粒子(生态学)
Cyclone(编程语言)
入口
粒径
分类
粒子数
分析化学(期刊)
材料科学
微粒
化学
环境科学
色谱法
化学工程
物理
热力学
工程类
嵌入式系统
计算机科学
程序设计语言
有机化学
地质学
体积热力学
现场可编程门阵列
海洋学
机械工程
作者
Pengbo Fu,Xia Jiang,Liang Ma,Qiang Yang,Zhishan Bai,Xuejing Yang,Jianqi Chen,Wei Yuan,Hualin Wang,Wenjie Lv
标识
DOI:10.1021/acs.est.8b03921
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 μm and the inlet particle concentration was 500 mg/m3. 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.
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