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Modeling method for boiler main steam temperature by integrating mechanism model and parameter identification
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Junjie LI1, Yinan ZHANG1, Yu YANG1, Surong DAOERJI1, Xiang ZHANG1, Xiaoyu TANG1, Wenhai WANG1, Tao ZHANG2, Bo ZHANG2
Thermal Power Generation | 2026, 55(3) : 36 - 43
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Thermal Power Generation | 2026, 55(3): 36-43
Thermal Energy Science Research
Modeling method for boiler main steam temperature by integrating mechanism model and parameter identification
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Junjie LI1, Yinan ZHANG1, Yu YANG1, Surong DAOERJI1, Xiang ZHANG1, Xiaoyu TANG1, Wenhai WANG1, Tao ZHANG2, Bo ZHANG2
Affiliations
  • 1.NGICS Platform, Zhejiang University, Hangzhou 310058, China
  • 2.China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Published: 2026-03-25 doi: 10.19666/j.rlfd.202505125
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Accurate modeling of main-steam temperature is the foundation for studying its control strategy. To address the contradiction between mechanism completeness and model practicality of the conventional modeling methods, a hybrid modeling method for main steam temperature integrating mechanism model and system identification was proposed. A mechanistic model of main steam temperature was established based on the lumped parameter method. The model includes the effects of flue gas heat transfer, steam flow rate and desuperheating water flow rate. According to the closed-loop operation data of a thermal power plant boiler, the model parameters were identified using differential evolution algorithm. Compared with the boiler design values, the identification results show an increase in thermal resistance of ash layer and a decrease in convective heat transfer coefficient of flue gas, which conforms to physical laws. The model was then verified using operational data from different time periods. The results indicate that the mean absolute error between the calculated results and the operational data is less than 1 ℃, which proves the accuracy of the model. By utilizing the model, the dynamic characteristics of the main-steam temperature were further analyzed, and several improved control strategies were proposed, such as increasing the feedforward signals of the coal feeding rate and the attemperator inlet steam temperature, and adopting a load-based fuzzy controller. The simulation results show that the deviation of the main-steam temperature is reduced, which proves the established model has guidance effect on optimizing the main-steam temperature control system.

main-steam temperature  /  mechanism model  /  parameter identification  /  system modeling  /  dynamic characteristics
Junjie LI, Yinan ZHANG, Yu YANG, Surong DAOERJI, Xiang ZHANG, Xiaoyu TANG, Wenhai WANG, Tao ZHANG, Bo ZHANG. Modeling method for boiler main steam temperature by integrating mechanism model and parameter identification[J]. Thermal Power Generation, 2026 , 55 (3) : 36 -43 . DOI: 10.19666/j.rlfd.202505125
  • Fundamental Research Funds for the Central Universities(2025ZFJH02)
Year 2026 volume 55 Issue 3
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Article Info
doi: 10.19666/j.rlfd.202505125
  • Receive Date:2025-05-07
  • Online Date:2026-08-14
  • Published:2026-03-25
Article Data
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History
  • Received:2025-05-07
  • Revised:2025-08-04
  • Accepted:2025-08-25
Funding
Fundamental Research Funds for the Central Universities(2025ZFJH02)
Affiliations
    1.NGICS Platform, Zhejiang University, Hangzhou 310058, China
    2.China Electric Power Research Institute Co., Ltd., Beijing 100192, China
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表12种不同金属材料的力学参数

Family
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Number of
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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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