Experimental Optimization of Electrostatic Precipitators: A Multifactorial Approach

Abstract

In the context of Algeria's industrial expansion and its resultant environmental concerns, this experimental study employs Multivariate Polynomial Expansion (MPE) to investigate the dynamics of two industrial particles—flour and cement. With a focus on mitigating atmospheric contaminants, particularly fine particles, the research assesses the effectiveness of electrostatic precipitators, specifically a Cottrell-type electro-filter with a wire-cylinder configuration. The study optimizes the filtration process based on electrical and physical parameters governing particle aggregation mechanisms. Amidst the pressing need to address environmental pollution, the research explores the feasibility of filtration techniques for atmospheric decontamination. The developed prototype electrostatic precipitator demonstrates exceptional filtration efficiency; achieving rates between 86% and 98% for cement and flour particles. These results suggest the prototype's potential applicability across various environments. The study contributes to the intersection of industrial growth, environmental preservation, and public health. By introducing methodological advancements like MPE and optimizing electrostatic precipitator models, it paves the way for innovations in environmental protection, offering potential solutions for mitigating pollution in diverse settings.