Article Info
Abstract
The main objective of this study is to develop and implement an optimized liquid washing
method and an accurate electrostatic precipitator calculation framework for gas purification processes in the
chemical industry, particularly in acetylene production systems. The proposed methodology aims to enhance
process efficiency, reliability, and environmental safety by applying advanced analytical and control
techniques. The research integrates modern process control strategies with smart diagnostics and monitoring
tools, including the Plant Resource Manager (PRM), to ensure continuous operation and predictive
maintenance. Through the application of PRM-based monitoring, operators can evaluate equipment conditions
in real time, configure device parameters remotely, and minimize downtime. The study further focuses on
mathematical modeling of electrostatic precipitators, analyzing their structural configuration, electric field
parameters, and purification efficiency under varying operating conditions. By combining process optimization,
data-driven decision-making, and intelligent control, the proposed approach contributes to improving gascleaning performance and achieving sustainable operation in chemical manufacturing systems.