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Adsorption
Erschienen in: Adsorption 1-2/2022

04.01.2022

Adsorption characteristics and thermodynamic property fields of methane and Sichuan Basin shales

verfasst von: Shuo Duan, Min Gu, Mengmeng Tao, Ke Huang

Erschienen in: Adsorption | Ausgabe 1-2/2022

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Abstract

Adsorption of methane on three Sichuan Basin shales at 318 K, 338 K, and 358 K has been investigated experimentally. The adsorption equilibrium isotherm data were fitted with Langmuir, DR and DA model. A thermodynamic model on heat of adsorption (Qst), considering the non-ideality of gas and the adsorbed phase specific volume, was developed for adsorption fields of methane and shales. The other thermodynamic properties, included specific heat capacity of adsorbed phase (cp,a), entropy (sa) and enthalpy (ha) of adsorbed phase, were also evaluated on basis of the developed heat of adsorption model. The calculated isosteric heat of adsorption shows a temperature independent feature at lower surface loading while a negative temperature dependence at higher surface loading. Specific heat capacity of adsorbed phase (cpa) values increases with temperature, pressure and adsorption amount. The change of cpa value with temperature are higher at lower pressure and adsorption amount. The entropy and enthalpy of adsorbed phase decreases with the increase of methane adsorption, and the entropy change is larger at lower temperature suggesting lower temperature is conducive to formed ordered arrangement of CH4 molecules.
Vorheriger Artikel Absolute adsorption and adsorbed volume modeling for supercritical methane adsorption on shale
Nächster Artikel Adsorption of organic solvent vapours on carbon nanotubes, few-layer graphene nanoflakes and their nitrogen-doped counterparts

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Metadaten
Titel
Adsorption characteristics and thermodynamic property fields of methane and Sichuan Basin shales
verfasst von
Shuo Duan
Min Gu
Mengmeng Tao
Ke Huang
Publikationsdatum
04.01.2022
Verlag
Springer US
Erschienen in
Adsorption / Ausgabe 1-2/2022
Print ISSN: 0929-5607
Elektronische ISSN: 1572-8757
DOI
https://doi.org/10.1007/s10450-021-00352-6

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