【摘要】 运用颗粒团聚技术实现除尘器内部细颗粒的高效捕集是未来除尘技术发展的重要趋势。针对生物质燃料玉米秸与无烟煤不同掺混比例的混烧灰,基于Fluent软件,利用颗粒群平衡模型(PBM),通过自定义函数(UDF)功能导入热团聚核函数,对其在除尘器内部的热团聚情况进行计算,分析其团聚效果。研究结果表明,热团聚对于细颗粒的团聚具有重要作用,尤其是对亚微米级颗粒效果十分显著,在电除尘器内部热团聚的作用不可忽略。当颗粒体积分数为1.4%,流场流速为1 m/s,混烧比为10%时,混烧灰的热团聚效果最优。因此,对于掺混10%左右生物质进行混燃发电的燃煤机组,可采用在电除尘器的前级电场利用热聚并法对细颗粒进行团聚以致高效减排。更多还原

【Abstract】 Using thermal aggregation technology to achieve efficiently trapping of fine particle is the development tendency of dust removal in the future. For different co- combustion ratio of corn stalk biomass fuels and anthracite,calculated the particle thermal agglomeration situation in ESP and analyzed the coalescence effect,basing on Fluent software,using particle balance model( PBM) and user defined function( UDF) to import the thermal agglomeration kernel function. The produce data show that thermal agglomeration plays an important role for fine particle; especially the sub- micron particle effect is significant,and the heat agglomeration role can not be neglected in the ESP. When the particle volume fraction is 1. 4%,the flow field velocity of 1 m / s,the co- combustion ratio under 10%,thermal agglomeration situation of co- combustion ash is optimal. So,for the10% biomass / coal co- combustion generator units,it’s feasible to use thermal coalescence method in front electric field of ESP,which is beneficial for fine particle emission reduction.更多还原