adsorption Capacity-Temperature-Pressure and Its Prediction for Methane Adsorption on Coals

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2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1379 ))

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Abstract

The Langmuir adsorption model cannot well describe the methane adsorption characteristics of dark lignite and meta-anthracite. Aiming to solve this problem, an adsorption model was derived on the basis of adsorption potential theory. Its prediction capacity was also studied in terms of methane adsorption isotherms on a wide variety of coals and anthracite samples at temperature between 20 and 50 °C. The characteristic curve of methane adsorption capacity to adsorption potential of each coal sample at different temperatures is unique. A coupling adsorption model involving adsorption capacity, temperature and pressure is established, which is capable of well describing methane adsorption characteristics of various rank coals including dark lignite and meta-anthracite. Furthermore, based on isothermal adsorption data of the coal sample, this model also able to predict adsorption capacity under other experimental equilibrium conditions. Finally, based on the isotherm adsorption experimental data at 30 °C of more than 40 coal samples of different coal ranks (Rmax = 0.28–7.05%) collected from typical areas of China, the adsorption model of different coal ranks is established to predict adsorption capacity, which helps gain insight into the adsorption characteristics of unknown areas before coalbed methane exploration and production.

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Funding

This work is conducted with funding from the topics of National Natural Science Foundation of China (No. 41972167).

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Correspondence to Wen** Jiang .

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Jiang, W., Zhang, Q., Liu, B. (2021). Coupling Model of Adsorption Capacity-Temperature-Pressure and Its Prediction for Methane Adsorption on Coals. In: Huang, C., Chan, YW., Yen, N. (eds) 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems. Advances in Intelligent Systems and Computing, vol 1379 . Springer, Singapore. https://doi.org/10.1007/978-981-16-1726-3_13

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