Author:
TIAN Zhihui,LI Xiaolin,WANG Gang,ZHANG Lei,LI Jiaxuan,WANG Shuqing,BAI Yu,ZHANG Wanfei,YUE Han,MA Xiaofei,YIN Wangbao,JIA Suotang
Abstract
Abstract
Although laser-induced breakdown spectroscopy (LIBS), as a fast on-line analysis technology, has great potential and competitiveness in the analysis of chemical composition and proximate analysis results of coal in thermal power plants, the measurement repeatability of LIBS needs to be further improved due to the difficulty in controlling the stability of the generated plasmas at present. In this paper, we propose a novel x-ray fluorescence (XRF) assisted LIBS method for high repeatability analysis of coal quality, which not only inherits the ability of LIBS to directly analyze organic elements such as C and H in coal, but also uses XRF to make up for the lack of stability of LIBS in determining other inorganic ash-forming elements. With the combination of elemental lines in LIBS and XRF spectra, the principal component analysis and the partial least squares are used to establish the prediction model and perform multi-elemental and proximate analysis of coal. Quantitative analysis results show that the relative standard deviation (RSD) of C is 0.15%, the RSDs of other elements are less than 4%, and the standard deviations of calorific value, ash content, sulfur content and volatile matter are 0.11 MJ kg−1, 0.17%, 0.79% and 0.41% respectively, indicating that the method has good repeatability in determination of coal quality. This work is helpful to accelerate the development of LIBS in the field of rapid measurement of coal entering the power plant and on-line monitoring of coal entering the furnace.
Funder
National Key Research and Development Program of China
111 project
Scientific and technological innovation project of Shanxi Gemeng US-China Clean Energy R&D Center Co., Ltd.
Industrial application innovation project
Fund for Shanxi “1331KSC”
Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China
National Natural Science Foundation of China
National Energy R&D Center of Petroleum Refining Technology
Cited by
17 articles.
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