Separation of components of light cycle oil (LCO) into aromatic-rich and nonaromatic-rich fractions is the essential step for upgrading LCO to produce benzene, toluene, xylene enriched fraction, and high-quality diesel. In this work, extractive separation of model LCO which contains 70 wt% tetralin and 30 wt% dodecane was performed using deep eutectic solvent (DES) as the extractant and water as the anti-extractant. Tetrabutylphosphonium bromide (TBPB) and levulic acid (LA) at a molar ratio of 1:4 was determined as the extractant, due to its high and stable performance during extraction and regeneration processes. The liquid-liquid equilibrium data of ternary systems involving TBPB:LA(1:4) were then experimentally determined and fitted using non-random two-liquid model. The continuous extraction process was simulated and optimized, high mass purity (0.980 for tetralin and 0.987 for dodecane) and high recovery ratio (0.994 for tetralin and 0.954 for dodecane) were achieved.

将轻循环油（LCO）的成分分离为富芳烃和非芳烃馏分是将LCO升级为生产苯，甲苯，二甲苯富集馏分和高质量柴油的重要步骤。在这项工作中，使用深共熔溶剂（DES）作为萃取剂，用水作为抗萃取剂，对含有70 wt％的四氢萘和30 wt％的十二烷的LCO模型进行萃取分离。摩尔比为1：4的四丁基溴化phosph（TBPB）和乙酰丙酸（LA）被确定为萃取剂，因为它在萃取和再生过程中具有较高的性能和稳定的性能。然后，通过实验确定涉及TBPB：LA（1：4）的三元系统的液-液平衡数据，并使用非随机两液模型进行拟合。模拟并优化了连续萃取过程，