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Significance of the particle physical properties and the Geldart group in the use of correlations for the prediction of minimum fluidization velocity of biomass–sand binary mixtures
Biomass Conversion and Biorefinery ( IF 4 ) Pub Date : 2021-01-21 , DOI: 10.1007/s13399-020-01189-9
Louis Edwards Cáceres-Martínez , Diana Carolina Guío-Pérez , Sonia Lucía Rincón-Prat

The present study explores the relevance of the physical properties of biomass particles on the determination of the minimum fluidization velocity (Umf) of binary mixtures. Fluidization experiments were performed in a cold flow unit with diverse biomasses mixed with sand in different mass fractions. Gas velocity and pressure drop across the bed were used to determine Umf. Different correlations reported in the literature were evaluated on their ability to accurately predict Umf of the mixtures. Results showed satisfactory predictions when appropriately identifying correlations according to the corresponding Geldart groups for the biomass particles. This perspective opens new possibilities toward the generalization of correlation factors and helps in improving the accuracy of the prediction for highly heterogeneous mixtures. The methodology also allows the analysis of mixtures for which the experimental approach is difficult, such as those including char particle, with the only requirement of carefully measuring the physical properties of the particles.



中文翻译:

粒子物理性质和Geldart组在利用相关性预测生物质-沙二元混合物最小流化速度中的意义

本研究探讨了生物质颗粒的物理性质与确定二元混合物的最小流化速度(U mf)的相关性。在冷流单元中进行流化实验,将不同质量分数的多种生物质与沙子混合。穿过床的气体速度和压降用于确定U mf。评估了文献中报道的不同相关性以准确预测U mf的能力的混合物。当根据相应的生物质颗粒的Geldart组适当识别相关性时,结果显示出令人满意的预测。这种观点为关联因子的泛化开辟了新的可能性,并有助于提高高度异构混合物的预测准确性。该方法还可以分析难以采用实验方法的混合物,例如包括炭颗粒的混合物,仅需要仔细测量颗粒的物理性质即可。

更新日期:2021-01-21
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