胺气处理
选择(遗传算法)
化学
工艺工程
色谱法
有机化学
计算机科学
工程类
机器学习
作者
Sahithi Ravuluri,Shaheda Afreen SK,Prakash C. Sahoo,Indranil Roy Choudhury,Sarvesh Kumar
摘要
Abstract Mixed amine solvents provide an efficient solution for capturing CO 2 from refinery emissions. They offer improved absorption and reduced energy use compared to using traditional solvents such as monoethanolamine (MEA). However, selecting the optimal blend tailored to the specific composition of refinery emissions is complex and time‐consuming. This study develops an optimizer based on the Aspen Platform to identify the optimal mixed amines from >500 possible combinations. The resultant amine blend obtained is a combination of methyl diethanolamine (MDEA)/piperazine (PZ) (39 wt%), demonstrating more than 95% CO 2 capture. The blend also showed a significant reduction in energy (min 20%) because of decreased steam consumption for solvent regeneration.
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