Theoretical Models To Predict Gas Adsorption Capacity on Moist Coal

doi:10.1021/acs.energyfuels.8b04190

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	Theoretical Models To Predict Gas Adsorption Capacity on Moist Coal
	Chen, Dong ; Ye, Zhihui ; Pang, Zhejun ; Tan, Yuling ; Li, Hui
刊名	ENERGY & FUELS
	2019
卷号	33 期号:4 页码:2908-2914
ISSN号	0887-0624
DOI	10.1021/acs.energyfuels.8b04190
英文摘要	The impact of moisture on gas adsorption capacity reduction on coal has been well recognized, and empirical correlations are widely used to quantitatively evaluate the moisture effect. However, few studies are found on fundamental modeling of the moisture effect on gas adsorption capacity. In this work, two theoretical models on the basis of the extended Langmuir theory (EL-based) and the ideal adsorbed solution theory (IAS-based) were developed to account for the gas adsorption capacity with different pressures and moisture contents. With the parameters determined from the gas adsorption on dry samples and water adsorption on samples under atmospheric conditions, both models are able to predict the gas adsorption capacity under combined effects of gas pressure and moisture content. The models were verified through a set of experimental data from a coal sample from Australia, and they were further applied to describe the methane adsorption behavior on a coal sample from New Zealand. The results demonstrate that both models can reasonably predict the gas adsorption capacity on moist coal samples. Although one more parameter is required, the IAS-based model could match the experimental data with higher accuracy. The research findings in this work contribute to a better understanding of the fundamentals of gas adsorption characteristics on moist coal.
WOS研究方向	Energy & Fuels ; Engineering
语种	英语
WOS记录号	WOS:000465486100024
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/15001]
专题	岩土力学所知识全产出_期刊论文
作者单位	1.China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China; 2.China Univ Petr, Coll Safety & Ocean Engn, Beijing 102200, Peoples R China; 3.China Univ Petr, Coll Petr Engn, Beijing 102200, Peoples R China; 4.CSIRO Energy Flagship, Private Bag 10, Clayton, Vic 3169, Australia
推荐引用方式 GB/T 7714	Chen, Dong,Ye, Zhihui,Pang, Zhejun,et al. Theoretical Models To Predict Gas Adsorption Capacity on Moist Coal[J]. ENERGY & FUELS,2019,33(4):2908-2914.
APA	Chen, Dong,Ye, Zhihui,Pang, Zhejun,Tan, Yuling,&Li, Hui.(2019).Theoretical Models To Predict Gas Adsorption Capacity on Moist Coal.ENERGY & FUELS,33(4),2908-2914.
MLA	Chen, Dong,et al."Theoretical Models To Predict Gas Adsorption Capacity on Moist Coal".ENERGY & FUELS 33.4(2019):2908-2914.