Simulation and Multi-Objective Optimization of a Trickle-Bed Reactor for Diesel Hydrotreating by a Heterogeneous Model Using Non-Dominated Sorting Genetic Algorithm II

摘要: Hydrotreating processes for diesel fuels are becoming increasingly important, owing to environmental regulations limiting sulfur and aromatic compounds, which more strict. Among investigations into hydrotreating modeling, most of the studies use a homogeneous model simulate reactor. However, real industrial reactor, that is not always an accurate assumption. Furthermore, reports efforts find best operating conditions very scarce. In this study, heterogeneous three main reactions—hydro-desulfurization, hydro-denitrogenation, hydro-dearomatization—was applied The results show good agreement with literature experimental data. effects important operational parameters such as temperature, pressure, liquid hourly space velocity, H2/oil ratio on various reactions also evaluated. Finally, multi-objective optimization based non-dominated sorting genetic algorithm II carried out...