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On line monitoring technology of trace CO volume fraction at the outlet of coal mill based on TDLAS and constant-flow dilution sampling
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Zhimin PENG1, Qizheng LI2, Shuanling HE1, Zhen WANG1, Yanjun DU3, Yanjun DING1, Junfu LYU1
Thermal Power Generation | 2023, 52(5) : 1 - 7
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Thermal Power Generation | 2023, 52(5): 1-7
Special topics on safe operation, fault diagnosis and treatment technology of power generation equipment
On line monitoring technology of trace CO volume fraction at the outlet of coal mill based on TDLAS and constant-flow dilution sampling
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Zhimin PENG1, Qizheng LI2, Shuanling HE1, Zhen WANG1, Yanjun DU3, Yanjun DING1, Junfu LYU1
Affiliations
  • 1.Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
  • 2.Institute of Mechanics, Chinese Academy of Sciences, Beijing 100083, China
  • 3.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Published: 2023-05-25 doi: 10.19666/j.rlfd.202209206
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The operating parameters of coal mills directly affect the safety and combustion performance of coal-fired units. Therefore, it is of great significance to carry out real-time monitoring of CO volume fraction at the outlet of coal mills and accordingly have safety early warning based on the monitored data. In this work, the measurement accuracy and detection limit of wavelength modulation direct absorption spectroscopy(WM-DAS) method were verified based on tunable diode laser absorption spectroscopy(TDLAS) and Herriott multi-pass cell. The experimental results showed that the measured CO volume fraction agree very well with the preset values in the range of 1 to 10 μL/L, and the detection limit can be as low as 5.2×10–3 μL/L(300 s), which suggests the extremely high measurement sensitivity and accuracy of this method. Subsequently, based on this prototype experiment, an on-line monitoring system for the trace CO volume fraction was developed. Then, combined with the high-fidelity pretreatment technology of fuel gas based on the principle of constant-flow dilution, an on-line monitoring system for trace CO volume fraction was developed and applied to the outlet of coal mill of thermal power unit. The on-line CO monitoring and safety warning at the outlet of 5 coal mills of a single thermal power unit were realized by using multi-point alternating measurement strategy. With the monitored CO volume fraction and temperature of the coal mill outlet, the temperature of the primary air is adjusted to improve the boiler efficiency while ensuring safe operation of coal mill.

wavelength modulation-direct absorption spectroscopy(WM-DAS)  /  coal mill  /  trace carbon monoxide  /  dilution sampling
Zhimin PENG, Qizheng LI, Shuanling HE, Zhen WANG, Yanjun DU, Yanjun DING, Junfu LYU. On line monitoring technology of trace CO volume fraction at the outlet of coal mill based on TDLAS and constant-flow dilution sampling[J]. Thermal Power Generation, 2023 , 52 (5) : 1 -7 . DOI: 10.19666/j.rlfd.202209206
  • National Key Research and Development Program(2019YFB2006002)
  • Seed fund of Shanxi Research Institute for Clean Energy, Tsinghua University(041509005)
  • Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ20-H50)
Year 2023 volume 52 Issue 5
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Article Info
doi: 10.19666/j.rlfd.202209206
  • Receive Date:2022-09-16
  • Online Date:2026-01-23
  • Published:2023-05-25
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History
  • Received:2022-09-16
Funding
National Key Research and Development Program(2019YFB2006002)
Seed fund of Shanxi Research Institute for Clean Energy, Tsinghua University(041509005)
Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ20-H50)
Affiliations
    1.Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
    2.Institute of Mechanics, Chinese Academy of Sciences, Beijing 100083, China
    3.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
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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