Coal analysis by laser-induced breakdown spectroscopy: a tutorial review

被引:167
作者
Sheta, Sahar [1 ,2 ]
Afgan, Muhammad Sher [1 ]
Hou, Zongyu [1 ]
Yao, Shun-Chun [3 ]
Zhang, Lei [4 ]
Li, Zheng [1 ]
Wang, Zhe [1 ]
机构
[1] Tsinghua Univ, Dept Energy & Power Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
[2] Cairo Univ, Natl Inst Laser Enhanced Sci, Cairo 12613, Egypt
[3] South China Univ Technol, Sch Elect Power, Guangzhou 510640, Guangdong, Peoples R China
[4] Shanxi Univ, Inst Laser Spect, State Key Lab Quantum Opt & Quantum Opt Devices, Taiyuan 030006, Shanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
EXTREME LEARNING-MACHINE; SPECTRUM STANDARDIZATION METHOD; PARTIAL LEAST-SQUARES; FLY-ASH; UNBURNED CARBON; QUANTITATIVE-ANALYSIS; PULVERIZED COAL; ELEMENTAL ANALYSIS; CALORIFIC VALUE; SODIUM RELEASE;
D O I
10.1039/c9ja00016j
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Coal is one of the world's most abundant primary energy sources. Real-time coal analysis technology is imperative for coal blending, combustion optimization, pollution reduction, and pricing. Laser-induced breakdown spectroscopy (LIBS) has been a promising candidate for coal analysis because of its uniquely fast, in situ, and online capabilities. Coal is a sedimentary rock with a complex and heterogeneous composition, and therefore, laser-coal interaction exhibits multiple phenomena. A systematic study of the experimental conditions required for stable coal-plasma formation and evolution is a headway for enhancing LIBS results. In coal-fired power plants, LIBS offers three installation sets, namely, inline, atline, and offline, with minimal space requirements and ease of retrofit. Moreover, LIBS is a safer technique with lower installation and maintenance costs and fits the concern of coal-fired power plants for multielemental detection in fast records. Coal analysis mainly includes calorific heat value determination, proximate analysis, ultimate analysis, and other related analyses. LIBS data is handled with continuously developing mathematical and statistical modeling techniques to provide the smart extraction of the required spectral information for coal analysis. In this tutorial review, we summarize the previous research contributions utilizing LIBS for coal analysis, including fundamentals and key factors, operation modes, data processing, and analytical results. Over and above, LIBS contribution in fly ash analysis and certain literature concerning combustion diagnostics might be included to present a simple guideline for researchers interested in LIBS applications for coal utilization.
引用
收藏
页码:1047 / 1082
页数:36
相关论文
共 192 条
  • [1] Abdi H., 2003, Encyclopedia of Social Sciences Research Methods, V6, P792
  • [2] X-ray studies and time-resolved photoluminescence on optically pumped antimonide-based midinfrared type-II lasers
    Schwender, C
    Drumm, JO
    Hoffmann, G
    Vogelgesang, B
    Fouckhardt, H
    [J]. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2004, 60 (14) : 3387 - 3392
  • [3] Quantitative analysis of common elements in steel using a handheld μ-LIBS instrument
    Afgan, Muhammad Sher
    Hou, Zongyu
    Wang, Zhe
    [J]. JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY, 2017, 32 (10) : 1905 - 1915
  • [4] Method for measurement of transition probabilities by laser-induced breakdown spectroscopy based on CSigma graphs-Application to Ca II spectral lines
    Aguilera, J. A.
    Aragon, C.
    Manrique, J.
    [J]. JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2015, 160 : 10 - 18
  • [5] Aiken L. S., 1991, Multiple regression: Testing and interpreting interactions, DOI 10.2307/2348581
  • [6] [Anonymous], 2006, Handbook of Laser-Induced Breakdown Spectroscopy
  • [7] Direct analysis of aluminum alloys by CSigma laser-induced breakdown spectroscopy
    Aragon, C.
    Aguilera, J. A.
    [J]. ANALYTICA CHIMICA ACTA, 2018, 1009 : 12 - 19
  • [8] CSigma graphs: A new approach for plasma characterization in laser-induced breakdown spectroscopy
    Aragon, C.
    Aguilera, J. A.
    [J]. JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2014, 149 : 90 - 102
  • [9] Correction of C-Fe line interference for the measurement of unburned carbon in fly ash by LIBS
    Bai, Kaijie
    Yao, Shunchun
    Lu, Jidong
    Zhao, Jingbo
    Xu, Jialong
    Lu, Zhimin
    [J]. JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY, 2016, 31 (12) : 2418 - 2426
  • [10] Balakrishnan S., 2016, APPL PHYS A, V399, P1