| 细颗粒湍流聚并的分区法群平衡模拟 |
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| 引用本文： | 柳冠青,李水清,曹文广,张伟阔,石战胜.细颗粒湍流聚并的分区法群平衡模拟[J].工程热物理学报,2021(4):938-943. |
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| 作者姓名： | 柳冠青 李水清 曹文广 张伟阔 石战胜 |
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| 作者单位： | 中国华电集团科学技术研究总院有限公司;清华大学能源与动力工程系热科学与动力工程教育部重点实验室;长沙理工大学能源与动力工程学院 |
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| 基金项目： | 国家重点研发计划项目(No.2017YFB0603203)。 |
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| 摘 要： | 通过聚并促进细颗粒(PM2.5)特别是亚微米颗粒(PM1.0)团聚长大或被大颗粒捕集,是提高其脱除效率的有效方法之一。本文采用分区法对燃煤电厂尾部烟气中飞灰的聚并进行了群平衡模拟研究。利用圆柱阵列实现的湍流聚并装置,圆柱横向间距为4倍直径时,纵向间距宜在圆柱直径的15~30倍之间,在工程上较为可行的条件下,对于PM1.0可达到55%或更高的聚并效率。粗颗粒的存在对于细颗粒聚并具有明显的促进作用,聚并停留时间越短,该作用相对越显著。
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| 关 键 词： | 细颗粒 湍流聚并 分区法 群平衡 |
Modelling on the Turbulence Agglomeration of Fine Particles With Sectional Method of Population Balance Model |
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| LIU Guan-Qing,LI Shui-Qing,CAO Wen-Guang,ZHANG Wei-Kuo,SHI Zhan-Sheng.Modelling on the Turbulence Agglomeration of Fine Particles With Sectional Method of Population Balance Model[J].Journal of Engineering Thermophysics,2021(4):938-943. |
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| Authors: | LIU Guan-Qing LI Shui-Qing CAO Wen-Guang ZHANG Wei-Kuo SHI Zhan-Sheng |
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| Institution: | (China Huadian Science and Technology Institute,Beijing 100070,China;Key Laboratory for Thermal Science and Power Engineering of M inistry of Education,Department of Energy and Power Engineering,Tsinghua University,Beijing 100084,China;School of Energy and Power Engineering,Changsha University of Science and Technology,Changsha 410076,China) |
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| Abstract: | Capture and removal of fine particles(e.g.PM2.5)and submicron particles(PM1.0)in particular,can be effectively improved through agglomeration of particles in the upstream of precipitators.In this work,sectional method of population balance model was adopted to investigate the turbulence agglomeration of flyash particles in the flue gas of coal-fired power plants.The agglomerator was consisted of regular cylinder arrays.With transverse spacing of four times of the cylinder diameter and longitudinal spacing in between 15~30 times of the cylinder diameter,the agglomeration efficiency of PM1.0 was over 55%under engineering applicable conditions.Large particles could greatly enhance the agglomeration of fine particles,which was relatively more profound when the agglomeration residence time was short. |
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| Keywords: | fine particles turbulence agglomeration sectional method population balance model |
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