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Investigation of slagging prediction system in boilers coupling measurement of gaseous alkali metal in furnace
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Shuyi HUANG1, Zhichao WANG2, Bin BAI1, Xinkun CEN1, Xiong ZHANG3, Yang PU3, Bin YAO3
Thermal Power Generation | 2023, 52(7) : 99 - 105
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Thermal Power Generation | 2023, 52(7): 99-105
Intelligent management technologies for coal-fired power plants
Investigation of slagging prediction system in boilers coupling measurement of gaseous alkali metal in furnace
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Shuyi HUANG1, Zhichao WANG2, Bin BAI1, Xinkun CEN1, Xiong ZHANG3, Yang PU3, Bin YAO3
Affiliations
  • 1.Ledong Power Plant, China Energy, Ledong 572500, China
  • 2.Xian Thermal Power Research Institute Co., Ltd., Xi'an 710054, China
  • 3.State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
Published: 2023-07-25 doi: 10.19666/j.rlfd.202305056
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The alkali metals released during combustion of high alkali coals can easily lead to fouling and slagging of the heated surfaces of the furnace, affecting the safety of boiler operation, and it is significant to carry out the research of the slagging trend prediction. In this paper, a system for dynamic prediction of slagging trends in the furnace was developed by combining the slagging trend discrimination method based on ash composition analysis with flame emission spectroscopy. Firstly, a flame emission spectroscopy system was installed on the boiler to measure the gas phase alkali metal concentration in the furnace, and then a slagging trends test was carried out in the furnace exit area to obtain the deposition trend of the ash samples. Finally, a dynamic predictive system for predicting slagging in the furnace was developed and applied to the boiler by combining the slagging discriminating trends based on ash composition analysis of different coal samples and online monitoring of gas-phase Na concentrations, which can reflect the monitoring results of each parameter under the current combustion conditions in real-time, indicate the slagging trend in the current combustion state, thus enabling combustion adjustment instructions to prevent severe slagging.

power plant boiler  /  high alkali fuel  /  gas phase alkali metal  /  flame emission spectroscopy  /  slagging
Shuyi HUANG, Zhichao WANG, Bin BAI, Xinkun CEN, Xiong ZHANG, Yang PU, Bin YAO. Investigation of slagging prediction system in boilers coupling measurement of gaseous alkali metal in furnace[J]. Thermal Power Generation, 2023 , 52 (7) : 99 -105 . DOI: 10.19666/j.rlfd.202305056
  • National Key Research and Development Program(2022YFB4202002)
Year 2023 volume 52 Issue 7
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Article Info
doi: 10.19666/j.rlfd.202305056
  • Receive Date:2023-05-04
  • Online Date:2026-01-26
  • Published:2023-07-25
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  • Received:2023-05-04
Funding
National Key Research and Development Program(2022YFB4202002)
Affiliations
    1.Ledong Power Plant, China Energy, Ledong 572500, China
    2.Xian Thermal Power Research Institute Co., Ltd., Xi'an 710054, China
    3.State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202305056
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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
total species (%)

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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