文献类型：期刊文献

英文题名：Enhancement of PM2.5 Cyclone Separation by Droplet Capture and Particle Sorting

作者：Fu, Pengbo[1];Jiang, Xia[2];Ma, Liang[1];Yang, Qang[1];Bai, Zhishan[1];Yang, Xuejing[1];Chen, Jianqi[1];Yuan, Wei[1];Wang, Hualin[1];Lv, Wenjie[1]

机构：[1]East China Univ Sci & Technol, Natl Engn Lab Ind Wastewater Treatment, Shanghai 200237, Peoples R China;[2]Sichuan Univ, Natl Engn Res Ctr Flue Gas Desulfurizat, Chengdu 610065, Sichuan, Peoples R China

年份：2018

卷号：52

期号：20

起止页码：11652

外文期刊名：ENVIRONMENTAL SCIENCE & TECHNOLOGY

收录：;EI(收录号：20184005901884);WOS:【SCI-EXPANDED(收录号:WOS:000447816100022)】；

基金：This work was supported by the sponsorship of the National Science Foundation for Distinguished Young Scholars of China (51125032), sponsorship of the National Key Research and Development Program of China (2016YFC0204500), and the National Natural Science Foundation of China (51608203).

语种：英文

外文关键词：Industrial emissions - Particle size analysis - Particle size - Screening - Energy utilization - Air purification - Environmental technology

摘要：Fine particulate matter (PM2.5) is one of the most serious environmental pollutants worldwide, and efficient separation technologies are crucial to the control of PM2.5 emission from industrial sources. We developed a novel method to enhance PM2.5 cyclone separation by droplet capture and particle sorting using a vertical reverse rotation cyclone (VRR-C, inlet particle-sorting cyclone). The separation performances of common cyclone (CM-C) without droplets, CM-C with droplets, and VRR-C with droplets were compared in terms of energy consumption, overall separation efficiency, particle grade efficiency, outlet particle concentration, and outlet particle size distribution. The results show that the highest overall separation efficiencies were 51.7%, 89.9%, and 94.5% for CM-C without droplets, CM-C with droplets, and VRR-C with droplets, respectively, when the mean diameter of the inlet particles was 3.2 mu m and the inlet particle concentration was 500 mg/m(3). The PM2.5 grade efficiency of VRR-C with droplets was as high as 89.8%, which was 6.2% and 49.9% higher than those of CM-C with droplets and CM-C without droplets, respectively. This novel method was first successfully applied to the deep purification of product gas in the methanol-to-olefin (MTO) industry, for which the separation efficiency of fine catalyst particles was considerably improved.