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Monitoring the Sulfur Content of Coal

机译:监测煤的硫含量

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Information regarding the sulfur content of the coal is required not only in metallurgy but also when burning coal as a fuel. The traditional method of determining the sulfur content of coal is unsuitable for large-scale monitoring of processes because it is laborious and not sufficiently reliable. Nuclear-physics methods are free of those problems. However, satisfactory precision of the results is only possible with relatively constant composition of the coal or when the matrix effect due to fluctuations in the composition is taken into account. In the present work, the composition of coal is studied by correlation and regression analysis of the ash composition in coal from different deposits. The correlation coefficients between the main ash components (Al_2O_3, SiO_2, SO_3, CaO, and Fe_2O_3) are calculated. For the example, of coal from Kazakhstan and the Minusinsk Basin, statistically significant correlations are established between the contents of sulfur and calcium in the coal; the correlation coefficient is 0.75-0.93. No significant and consistent correlations are found between other ash components. These findings permit optimal development of nuclear-physics methods of monitoring the sulfur content of coal-specifically, in improving the precision of the analysis by taking account of the matrix effect due to redistribution of the mineral components.
机译:关于煤的硫含量的信息不仅在冶金业中而且在燃烧煤作为燃料时也需要。确定煤中硫含量的传统方法不适合大规模过程监控,因为它费力且不够可靠。核物理方法没有这些问题。但是,只有在煤的成分相对恒定的情况下或考虑到由于成分波动引起的基体效应时,结果的令人满意的精度才有可能。在目前的工作中,通过对不同矿床中煤中灰分组成的相关性和回归分析,研究了煤的组成。计算了主要灰分成分(Al_2O_3,SiO_2,SO_3,CaO和Fe_2O_3)之间的相关系数。例如,来自哈萨克斯坦和米努辛斯克盆地的煤炭,在煤炭中硫和钙的含量之间建立了统计学上显着的相关性。相关系数为0.75-0.93。在其他灰分成分之间未发现显着且一致的相关性。这些发现允许通过专门考虑煤中硫含量的核物理方法的最佳开发,以通过考虑由于矿物成分的重新分布而引起的基质效应来提高分析的精度。

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