2011
DOI: 10.1021/ef101149d
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Supercritical Pure Methane and CO2 Adsorption on Various Rank Coals of China: Experiments and Modeling

Abstract: Carbon dioxide sequestration in coal seams with enhanced coal-bed methane recovery (CO2-ECBM) is considered as a promising option for permanent carbon dioxide storage. As one of the most important factors to the success of the CO2-ECBM process, adsorption of methane and CO2 on coal helps to assess the amount of recoverable methane as well as the storage capacity of CO2 of the targeted coal seam. In this work, the methane and CO2 adsorption isotherms were measured with a volumetric technique at temperatures of … Show more

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Cited by 106 publications
(96 citation statements)
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“…6 The experimentally measured variable, called Gibbsian surface excess (GSE, mmol g −1 ), was calculated by 26,29 …”
Section: Methodsmentioning
confidence: 99%
“…6 The experimentally measured variable, called Gibbsian surface excess (GSE, mmol g −1 ), was calculated by 26,29 …”
Section: Methodsmentioning
confidence: 99%
“…14,57,58 Although, this rank dependence does not always facilitate an increase in CO 2 adsorption capacity. This may be a discrepancy in our regular recognitions related to coal rank effect on adsorption capacity.…”
Section: Isotherm Anomalies Related To Rank and Temperaturementioning
confidence: 99%
“…It should be noted that the temperature and pressure of unmineable coals suitable for CO 2 sequestration are commonly above the CO 2 critical point 13,14 ; therefore, assessment of deep coal CO 2 sequestration potential should be based on observations of supercritical CO 2 adsorption. It should be noted that the temperature and pressure of unmineable coals suitable for CO 2 sequestration are commonly above the CO 2 critical point 13,14 ; therefore, assessment of deep coal CO 2 sequestration potential should be based on observations of supercritical CO 2 adsorption.…”
mentioning
confidence: 99%
“…Later Ono-Kondo model was applied on studies related to gas adsorption on microporous solids [30][31][32][33][34]. Among all the AI models, Ono-Kondo model has advantages which include its ability to describe adsorption data for a wide range of temperature and pressure, calculation of data accurately, and predicts adsorption behavior to DR model but for extended range of conditions [28][29][30][31][32][33][34][35]. The Ono-Kondo model has been mostly used for porous adsorbents such as activated carbons.…”
Section: Introductionmentioning
confidence: 99%