流化床中颗粒偏析的模拟

J. C. Bandara, R. Thapa, Britt M. E. Moldestad, Marianne S. Eikeland
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引用次数: 4

摘要

流态化技术因其效率高、传热传质速率大、反应器内操作条件均匀等优点,在固体加工工业中得到了广泛的应用。生物质气化是一种新兴的可再生能源技术,其中流化床反应器比固定床反应器系统更受欢迎,因为它们具有可扩展性,可以提供高吞吐量。大型生物质颗粒的流态化是困难的,因此该过程由密度较高的床料辅助。不同类型颗粒的组合使得反应器内流体动力学行为的预测具有挑战性。利用商业软件Barracuda VR进行了计算粒子流体动力学模拟,研究了不同密度和粒径颗粒混合物的流化特性。两种颗粒的密度比为6,这是气化炉中床料与生物质的典型比例。用Barracuda VR对床层压降和最小流化速度的模拟结果与已有的实验数据吻合较好。实验数据与模拟结果的偏差小于12%。在模拟和实验研究中都清楚地观察到粒子偏析。
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Simulation of Particle Segregation in Fluidized Beds
Fluidization technology is widely used in solid processing industry due to the high efficiency, high heat and mass transfer rate and uniform operating conditions throughout the reactor. Biomass gasification is an emerging renewable energy technology where fluidized bed reactors are more popular compared to fixed bed reactor systems due to their scalability to deliver high throughput. Fluidization of large biomass particles is difficult, and the process is therefore assisted by a bed material with higher density. The combination of different types of particles makes it challenging to predict the fluid-dynamic behavior in the reactor. Computational particle fluid dynamics simulations using the commercial software Barracuda VR were performed to study the fluidization properties for a mixture of particles with different density and size. The density ratio for the two types of particles was six, which is the typical ratio for bed material to biomass in a gasifier. The results from simulations with Barracuda VR regarding bed pressure drop and the minimum fluidization velocity, show good agreement with available experimental data. The deviation between experimental data and simulations are less than 12%. Particle segregation was clearly observed both in the simulations and in the experimental study.
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