石脑油
萃取蒸馏
蒸馏
溶剂
甲苯
工艺工程
催化重整
化学
丙烯
丙烷
选择(遗传算法)
有机化学
计算机科学
催化作用
工程类
人工智能
作者
Hee Chul Woo,Young Han Kim
摘要
Abstract This study examines a search for a new solvent for extractive distillation using molecular simulation, and the performance of the proposed extractive distillation processes using the solvents is compared to conventional processes. Unlike other solvent search procedures, the proposed solvent finding technique relies on a chemical structure similarity between the solvent and the extracted material without depending on a solvent database. Two new processes of benzene, toluene, and xylenes separation from naphtha reformate and propene/propane separation are compiled with the newly developed solvents for the performance examination. The simulation of the proposed extractive distillation processes demonstrates a significant performance improvement in energy saving and investment cost over conventional processes.
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