Electrostatic Precipitator Design Optimization for Fine Particulate Matter Collection in Cement Plant Emissions

Authors

  • Irma Olofsson Department of Geography, Umea University, Umea, Sweden Author
  • Linda Lundmark Department of Geography, Umea University, Umea, Sweden Author
  • Heidi Wechtler Newcastle Business School, The University of Newcastle, Newcastle, NSW, Australia Author

Keywords:

Electrostatic Precipitator, Particulate Matter, Cement Plant Emissions, Air Pollution Control, Design Optimization, Computational Simulation

Abstract

The emission of fine particulate matter from cement manufacturing plants poses significant environmental and public health challenges due to the release of airborne dust particles during production processes. This study focuses on the design optimization of an electrostatic precipitator (ESP) for enhanced collection efficiency of fine particulate matter in cement plant emissions. A comprehensive analytical and numerical investigation was conducted to evaluate the influence of key operational and geometric parameters on particle removal performance. The proposed ESP model incorporates optimized electrode configuration, electric field distribution, gas flow dynamics, and particle charging mechanisms to improve collection efficiency while minimizing energy consumption. Computational simulations were performed to analyze particle trajectories, corona discharge characteristics, and flow uniformity under varying operating conditions. The results revealed that optimized electrode spacing and increased electric field intensity significantly improve the capture efficiency of submicron and fine dust particles. Furthermore, modifications in gas velocity and discharge electrode arrangement contributed to reduced particle re-entrainment and enhanced operational stability. Comparative analysis between conventional and optimized ESP configurations demonstrated considerable improvement in particulate removal efficiency and pressure drop characteristics. The study also highlights the importance of integrating advanced numerical modeling techniques for predicting system behavior and supporting industrial emission control strategies.

Published

2024-06-28