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Study on the measurement of coal as fired calorific value based on synchronous collection and fusion of LIBS and NIRS signals
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Fang CHI1, Qingsong WANG1, Chengjun LI2, Aiyong YANG1, Weiye LU2, Sen WANG1, Weizhe MA2, Youquan DOU1, Weize CHEN2, Donglian ZHANG1, Juehui MO3, Zhimin LU2, Shunchun YAO2, 3, 4
Thermal Power Generation | 2023, 52(7) : 92 - 98
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Thermal Power Generation | 2023, 52(7): 92-98
• Intelligent management technologies for coal-fired power plants •
Study on the measurement of coal as fired calorific value based on synchronous collection and fusion of LIBS and NIRS signals
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Fang CHI1, Qingsong WANG1, Chengjun LI2, Aiyong YANG1, Weiye LU2, Sen WANG1, Weizhe MA2, Youquan DOU1, Weize CHEN2, Donglian ZHANG1, Juehui MO3, Zhimin LU2, Shunchun YAO2, 3, 4
Affiliations
  • 1.Nanjing State Energy Coal Quality Supervision and Inspection Co., Ltd., Nanjing 210018, China
  • 2.School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China
  • 3.Cntest Intelligent Scien-Tech Co., Ltd., Foshan 528313, China
  • 4.Guangdong Province Key Laboratory of Efficient and Clean Energy Utilization, Guangzhou 510641, China
Published: 2023-07-25 doi: 10.19666/j.rlfd.202305072
Outline
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Rapid and accurate measurement of the calorific value of incoming coal is the essential to provide guidance for the economic and safe operation of power plants. However, coal has complex components, and the calorific value is correlated with elemental composition and molecular structure, it is difficult to measure coal calorific value quickly and accurately by a single analytical technique. Based on laser-induced breakdown spectroscopy (LIBS) and near-infrared reflectance spectroscopy (NIRS), a method is proposed to detect the calorific value of incoming coal by combining two techniques. The LIBS and NIRS spectral signals of the coal on the conveyor belt are collected simultaneously. Fusion of two spectral information after data pre-processing, coupled with partial least squares (PLS) modeling method to quantify coal calorific value. This method is used in a coal sample measurement system built by lab, it is reached that the coefficient of determination of the calibration set was 0.98, and the root mean square error of the prediction set was 0.37 MJ/kg, with an average absolute error of 0.26 MJ/kg and an average relative error of 1.09%. The results show that the proposed method of simultaneous acquisition of LIBS and NIRS signals can measure coal calorific value rapidly and accurately.

coal calorific value  /  conveyor belt  /  laser-induced breakdown spectroscopy  /  near-infrared reflectance spectroscopy  /  quantitative analysis
Fang CHI, Qingsong WANG, Chengjun LI, Aiyong YANG, Weiye LU, Sen WANG, Weizhe MA, Youquan DOU, Weize CHEN, Donglian ZHANG, Juehui MO, Zhimin LU, Shunchun YAO. Study on the measurement of coal as fired calorific value based on synchronous collection and fusion of LIBS and NIRS signals[J]. Thermal Power Generation, 2023 , 52 (7) : 92 -98 . DOI: 10.19666/j.rlfd.202305072
Funding
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  • National Energy Group Science and Technology Project(GJNY-22-90)
  • National Key Research and Development Program Intergovernmental International Science and Technology Innovation Cooperation Project(2019YFE0109700)
  • National Natural Science Foundation of China(U22B20119）)
  • Fok Ying Tung Education Foundation Fund for Young Teachers in Higher Education(171047）)
  • Guangdong Provincial Natural Science Foundation Outstanding Youth Project(2021B1515020071)
  • Guangdong Provincial Key Laboratory of Energy Efficient and Clean Utilization(2013A061401005）)
  • Science and Technology Innovation Project of Foshan City(1920001000052)
Appendix
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Year 2023 volume 52 Issue 7
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75
8
Cite this Article
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Article Info
doi: 10.19666/j.rlfd.202305072
  • Receive Date：2023-05-22
  • Online Date：2026-01-26
  • Published：2023-07-25
Article Data
Affiliations
History
  • Received：2023-05-22
Funding
National Energy Group Science and Technology Project(GJNY-22-90)
National Key Research and Development Program Intergovernmental International Science and Technology Innovation Cooperation Project(2019YFE0109700)
National Natural Science Foundation of China(U22B20119）)
Fok Ying Tung Education Foundation Fund for Young Teachers in Higher Education(171047）)
Guangdong Provincial Natural Science Foundation Outstanding Youth Project(2021B1515020071)
Guangdong Provincial Key Laboratory of Energy Efficient and Clean Utilization(2013A061401005）)
Science and Technology Innovation Project of Foshan City(1920001000052)
Affiliations
    1.Nanjing State Energy Coal Quality Supervision and Inspection Co., Ltd., Nanjing 210018, China
    2.School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China
    3.Cntest Intelligent Scien-Tech Co., Ltd., Foshan 528313, China
    4.Guangdong Province Key Laboratory of Efficient and Clean Energy Utilization, Guangzhou 510641, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202305072
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表12种不同金属材料的力学参数
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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