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Volume 15, No. 7, December 2015, Pages 2709-2719 PDF(1.48 MB)  
doi: 10.4209/aaqr.2015.06.0418   

Systematic Approach to Optimization of Submicron Particle Agglomeration Using Ionic-Wind-Assisted Pre-Charger

Qianyun Chang1, Chenghang Zheng1, Xiang Gao1, Penchi Chiang2, Mengxiang Fang1, Zhongyang Luo1, Kefa Cen1

1 State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China
2 Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan

 

Highlights
  • An ionic-wind-assisted pre-charger was designed for particle agglomeration.
  • Effects of perforated plate porosity on particle agglomeration was discussed.
  • Effects of discharging voltage match on particle pre-charging was discussed.
  • An optimal solution was achieved for particle agglomeration and collection.

Abstract

 

Electric agglomeration is the process in which particles are charged in electric fields and coagulate, which is enhanced by electric force or turbulence. The collection efficiency of submicron particles is improved, which can be a solution to submicron particle abatement in traditional electrostatic precipitators (ESPs), by using a pre-charger to increase median particle diameter and realizing particle pre-charging. In this study, a laboratory bipolar pre-charger with a perforated plate between discharging regions was designed to examine ionic-wind-assisted charge-induced agglomeration, and an ESP was arranged afterwards to collect the fine particles. Experiments were conducted to investigate submicron particle charging, agglomeration characteristics, and collection efficiency. Results indicated that a pre-charger with proper discharging voltage match and plate porosity can optimize particle agglomeration and improve collection efficiency by about 12% compared with the results obtained without a pre-charger. An optimal solution was achieved and a collecting efficiency of 96%–98% was obtained for all sizes by utilizing the turbulence caused by ionic wind and optimizing the experimental operation conditions.

 

 

Keywords: Bipolar pre-charger; Electric agglomeration; Particulate matter; PM2.5; Electrostatic precipitator.

 

 

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