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Theoretical Models To Predict Gas Adsorption Capacity on Moist Coal
- Source :
- Energy & Fuels. 33:2908-2914
- Publication Year :
- 2019
- Publisher :
- American Chemical Society (ACS), 2019.
-
Abstract
- 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 demonstrat...
- Subjects :
- Langmuir
Work (thermodynamics)
Moisture
business.industry
General Chemical Engineering
Theoretical models
Energy Engineering and Power Technology
Thermodynamics
02 engineering and technology
021001 nanoscience & nanotechnology
Methane
chemistry.chemical_compound
Fuel Technology
Adsorption
020401 chemical engineering
chemistry
Environmental science
Coal
0204 chemical engineering
0210 nano-technology
business
Water content
Subjects
Details
- ISSN :
- 15205029 and 08870624
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- Energy & Fuels
- Accession number :
- edsair.doi...........e4b65e73908d7cdece771acebaaa286b