Synergy of Parameters Determining the Optimal Properties of Coal as a Natural Sorbent

Katarzyna Godyń, Barbara Dutka, Monika Chuchro and Mariusz Młynarczuk
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Katarzyna Godyń: The Strata Mechanics Research Institute of the Polish Academy of Sciences, Reymonta 27, 30-059 Kraków, Poland
Barbara Dutka: The Strata Mechanics Research Institute of the Polish Academy of Sciences, Reymonta 27, 30-059 Kraków, Poland
Monika Chuchro: Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology; al. Mickiewicza 30, 30-059 Kraków, Poland
Mariusz Młynarczuk: Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology; al. Mickiewicza 30, 30-059 Kraków, Poland

Energies, 2020, vol. 13, issue 8, 1-17

Abstract: Selection of the optimal properties of coal as a natural sorbent, both as a sample collected from a seam or of the coal seam itself, requires various parameters to be determined and may not be based on the knowledge of metamorphism degree only. In order to improve the predictions of sorption capacity and the kinetics, analyses of correlation and multiple regression based on the results of laboratory studies were performed for 15 coal samples with various coal rank. The maximum vitrinite reflectance ( R 0 ) for low-rank coals was 0.78%–0.85%, and 0.98%–1.15% and 1.85%–2.03% for medium- and high-rank coals, respectively. Coal samples were subjected to technical and petrographic analysis. The gravimetric method was used to perform sorption tests using methane, in order to determine the sorption capacity and the effective diffusion coefficient for each of the coals. Pycnometric methods were used to determine the textural parameters of coals, such as the percentage porosity and specific pore volume. The studies were further supplemented with an evaluation of the mechanical properties of the coals, Vickers micro-hardness, and elastic modulus. This work shows that the statistical multiple regression method enables a computational model including the selected petrophysical parameters displaying synergy with the specific sorption property—capacity or kinetics—to be created. The results showed the usefulness of this analysis in providing improved predictions of the optimal sorption properties of coal as a natural sorbent.

Keywords: coal; methane; coal petrography; sorption capacity; multiple regression (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)

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