优化设计萃取隔板精馏塔分离苯-环己烯体系
Optimal design of extractive dividing wall column for separating benzene-cyclohexene
张豪豪 1李运昌 2刘宇航 2刘继三 3陈锦溢 4华超 4陆平4
作者信息
- 1. 中国科学院 过程工程研究所绿色过程与工程重点实验室,北京 100190;中国科学院大学化学工程学院,北京 100049
- 2. 宁夏福泰材料科技有限公司,宁夏石嘴山 753600
- 3. 华陆工程科技有限责任公司,陕西西安 710065
- 4. 中国科学院 过程工程研究所绿色过程与工程重点实验室,北京 100190
- 折叠
摘要
苯和环己烯共沸物的高效节能分离是常见的工业难题,而EDWC(萃取隔板精馏塔)在共沸物的分离中具有重要的应用前景,目前公开的文献中鲜有关于EDWC工艺对苯和环己烯分离的报道.以氯化胆碱/乙酰丙酸摩尔比为1∶2作为萃取剂,探索EDWC技术在苯和环己烯分离中的应用,采用粒子群算法对该工艺进行优化设计.考虑到粒子群算法是一种随机优化算法,引入变异系数对算法的稳定性能进行评价.最后,引入年度总成本、二氧化碳排放量、㶲损失3个定量指标从经济性、环境性和热力学性3个方面对EDWC工艺和传统的两塔萃取精馏工艺进行全面对比.结果表明:与传统的两塔萃取精馏工艺相比,EDWC工艺可减少19.15％的年度总成本、36.08％的二氧化碳排放量19.99％的㶲损失以及8.03％的萃取剂消耗量.EDWC工艺分离苯和环己烯混合物具有优异的分离效率和显著的节能优势.
Abstract
The high efficiency and energy-saving separation of benzene and cyclohexene azeotrope is a common industrial problem,while the EDWC(extractive dividing wall column)has a significant application prospect in the separation of azeotropes.Fewer literature was reported for separating benzene and cyclohexene by EDWC.By using choline chloride and levulinic acid with molar ratio 1∶2 as the extraction solvent,the EDWC process was explored for the separation of benzene and cyclohexene,with the optimal flow sheet designed by the PSO(particle swarm algorithm).Considering that PSO was a stochastic optimization algorithm,the coefficient of variation was introduced to evaluate its stability.Finally,three quantitative indicators of the annual total cost CTA,carbon dioxide emissions and exergy loss were calculated to comprehensively compare the EDWC process with the CED(conventional extractive distillation)process in terms of the economy,environment and thermodynamics aspects.The results show that compared with the CED process,the EDWC process can reduce CTA by 19.15％,carbon dioxide emissions by 36.08％,exergy loss by 19.99％,and extraction solvent consumption by 8.03％.The EDWC process for separating benzene and cyclohexene azeotrope has excellent separation efficiency and significant energy saving advantages.
关键词
萃取隔板精馏塔/优化设计/节能/Aspen/Plus/粒子群算法Key words
extractive dividing wall column/optimal design/energy saving/Aspen Plus/particle swarm algorithm引用本文复制引用
基金项目
宁夏回族自治区重点研发计划(2022BFH02007)
湖北三峡实验室开放创新基金项目(SC231002)
出版年
2024
国家科技期刊平台
NSTL
万方数据