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Prediction and Control of the Nitrogen Oxides Emission for Environmental Protection Goal Based on Data-Driven Model in the SCR de-NO x System

Author

Listed:
  • Chang Liu

    (Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710032, China)

  • Bo Hu

    (Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710032, China)

  • Meiyan Song

    (Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710032, China)

  • Yuan Yang

    (Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710032, China)

  • Guangquan Xian

    (Nanjing NR Electric Co., Ltd., Nanjing 211102, China)

  • Liang Qu

    (Nanjing NR Electric Co., Ltd., Nanjing 211102, China)

  • Ze Dong

    (Hebei Technology Innovation Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071066, China)

  • Laiqing Yan

    (School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China)

Abstract

In order to reduce the nitrogen oxides (NO x ) emission of flue gas, a selective catalytic reduction (SCR) system must be installed. In general, the lag of the inlet NO x analyzer, the action of the NH 3 injection valve and the feedforward signal are seriously delayed. Therefore, it is necessary to consider the measurement lag of inlet NO x on the NH 3 injection flowrate control system. In this paper, the data-driven model of inlet NO x is proposed to improve control system, so as to avoid excessive or insufficient NH 3 injection. First, the measurement lag time of inlet NO x is estimated by the blowback signal of a CEMS and the change process of the inlet O 2 content. Then, an exponential model is used to predict the inlet NO x in advance, and recursive LSSVM is proposed to revise the output of the exponential model. Finally, the output of the final model is used as the feedforward signal for improved feedforward (IF) control. Based on IF control and PID control, the IF-PID control strategy for NH 3 injection is proposed. The results show that the outlet NO x are close to the set value and meet the national environmental regulation. Furthermore, the average value of the NH 3 injection flowrate remains unchanged. It shows that a better control effect and environmental sustainability are achieved without increasing the cost of NH 3 injection.

Suggested Citation

  • Chang Liu & Bo Hu & Meiyan Song & Yuan Yang & Guangquan Xian & Liang Qu & Ze Dong & Laiqing Yan, 2022. "Prediction and Control of the Nitrogen Oxides Emission for Environmental Protection Goal Based on Data-Driven Model in the SCR de-NO x System," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12534-:d:931175
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    References listed on IDEAS

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    1. Xie, Peiran & Gao, Mingming & Zhang, Hongfu & Niu, Yuguang & Wang, Xiaowen, 2020. "Dynamic modeling for NOx emission sequence prediction of SCR system outlet based on sequence to sequence long short-term memory network," Energy, Elsevier, vol. 190(C).
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    Cited by:

    1. 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).

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