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Optimization of main steam temperature deviation on both sides of supercritical 600 MW opposed firing boiler based on hydrodynamic model of flow network method
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Songshan LI1, Wen TANG2, Xinyu NING2, Jun YIN1, Wenlong YAN1, Zhenkun WU2, Zhongxuan LIU2, Long JIANG3, Meng ZHU3, Jun XIANG3
Thermal Power Generation | 2023, 52(1) : 74 - 82
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Thermal Power Generation | 2023, 52(1): 74-82
Thermal energy science research
Optimization of main steam temperature deviation on both sides of supercritical 600 MW opposed firing boiler based on hydrodynamic model of flow network method
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Songshan LI1, Wen TANG2, Xinyu NING2, Jun YIN1, Wenlong YAN1, Zhenkun WU2, Zhongxuan LIU2, Long JIANG3, Meng ZHU3, Jun XIANG3
Affiliations
  • 1.Huanggang Dabieshan Power Generation Company Ltd., Macheng 438304, China
  • 2.China Power Huachuang (Suzhou) Electricity Technology Research Company Ltd., Suzhou 215000, China
  • 3.State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
Published: 2023-01-25 doi: 10.19666/j.rlfd.202205088
Outline
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By taking a supercritical 600 MW opposed firing boiler as the research object, the temperature deviation law of main steam on both sides is analyzed and verified through hydrodynamic modeling, and a technical scheme is put forward to optimize the temperature deviation of main steam from the perspective of water side. After adopting this steam temperature optimization scheme, the main steam temperature deviations on both sides of the boiler reduced by 44.6%, 95.8% and 28.0% respectively under 50%, 75% and 100% BRL conditions. This scheme can realize safe and economical operation of the unit, and has good guidance and reference value for the same type of boiler.

hydrodynamic  /  supercritical boiler  /  opposed firing  /  steam temperature deviation  /  flow network method
Songshan LI, Wen TANG, Xinyu NING, Jun YIN, Wenlong YAN, Zhenkun WU, Zhongxuan LIU, Long JIANG, Meng ZHU, Jun XIANG. Optimization of main steam temperature deviation on both sides of supercritical 600 MW opposed firing boiler based on hydrodynamic model of flow network method[J]. Thermal Power Generation, 2023 , 52 (1) : 74 -82 . DOI: 10.19666/j.rlfd.202205088
  • National Natural Science Foundation of China(U20A20303)
  • Science and Technology Project of State Power Investment Corporation(SZHC-JY-20210401)
Year 2023 volume 52 Issue 1
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Article Info
doi: 10.19666/j.rlfd.202205088
  • Receive Date:2022-05-09
  • Online Date:2026-01-23
  • Published:2023-01-25
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History
  • Received:2022-05-09
Funding
National Natural Science Foundation of China(U20A20303)
Science and Technology Project of State Power Investment Corporation(SZHC-JY-20210401)
Affiliations
    1.Huanggang Dabieshan Power Generation Company Ltd., Macheng 438304, China
    2.China Power Huachuang (Suzhou) Electricity Technology Research Company Ltd., Suzhou 215000, 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.202205088
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表12种不同金属材料的力学参数

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Number of
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Number of
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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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