Increasing ash resulted in a lower coal organic content (lower carbon percentage) which reduces the heating value, and growing the moisture content weakens the coal structure and decreases the GCV of samples (negative correlations) (Golshani et al., 2013, Nguyen et al., 2021).
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WhatsApp: +86 18203695377The traditional detection of coal moisture is mainly based on the current national standard GB/T [2]. The disadvantage of traditional coal moisture detection is that it takes a long time to determine the moisture content of a batch of coal samples, which cannot meet the actual sit requirements.
WhatsApp: +86 18203695377In this study, we selected fresh coal samples (density g/cm 3, R ° max %) from the 15022 working face of Chicheng Coal Mine. The coal samples were crushed, screened, and divided by a crusher and vibrating screen machine to produce analytical samples with a particle size below 200 mesh.
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WhatsApp: +86 18203695377Methods such as Xray fluorescence (XRF) and prompt gamma neutron activation analysis (PGNAA) have recently been used for coal analysis and measurements [3] [4] [5][6]. However, these methods can ...
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WhatsApp: +86 18203695377Several methods are available to predict GCV using either moisture content and/or ash yield or using entire proximate and ultimate coal analysis data. These correlations and machine learning prediction tools tend to be too complex and hence are of limited utility for the enduser. For Indian coals, the most widely used simple correlation, based ...
WhatsApp: +86 18203695377Spectroscopy has been extensive used in coal identification and analyses. Zeng et al. [17,18] used computer and spectral data to monitor and control the coal moisture of power station boilers, and obtained good control effects. Hu et al. [19] based on spectroscopy and a least squares support vector machine designed a coal quality analysis method.
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