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Related Experiment Videos

[The utility boiler low NOx combustion optimization based on ANN and simulated annealing algorithm].

Hao Zhou1, Xinping Qian, Ligang Zheng

  • 1Clean Energy and Environment Engineering Key Lab of MOE, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, China. zhouhao@cmee.zju.edu.cn

Huan Jing Ke Xue= Huanjing Kexue
|February 11, 2004
PubMed
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Researchers optimized low nitrogen oxide (NOx) combustion in a 600 MW coal-fired boiler using artificial neural network (ANN) modeling and a simulated annealing (SA) algorithm. This approach achieved reduced NOx emissions, providing a foundation for on-line boiler control.

Area of Science:

  • Environmental Science
  • Combustion Engineering
  • Artificial Intelligence

Background:

  • Increasing environmental protection demands necessitate efficient low-emission combustion technologies.
  • Coal-fired boilers are significant sources of nitrogen oxide (NOx) emissions.
  • Optimizing combustion for reduced NOx is crucial for industrial sustainability.

Purpose of the Study:

  • To investigate NOx emission characteristics in a 600 MW coal-fired boiler.
  • To optimize boiler combustion for low NOx emissions using computational methods.
  • To establish a foundation for on-line control of low-NOx combustion.

Main Methods:

  • Field experiments were conducted to measure NOx emissions.
  • Artificial Neural Network (ANN) modeling was used for simulation.

Related Experiment Videos

  • Simulated Annealing (SA) algorithm optimized combustion parameters.
  • Two sets of SA parameters were evaluated for optimal performance.

    • Main Results:

    • The study identified optimal combustion schemes for reduced NOx emissions.
    • Specific SA parameters (T0 = 50 K, alpha = 0.6) demonstrated superior optimization.
    • The integrated ANN and SA approach effectively minimized NOx concentrations.
    • Experimental validation confirmed the model's efficacy.

    Conclusions:

    • The developed method provides an effective strategy for low-NOx combustion optimization.
    • The findings support the implementation of on-line control systems for coal-fired boilers.
    • This research contributes to cleaner energy production and environmental protection efforts.