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A Real-Time Calculation Method to Improve Boiler Safety in Deep Peak Shaving Cases

Author

Listed:
  • Xin Guo

    (School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
    Harbin Boiler Factory Co., Ltd., Harbin 150046, China)

  • Guangbo Zhao

    (School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Zhecheng Zhang

    (School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Dongdong Feng

    (School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Yongjie Wang

    (School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
    Harbin Boiler Factory Co., Ltd., Harbin 150046, China)

  • Zhengshun Zhang

    (Harbin Boiler Factory Co., Ltd., Harbin 150046, China)

Abstract

To tackle the overheating problem of the heating surface in deep peak shaving, it is urgent to develop working substance (steam) temperature regulation and heating surface safety control technologies that combine combustion and hydrodynamic instability evaluation. This work relies on a 1000 MW boiler involved in deep peak shaving, and adopts CFD numerical simulation technology to obtain reasonable holographic heat load data of the boiler. The heat load data and the working substance side data are coupled to develop a real-time performance calculation model that combines combustion and hydrodynamic steam temperature. Real-time monitoring of the local position of the boiler water wall and the convection heating surface can be achieved through the three steps: heat load screening, heat exchange process calculation, and result display. The results show that through the corresponding expression of on-site industrial parameters and CFD simulation data, the effective analysis, extraction, modeling and optimization of the operation data can be realized for real-time online monitoring and intelligent early warning of the entire working condition. The model error is less than 2 °C and the model can realize early warnings at 5 min, so as to ensure the safety and stability of boiler operation and save the operating cost of the power plant to a certain extent.

Suggested Citation

  • Xin Guo & Guangbo Zhao & Zhecheng Zhang & Dongdong Feng & Yongjie Wang & Zhengshun Zhang, 2023. "A Real-Time Calculation Method to Improve Boiler Safety in Deep Peak Shaving Cases," Energies, MDPI, vol. 16(13), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4928-:d:1178609
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    References listed on IDEAS

    as
    1. Xin Guo & Liangwei Xia & Guangbo Zhao & Guohua Wei & Yongjie Wang & Yaning Yin & Jianming Guo & Xiaohan Ren, 2022. "Steam Temperature Characteristics in Boiler Water Wall Tubes Based on Furnace CFD and Hydrodynamic Coupling Model," Energies, MDPI, vol. 15(13), pages 1-28, June.
    2. Liu, Laibao & Wang, Zheng & Wang, Yang & Wang, Jun & Chang, Rui & He, Gang & Tang, Wenjun & Gao, Ziqi & Li, Jiangtao & Liu, Changyi & Zhao, Lin & Qin, Dahe & Li, Shuangcheng, 2020. "Optimizing wind/solar combinations at finer scales to mitigate renewable energy variability in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    3. Wu, Xiaofeng & Fan, Weidong & Liu, Yacheng & Bian, Bao, 2019. "Numerical simulation research on the unique thermal deviation in a 1000 MW tower type boiler," Energy, Elsevier, vol. 173(C), pages 1006-1020.
    4. Laubscher, Ryno & Rousseau, Pieter, 2020. "Numerical investigation on the impact of variable particle radiation properties on the heat transfer in high ash pulverized coal boiler through co-simulation," Energy, Elsevier, vol. 195(C).
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