Simulation Research on Particle Collection Efficiency of Electrostatic Precipitators

Author:

Jin Shuo1,Gao Meng1,Xiao Ji-Xiong1,Zhang Xiao-Xing1,Han Wen-Hao1,Deng Qian-Jun2,Guo Ying-Hao2,Yang Yang2

Affiliation:

1. Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan, 430068, P. R. China

2. Xiangyang Jiuding Haotian EP Equipment Co., LTD., Xiangyang, 441047, P. R. China

Abstract

Electrostatic precipitators (ESP) have been widely used to remove particles from exhausted gases in many industrial processes. The performance of ESPs is affected by operating parameters such as inlet velocity, applied voltage and other factors. A numerical method of multi-field coupling is used to study the influence of different factors on the distributions of electric field and flow field in an ESP. The results show that the particle collection efficiency of 0.1–10 µm particles has a U-shaped distribution relationship with particle size. With the increase of applied voltage and electrode length, and the decrease of inlet velocity and anode-cathode distance, the particle collection efficiency increases. The established numerical model and corresponding conclusion can provide some guidance for the optimal design of ESPs.

Publisher

American Scientific Publishers

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Reference22 articles.

1. Development of advanced electrostatic precipitation technologies for reducing PM2. 5 emissions from coal-fired power plants.;Xiong;Proceedings of the CSEE,2015.

2. Particle removal efficiency analysis of WESP in an ultra low emission coal-fired power plant.;Lei;Proceedings of the CSEE,2016.

3. Experiments and numerical simulations of the removal of fine particles in the coupling field of electrostatic precipitators.;Zhou;Proceedings of the CSEE,2016.

4. Analysis of electric field and current density in an electrostatic precipitator.;Nouri;IEEE Transactions on Dielectrics and Electrical Insulation,2016.

5. Visualization of dust collection in DC-corona-driven electrostatic precipitator.;Podlinski;IEEE Transactions on Plasma Science,2011.

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