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Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant

Author

Listed:
  • Yuanhao Shi

    (School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China
    Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China)

  • Qiang Li

    (School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China)

  • Jie Wen

    (School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China)

  • Fangshu Cui

    (School of Data and Computer Technology, North University of China, Taiyuan 03001, China)

  • Xiaoqiong Pang

    (School of Data and Computer Technology, North University of China, Taiyuan 03001, China)

  • Jianfang Jia

    (School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China)

  • Jianchao Zeng

    (School of Data and Computer Technology, North University of China, Taiyuan 03001, China)

  • Jingcheng Wang

    (Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China
    Autonomous Systems and Intelligent Control International Joint Research Center, Xi’an Technological University, Xi’an 710021, China)

Abstract

Because of the present ineffective method of soot blowing on a boiler’s heating surface in a coal-fired power plant, and to improve the economic benefit of the boiler in the power plant, weigh the improvement of boiler efficiency and steam loss brought by soot blowing, and ensure the safe operation of the unit, an optimization model of soot blowing on the boiler’s heating surface is established. Taking the economizer of the 300 MW coal-fired power plant unit as the research object, the measurement data and basic thermodynamic calculation data of the Distributed Control System (DCS) of the thermal power plant are used to calculate the fouling rate of the heated surface in real time. By analyzing the multi-group fouling rate under the same working conditions, the incremental distribution of the same measuring point at different times is obtained, and the expectation is obtained according to the distribution curve. The state of heating of the heated surface at a time in the future is predicted by the known initial cleaning state. By analyzing the trend of the fouling rate and combining the soot blowing optimization model, a set of soot blowing optimization strategies are proposed. The method proposed in this manuscript can be applied to the guidance of boiler soot blowing operation.

Suggested Citation

  • Yuanhao Shi & Qiang Li & Jie Wen & Fangshu Cui & Xiaoqiong Pang & Jianfang Jia & Jianchao Zeng & Jingcheng Wang, 2019. "Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant," Energies, MDPI, vol. 12(15), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2901-:d:252396
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    References listed on IDEAS

    as
    1. Yuanhao Shi & Jie Wen & Fangshu Cui & Jingcheng Wang, 2019. "An Optimization Study on Soot-Blowing of Air Preheaters in Coal-Fired Power Plant Boilers," Energies, MDPI, vol. 12(5), pages 1-15, March.
    2. Ming Dong & Sufen Li & Jun Xie & Jian Han, 2013. "Experimental Studies on the Normal Impact of Fly Ash Particles with Planar Surfaces," Energies, MDPI, vol. 6(7), pages 1-18, July.
    3. Ming Dong & Jian Han & Sufen Li & Hang Pu, 2013. "A Dynamic Model for the Normal Impact of Fly Ash Particle with a Planar Surface," Energies, MDPI, vol. 6(8), pages 1-20, August.
    4. Sandberg, Jan & Fdhila, Rebei Bel & Dahlquist, Erik & Avelin, Anders, 2011. "Dynamic simulation of fouling in a circulating fluidized biomass-fired boiler," Applied Energy, Elsevier, vol. 88(5), pages 1813-1824, May.
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    Cited by:

    1. Yuanhao Shi & Mengwei Li & Jie Wen & Yanru Yang & Fangshu Cui & Jianchao Zeng, 2021. "Heat Transfer Efficiency Prediction of Coal-Fired Power Plant Boiler Based on CEEMDAN-NAR Considering Ash Fouling," Energies, MDPI, vol. 14(13), pages 1-19, July.
    2. Wang, Yanhong & Cao, Lihua & Li, Xingcan & Wang, Jiaxing & Hu, Pengfei & Li, Bo & Li, Yong, 2020. "A novel thermodynamic method and insight of heat transfer characteristics on economizer for supercritical thermal power plant," Energy, Elsevier, vol. 191(C).
    3. Hang Yin & Yingai Jin & Liang Li & Wenbo Lv, 2022. "Numerical Investigation on the Impact of Exergy Analysis and Structural Improvement in Power Plant Boiler through Co-Simulation," Energies, MDPI, vol. 15(21), pages 1-19, October.
    4. Shuiguang Tong & Xiang Zhang & Zheming Tong & Yanling Wu & Ning Tang & Wei Zhong, 2019. "Online Ash Fouling Prediction for Boiler Heating Surfaces based on Wavelet Analysis and Support Vector Regression," Energies, MDPI, vol. 13(1), pages 1-20, December.
    5. Fangshu Cui & Sheng Qin & Jing Zhang & Mengwei Li & Yuanhao Shi, 2022. "A Hybrid Method for Prediction of Ash Fouling on Heat Transfer Surfaces," Energies, MDPI, vol. 15(13), pages 1-15, June.

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