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SULPHUR IN POLISH LIGNITE DEPOSITS
Abstract
Sulphur is one of the major constituents of lignite. In addition, it is used to measure the negative environmental impacts of this raw material. The presented study included field work and laboratory work. Field work was aimed at collecting coal samples, which were subjected to a series of laboratory tests. In total, about 150 coal samples were collected and used for proximate analysis. In addition, a large database of archival results from mines and scientific literature was collected. Overall, more than 4000 coal samples were subjected to analysis. All the results obtained were used in the statistical analysis. The studies used the lignite samples collected from the currently exploited and perspective deposits. The examined deposits are characterized by high volatility of the total sulphur content (Std). The highest average share of this parameter, determined on dry basis, is recorded for the Gubin deposit (2.83%) while the lowest for the AdamпїЅw deposit (0.31%). In the examined coal, the total sulphur content in individual samples ranges from 0.21% in the W?adys?awпїЅw deposit to 6.15% in the Gubin deposit, while the distribution of this parameter is characterized by a strong right-side skewness with a tendency to higher content of this component. Multimodality in the distribution of sulphur content in the analyzed samples suggests that parts of deposits are characterized by elevated sulphur content, which can be confirmed by the analysis of the sample population combined with the literature data, where the sulphur content varies from 0.13% to 10.76 %, with a mean value of 2.22%. The average value of this parameter in the examined coal is 2.03%, but the most commonly observed values are in the range between 1-2%, which indicates that the criteria contained in the documentation rules (the balance criteria, Instruction No. 3) indicating a maximum a sulphur content of up to 2% are largely met. The coefficient of variation of the total sulphur content is relatively strong (73.15%), which indicates that it is not possible to clearly estimate this parameter using statistical methods.
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