萃取蒸馏
化学
共晶体系
共沸蒸馏
乙腈
共沸物
工艺工程
蒸馏
过程模拟
分离过程
过程(计算)
色谱法
有机化学
计算机科学
工程类
操作系统
合金
作者
Dongmin Han,Yanhong Chen,Mengru Dong
标识
DOI:10.1016/j.compchemeng.2022.107865
摘要
· σ-profiles based COSMO-SAC theory is adopted to screen DESs entrainers for acetonitrile dehydration. · The selected DESs are further studied by the thermodynamic topological analysis. · For extractive distillation, EG and GC3:1 are evaluated economically. · The control structure of GC3:1 extractive distillation process is studied. Deep Eutectic Solvents (DESs) show properties that make them effective as environmental-friendly entrainers for extractive distillation. However, the technical and economic evaluation via process simulation and the method of screening a suitable DES for a given azeotropic system are less studied. In this work, the extractive distillation process for acetonitrile dehydration with glycolic acid/choline chloride 3:1 (GC3:1) as entrainer is studied. Firstly, the σ-profiles based on the COSMO-SAC model are employed to select an appropriate DES entrainer. Then, the feasibilities of GC3:1 and ethylene glycol (EG) as entrainer are further studied by the analysis of residue curve maps. Finally, the design and optimization of the extractive distillation process for acetonitrile dehydration with GC3:1 and EG are conducted. The results demonstrate that the conventional extractive distillation process with GC3:1 entrainer gives 13.40% and 9.64% reduction in TAC over the conventional and heat-integrated extractive distillation processes with EG as entrainer, respectively. The TAC of the GC3:1 process is further reduced by 3.14% after heat integration. In addition, the control scheme of the extractive distillation process with GC3:1 entrainer is studied by Aspen Dynamics, and the proposed control structure is effective in managing operational stability.
科研通智能强力驱动
Strongly Powered by AbleSci AI