Modeling Agglomeration Behavior in High Temperature Gas–Solid Fluidized Beds via Monte Carlo Method

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• 作者：Qiang Shi ; Zhengliang Huang ; Musango Lungu ; Zuwei Liao ; Jingdai WangYongrong Yang
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2017
• 出版时间：February 1, 2017
• 年：2017
• 卷：56
• 期：4
• 页码：1112-1121
• 全文大小：556K
• ISSN：1520-5045

文摘

Particles and bubbles are important discrete elements in gas–solid fluidized beds. The interactions between them affect the evolution of agglomerates. Based on the analyses of microscopic physical processes, mathematical models of particle coalescence and agglomerate breakage caused by bubble expansion were developed. Coupling with the constant-number Monte Carlo method, the evolution of particle size distribution was simulated. Modeling results matched well with cold-mode experiment results, which demonstrated that the approach is a promising way to predict agglomeration behavior in the fluidized beds. Also, the coalescence efficiency β₀ and breakage efficiency β_b extracted from Monte Carlo results can provide rate constants for the kernels in population balance modeling. Further investigations of the effects of process parameters show that decreasing bed temperature or increasing superficial gas velocity reduces the coalescence efficiency and increases the breakage efficiency, which are beneficial to prevent agglomeration.