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静电增强湿式除尘器的优化运行 被引量:9

Operation Optimization of Electrostatically Enhanced Wet Scrubbers
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摘要 利用颗粒和液滴间的静电吸引力可以大幅度提高传统湿式重力喷淋除尘器的除尘性能。着重分析液滴荷电而颗粒不荷电的湿式除尘器的工作状况,阐述了布朗扩散、拦截、惯性碰撞和静电捕集等4种除尘机理。介绍了典型工况中该除尘器烟尘颗粒度分布,并通过分析捕集速率(沉积核)的方式对该除尘器的运行优化进行了分析。结果表明:含尘气流输运速度越大,液滴喷射速度越小;液滴几何尺度越小,液滴荷质比越高;液气比越大,越有利于可吸入颗粒物的高效脱除。 The dedusting performance of traditional wet scrubbers, based on gravitation, can remarkably be improved by making use of electrostatic attraction forces between particles and droplets. Electrostatically enhanced wet scrubbers, which have only the droplets but not the dust particles electrically charged, are mainly being analyzed and four dedusting mechanism discussed, i.e. by Brownian diffusion, by interception, by inertial collision and by electrostatic clustering. The dust particles' size optimizing the scrubber indicate, that all the fo distribution in the deduster, under typical operating condition, is described and the possibility of 's operation analyzed by way of analyzing the rate of clustering (deposition kernels) . Study results llowing circumstances are beneficial for raising the efficiency of removing inhalable particles, i. e. : higher flow velocity of dust entraining gas, or slower spraying velocity of the liquid droplets; smaller average size; larger electric charge to mass ratio of the droplets and a larger liquid to gas ratio.
出处 《动力工程》 EI CAS CSCD 北大核心 2007年第6期954-959,968,共7页 Power Engineering
基金 国家重点基础研究专项经费资助项目(2006CB200304) 国家自然科学基金重点资助项目(90410017)
关键词 环境工程学 湿式除尘器 除尘效率 颗粒群平衡模拟 可吸入颗粒物 environmental engineering wet scrubber dedusting efficiency population balance modeling inhalableparticulate matter
作者简介 赵海波(1977-),男,湖南宁乡人,副教授,博士,主要从事煤燃烧污染物控制等方面基础研究。
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