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Image-Based Characterization of Alternative Fuel Combustion with Multi-Fuel Burners
IEEE Transactions on Industrial Informatics ( IF 12.3 ) Pub Date : 2018-02-01 , DOI: 10.1109/tii.2017.2742533
Markus Vogelbacher , Patrick Waibel , Jorg Matthes , Hubert B. Keller

Many industrial high-temperature processes such as cement production employ multifuel burners in order to achieve the required energy input with low-cost alternative fuel. So far, a constant operation of multifuel burners with high fractions of alternative fuel (>70%) is not possible due to inherent fluctuating fuel properties. Energy input and product quality are directly affected by varying points of combustion time, different scattering of fuel, and insertion of unburned fuel or chemical substances into the product. We propose an image-processing system based on infrared images that detects the alternative fuel streakline and derives parameters for the characterization of the flight and burning behavior. Using these parameters, an adjustment of the burner settings depending on the fluctuating fuel properties can be carried out. This automatic monitoring and control of the combustion process allows an increased use of alternative fuels in constant operation. Experimental data from a rotary kiln for cement clinker production are used to validate the image-processing system.

中文翻译:

基于图像的多燃料燃烧器替代燃料燃烧的表征

许多工业高温过程(例如水泥生产)都采用多燃料燃烧器,以便通过低成本替代燃料实现所需的能量输入。到目前为止,由于固有的波动的燃料特性,不可能以高比例的替代燃料(> 70%)使多燃料燃烧器持续运行。能量输入和产品质量直接受到燃烧时间点的变化,燃料的不同散射以及未燃烧的燃料或化学物质插入产品的直接影响。我们提出了一种基于红外图像的图像处理系统,该系统可检测替代燃料条痕并导出用于表征飞行和燃烧行为的参数。使用这些参数,可以根据波动的燃料特性调整燃烧器设置。燃烧过程的这种自动监视和控制允许在恒定运行中增加使用替代燃料。回转窑用于水泥熟料生产的实验数据用于验证图像处理系统。
更新日期:2018-02-01
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