期刊
PROCEEDINGS OF THE COMBUSTION INSTITUTE
卷 37, 期 3, 页码 3053-3060出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.proci.2018.06.172
关键词
Raman spectroscopy; Fluorescence interference; Coal property; Combustion
资金
- National Key R&D Program of China [2017YFB0601802]
- National Natural Science Foundation of China [51576072, 51576081, 51576086]
- China Postdoctoral Science Foundation [M2018630858]
Fluorescence interference in Raman spectrum is a big barrier for rapid and precise analysis of coal structures by Raman spectroscopy. Dealing with fluorescence interference suitably is one of the key tasks before efficient application of Raman spectroscopy in coal assessment. In this study, Raman spectra and coal combustion characteristics of 32 kinds of Chinese coals were respectively obtained in a micro-Raman spectrometer and Thermal Gravimetric Analyzer. The degree of fluorescence interference in Raman spectrum was firstly defined and quantified as the drift coefficient alpha using a simple method without curve-fitting the spectrum. The correlations between the degree of fluorescence interference and coal property, coal combustion characteristics were set up and multivariable analysis was done. The results indicate that the degree of fluorescence interference is well related to the coal structures, and it is synthetically determined by volatile, moisture and ash content in coal. With the increase of volatile, moisture content in coal, the fluorescence interference increases continuously, and it can be reduced but not eliminated by drying the moisture in coals. Significant mathematical relations between the drift coefficient alpha and volatile, moisture content, coal combustion characteristic temperatures have been found. Coal with more evident fluorescence interference in Raman spectrum usually has lower degree of coalification, more polar functional groups, and burns at a lower temperature. The drift coefficient alpha can act as an efficient probe for coal property and coal combustion characteristics. This study provided a new and simple approach for evaluating coal property and coal combustion characteristics by fluorescence interference in Raman spectrum. (C) 2018 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
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