清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Screening of ionic liquids as green entrainers for ethanol water separation by extractive distillation: COSMO-RS prediction and aspen plus simulation

离子液体 萃取蒸馏 乙二醇 四甲基铵 化学 工艺工程 过程模拟 蒸馏 化学工程 过程(计算) 有机化学 计算机科学 催化作用 离子 操作系统 工程类
作者
Huzaifa Malik,Huma Warsi Khan,Mansoor Ul Hassan Shah,Muhammad Imran Ahmad,Iqra Khan,Abdullah A. Al‐Kahtani,Mika Sillanpää
出处
期刊:Chemosphere [Elsevier]
卷期号:311: 136901-136901 被引量:51
标识
DOI:10.1016/j.chemosphere.2022.136901
摘要

Ionic liquids (ILs) have been demonstrated as promising alternatives to conventional entrainers in separation of azeotropic mixtures mostly investigating phase equilibrium and process design scenarios. However, proper selection of ILs for a specific task always remains challenging. Hence a simulation tool, i.e. conductor like screening model for real solvents (COSMO-RS) was applied to address this challenge. Furthermore, screened ILs were simulated as entrainers for ethanol water separation by extractive distillation. The current study also aims to demonstrate a systematic approach to retrofit existing processes, by employing ILs as green entrainers. Screening of twenty-five (25) ILs was carried out using COSMO-RS to select suitable ILs as green entrainers based on activity coefficient, capacity and selectivity. Results illustrated that tetramethylammonium chloride ([TMAm][Cl]) due to its strong hydrogen bonding ability was found to be the best ILs entrainer. Moreover, in order to reduce the operating costs without compromising desired product purity (ethanol purity ≥99.5% in top product), the selected ILs (8 kg/h) in a mixture with ethylene glycol (72 kg/h) were simulated using Aspen plus v.11. The simulation results revealed that by combining tetramethylammonium chloride (2 kg/h) with ethylene glycol (78 kg/h) reduced 7.26 tons of CO2 emissions/year through heat integration by saving 1.49*108 kJ/year energy besides minimizing operating costs. In conclusion, the systematic selection of ILs as green entrainers in combination with ethylene glycol and then the appropriate simulation of the whole system will ultimately reduce the cost of the separation process and reduce the emission of greenhouse gases as well utilization of toxic conventional entrainers.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
狂野丹翠应助科研通管家采纳,获得10
9秒前
持卿应助科研通管家采纳,获得10
9秒前
科研通AI6应助科研通管家采纳,获得10
9秒前
持卿应助科研通管家采纳,获得10
9秒前
持卿应助科研通管家采纳,获得10
9秒前
持卿应助科研通管家采纳,获得10
9秒前
我是老大应助莨菪采纳,获得10
11秒前
CipherSage应助milu采纳,获得20
14秒前
22秒前
30秒前
老马哥完成签到 ,获得积分0
45秒前
大医仁心完成签到 ,获得积分10
1分钟前
CipherSage应助Penny采纳,获得10
1分钟前
1分钟前
Penny完成签到,获得积分10
1分钟前
Penny发布了新的文献求助10
1分钟前
盈盈发布了新的文献求助10
1分钟前
woxinyouyou完成签到,获得积分0
1分钟前
meeteryu完成签到,获得积分10
1分钟前
SciGPT应助盈盈采纳,获得10
1分钟前
持卿应助科研通管家采纳,获得10
2分钟前
持卿应助科研通管家采纳,获得10
2分钟前
持卿应助科研通管家采纳,获得10
2分钟前
持卿应助科研通管家采纳,获得10
2分钟前
狂野丹翠应助科研通管家采纳,获得10
2分钟前
Wone3完成签到 ,获得积分10
2分钟前
knight7m完成签到 ,获得积分10
2分钟前
哈哈完成签到 ,获得积分10
2分钟前
Alisha完成签到,获得积分10
2分钟前
2分钟前
2分钟前
jjy发布了新的文献求助30
2分钟前
jjy完成签到,获得积分10
2分钟前
duoduo完成签到,获得积分10
3分钟前
3分钟前
wl发布了新的文献求助20
3分钟前
Kun应助科研通管家采纳,获得10
4分钟前
科研通AI6应助科研通管家采纳,获得10
4分钟前
科研通AI6应助科研通管家采纳,获得10
4分钟前
MchemG应助科研通管家采纳,获得20
4分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5715020
求助须知:如何正确求助?哪些是违规求助? 5229427
关于积分的说明 15273979
捐赠科研通 4866106
什么是DOI,文献DOI怎么找? 2612683
邀请新用户注册赠送积分活动 1562893
关于科研通互助平台的介绍 1520160