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Investigation and Control Technology on Excessive Ammonia-Slipping in Coal-Fired Plants

Author

Listed:
  • Xuan Yao

    (Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
    Beijing Guodian Longyuan Environmental Engineering CO.LTD, Haidian District, Beijing 100039, China)

  • Man Zhang

    (Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Hao Kong

    (Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Junfu Lyu

    (Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Hairui Yang

    (Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

Abstract

After the implementation of the ultra-low emissions regulation on the coal-fired power plants in China, the problem of the excessive ammonia-slipping from selective catalytic reduction (SCR) seems to be more severe. This paper analyzes the operating statistics of the coal-fired plants including 300 MW/600 MW/1000-MW units. Statistics data show that the phenomenon of the excessive ammonia-slipping is widespread. The average excessive rate is over 110%, while in the small units the value is even higher. A field test data of nine power plants showed that excessive ammonia-slipping at the outlet of SCR decreased following the flue-gas process. After most ammonia reduced by the dust collector and the wet flue-gas desulfurization (FGD), the ammonia emission at the stack was extremely low. At same time, a method based on probability distribution is proposed in this paper to describe the relationship between the NH 3 /NOX distribution deviation and the De–NOX efficiency/ammonia-slipping. This paper also did some original work to solve the ammonia-slipping problem. A real-time self-feedback ammonia injection technology using neural network algorithm to predict and moderate the ammonia distribution is proposed to decrease the NH 3 /NOX deviation and excessive ammonia-slipping. The technology is demonstrated in a 600-MW unit and works successfully. The excessive ammonia-slipping problem is well controlled after the implementation of the technology.

Suggested Citation

  • Xuan Yao & Man Zhang & Hao Kong & Junfu Lyu & Hairui Yang, 2020. "Investigation and Control Technology on Excessive Ammonia-Slipping in Coal-Fired Plants," Energies, MDPI, vol. 13(16), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4249-:d:400056
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    Citations

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    Cited by:

    1. Yue Cao & Tao Li & Tianyu He & Yuwei Wei & Ming Li & Fengqi Si, 2022. "Multiobjective Load Dispatch for Coal-Fired Power Plants under Renewable-Energy Accommodation Based on a Nondominated-Sorting Grey Wolf Optimizer Algorithm," Energies, MDPI, vol. 15(8), pages 1-19, April.
    2. Gao, Wei & Liu, Ming & Yin, Junjie & Zhao, Yongliang & Chen, Weixiong & Yan, Junjie, 2023. "An improved control strategy for a denitrification system using cooperative control of NH3 injection and flue gas temperature for coal-fired power plants," Energy, Elsevier, vol. 282(C).
    3. Xiaoqiang Chen & Xinye Ji & Jinjin Feng & Lijun Heng & Lingling Zhao, 2023. "Laboratory Study on Adhesive Ash Deposition Characteristics of Ammonium Bisulfate in Conditions Simulating an Air Preheater for Hard Coal Combustion," Energies, MDPI, vol. 16(18), pages 1-17, September.

    More about this item

    Keywords

    SCR; ammonia-slipping; NOX; NH3/NOX distribution;
    All these keywords.

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