| Abstrakt: |
The increased urge to protect the environment from the harsh impact of CO2 emissions has led to the development of a new technology named CCS abbreviated as carbon capture and storage. CCS is a crucial technology that focuses on emission removal from the source or directly from the air. CCS is a three-step process including carbon capture, transportation, and storage with CO2 storage (CO2) as an important step as it permanently removes the CO2 from the atmosphere. CO2 can be stored in geological formations like shale, coal, and basalts with shale displaying high adsorption capacity towards CO2 gas making it a suitable site for CO2 storage. Shale is a fine-grained rock having high porosity that follows an adsorption mechanism for CO2 storage, and thus, it becomes crucially important to describe the adsorption process in shale rock. The adsorption mechanism can be studied by numerous isotherm models namely monolayer adsorption-based Langmuir, classical statistical mechanics-based Freundlich, Temkin, and micro-pore filling adsorption D-R isotherm models. This article applies isotherm models on the alum shale collected from Denmark for gases CO2, N2, and CH4 at temperatures of 195 K, 77 K, and 112 K at a depth of 9 m and predicts the best-fit isotherm model for the alum shale based on a linear regression method. The study finds that the Langmuir isotherm model was suitable for CH4 and N2 gas with accuracy of 96.86% and 95.79% and the Freundlich model of isotherm was best suitable for CO2 gas with an accuracy of 99.45%. Langmuir isotherm best describes the adsorption based on the gas–solid phase and is utilized for quantifying the adsorptive capacity of different adsorbents. [ABSTRACT FROM AUTHOR] |
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