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超声法脱硫浆液粒径和浓度在线测量研究

On-line measurement of particle size and concentration of ultrasonic desulfurization slurry

  • 摘要: 石灰石浆液浓度和粒径是影响燃煤电厂烟气脱硫效率的关键因素,其在线测量对于制浆工艺过程非常重要。采用Harker & Temple耦合相叠加Bouguer–Lambert–Beer–Law散射超声模型描述超声波在浆液中的衰减。开展实验,根据超声相速度谱分析建立相对声速与浆液体积浓度的拟合关系,获得修正浓度非线性效应的模型系数矩阵,结合超声衰减谱和差分进化算法反演石灰石颗粒粒径分布,评估浆液浓度变化对粒径分布反演结果的影响。研制在线测试系统,对燃煤电厂石灰石浆液浓度和粒径进行24小时连续在线监测,结果表明磨机稳定段浆液体积浓度维持在18.79±2.47%,调节段浓度10.95~32.95%;测试过程浆液体积中位径介于16.73~21.88 μm,其与图像法的误差小于9%。利用超声法实时监测脱硫浆液的浓度和粒径分布,为运行人员调整磨机状态提供支持,达到节能运行、降低脱硫成本的目的。

     

    Abstract: Limestone slurry concentration and particle size are key factors affecting the efficiency of flue gas desulfurization (FGD) in coal-fired power plants, and their on-line measurement is very important for the slurrying process. The Harker & Temple coupled phase combined with Bouguer–Lambert–Beer Law scattering ultrasonic model was used to describe the attenuation of ultrasonic waves in the slurry. Experiments were carried out to establish the fitting relationship between relative sound velocity and slurry volume concentration based on the ultrasonic phase velocity spectral analysis, to obtain the model coefficient matrix correcting for the nonlinear effect of concentration. By combining the ultrasonic attenuation spectra, the differential evolution algorithm was employed to invert the particle size distribution of limestone, and to assess the influence of changes in slurry concentration on the resultant particle size distribution. An online test system was developed to continuously monitor the limestone slurry concentration and particle size in a coal-fired power plant for 24 hours. The results show that the slurry volume concentration in the stabilized section of the mill is maintained at 18.78±2.47%, while the concentration in the regulated section ranges from 10.95% to 32.95%; the median diameter of the slurry volume during the testing process ranges from 16.73 to 21.88 μm, and the error between this method and the image method is less than 9%. Thus, the ultrasonic method has been used to monitor the concentration and particle size distribution of desulfurization slurry in real time, which provides support for operators to adjust the mill status, achieving the purpose of energy-saving operation and reducing desulfurization costs.

     

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