首页|CFB锅炉宽筛分颗粒临界流化风速研究

CFB锅炉宽筛分颗粒临界流化风速研究

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基于计算颗粒流体力学(CPFD),通过表征常规CFB锅炉床料(Set 1)、增加炉内细颗粒含量(Set 2)和减小初始床支撑料粒度(Set 3)3种筛分分布的SiO2颗粒,研究颗粒筛分变化对临界流化风速的影响。研究结果表明:在相同床层高度下,Set 1、Set 2和Set 3床料的临界流化风速分别为0。51、0。30和0。20 m/s。表明增加炉内细颗粒含量和减小初始床支撑料粒度均可明显降低临界流化风速。将宽筛分颗粒临界流化风速的数值模拟结果与相关关联式预测结果进行对比,表明ERGUN关联式的预测结果偏差较小,WEN-YU关联式的预测结果明显偏低。
Study on critical fluidization velocity of wide size distribution particles in CFB boilers
Computational particle fluid dynamics(CPFD)numerical simulations were used to investigate the effect of particle size distribution changes on critical fluidization velocity by characterizing SiO2 particles from three different distributions i.e.,conventional bed materials in CFB boiler(Set 1),increased content of fine particles within the boiler(Set 2),and reduced particle size of initial bed support materials(Set 3).The results show that at the same bed height,the critical fluidization velocities of the Set 1,Set 2 and Set 3 bed materials are 0.51,0.30 and 0.20 m/s,respectively.The results show that increasing the fine particle content in the furnace and reducing the particle size of the initial bed support material can significantly reduce the critical fluidization velocity.Comparing the numerical simulation results of the critical fluidization velocity for wide particle size distributions with the prediction results of related correlations,the prediction results from the Ergun correlation have a small deviation,while the prediction results of the Wen-Yu correlation are significantly lower.

CFB boilercritical fluidization velocitywide size distribution particlecomputational particle fluid dynamics

于艺、马有福、吕俊复

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上海理工大学上海市动力工程多相流动与传热重点实验室,上海,200093

怀柔实验室山西研究院,山西太原,030032

清华大学教育部热科学与动力工程重点实验室,北京,100084

循环流化床锅炉 临界流化风速 宽筛分颗粒 计算颗粒流体力学

国家重点研发计划项目National Key Research and Development Program of China

2023YFB4005701

2024

中南大学学报(自然科学版)
中南大学

中南大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.938
ISSN:1672-7207
年,卷(期):2024.55(7)