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Analysis of Residence Time Distributions of Different Solid Biomass Fuels by using Radio Frequency Identification (RFID)

机译:利用射频识别(RFID)分析不同固体生物质燃料的停留时间分布

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摘要

The residence time distributions of different typical solid biomass fuels such as wood pellets, wood chips, and wood cubes are measured on a scaled model of a forward-acting grate in continuous operation by using radio frequency identification (RFID). A variation of motion patterns, grate operational conditions, and bed material is performed. Based on the residence time distributions, diffusion coefficients are derived, which are a measure for mixing on the grate and are of importance as input parameters of fuel-bed models in CFD simulations of grate-firing systems. RFID measurements have the advantage to be capable of tracking multiple particles without requiring visual contact. Residence time distributions are obtained without any artifacts introduced by the feeding equipment or manual charging. It is found that the diffusion coefficients obtained are in agreement with the results of other measurements performed in literature. The diffusion coefficients increase with enhanced stroke length and stroke velocity as well as with decreasing bed layer thickness and particle sizes. Particle shape has a strong influence on longitudinal mixing and the diffusion coefficients.
机译:使用射频识别(RFID),在连续操作的前向炉排的比例模型上,测量了不同的典型固体生物质燃料(例如木屑,木屑和木块)的停留时间分布。进行运动模式,炉排操作条件和床料的变化。根据停留时间分布,得出扩散系数,扩散系数是在炉排上进行混合的一种度量,在炉排燃烧系统的CFD模拟中,作为燃料床模型的输入参数非常重要。 RFID测量的优势在于无需视觉接触即可跟踪多个颗粒。可以获得停留时间分布,而无需通过进料设备或手动装料引入任何假象。发现所获得的扩散系数与文献中进行的其他测量的结果一致。扩散系数随着冲程长度和冲程速度的增加以及床层厚度和粒径的减小而增加。颗粒形状对纵向混合和扩散系数有很大影响。

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