Simulação e Otimização do Processo de Destilação Atmosférica de Petróleo

Abstract

Petroleum atmospheric distillation is an essential refining process with complex characteristics due to multiple system variables. This study evaluated the behavior of key variables in the distillation process using Petro-SIM software simulation and meta-heuristic optimization techniques. Operational variables such as kerosene and diesel reflux and column top temperature were analyzed. The results identified the top temperature as the most significant variable, and applying genetic algorithms and simulated annealing maximized diesel flow to 1281.7 m³/d while maintaining product quality.