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激光吸收光谱技术应用于锅炉优化控制研究

Application of tunable diode laser absorption to optimize boiler control

  • 摘要: 为了提高电站锅炉自动化程度,为真实锅炉的优化控制提供新颖的实时在线测量手段,采用计算机层析重建和激光吸收光谱技术相结合的方法,进行了理论分析和实验验证。仿真实验证明了仅采用2个投影方向即能够实现温度峰值位置的重建及其相对高低的分辨;布置6条测量路径形成测量网格,得到真实锅炉炉膛的实时在线2-D温度场重建数据。结果表明,炉膛平均温度与锅炉蒸汽流量的相关系数达到0.91,回归分析得到决定系数为0.88;可将平均温度作为炉膛内实时的总辐射能的表征,用于避免锅炉超调,根据温度可获知燃料总的热值波动,2-D温度场的重建可用于锅炉调平。该研究为锅炉提供了非接触式测量手段,为提高锅炉自动化程度和研究燃烧优化控制提供了重要支持。

     

    Abstract: To improve the automation degree and provide a novel real-time, in situ measurement methods of optimizing real boiler control, tunable diode absorption spectroscopy (TDLAS) combined with computed tomography reconstruction was proposed by theoretical analysis and experimental validation. It was proved by simulation that the peak location could be reconstructed and the relative values could be distinguished in case of only two projections. Six measuring grid was arranged to obtain the reconstructed 2-D temperature distribution. The result showes that the correlation coefficient between the averaged temperature and load is 0.91. Linear regression analysis showes that the coefficient of determination is 0.88. The averaged temperature could represent the real-time total radiation, which can be used to avoid over adjusting and obtain the heat value. The 2-D temperature distribution can be used to leveling the boiler. It was concluded that this method provides important support to the non-intrusive in-situ temperature measurement and study of optimizing combustion control.

     

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