Process design and multi-objective optimization of efficient heat utilization distillation based on the influence of pressure and entrainer flow on separation performance

过程集成 工艺工程 蒸馏 火用 萃取蒸馏 能源消耗 分馏塔 化学 可用能 变压吸附 工程类 色谱法 有机化学 电气工程
作者
Chen Li,Limei Zhong,Yinglong Wang,Defeng Sun,Yanan Li,Peizhe Cui,Baoming Shan,Zhaoyou Zhu,Xin Li
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:379: 134848-134848 被引量:30
标识
DOI:10.1016/j.jclepro.2022.134848
摘要

A novel strategy for optimizing extractive pressing-swing distillation for separating pressure-sensitive azeotropic mixtures comprising ethyl acetate/ethanol/butanone was proposed. Dimethyl sulfoxide was selected as the optimal entrainer based on its effect on the vapor–liquid equilibria conditions of the azeotropic mixture. A multi-objective genetic optimization algorithm was used to optimize the economic and gas emissions performance of the process. Pressure and entrainer flow have different effects on the separation of the azeotropes. The operating pressure and entrainer flow were comprehensively optimized as variables. To fully exploit the residual heat, vapor recompression and heat integration were used to improve the process. The improved processes were evaluated based on economic, gas emissions, and exergy analyses. Compared with the extractive pressure-swing distillation process, the total annual cost of the vapor recompression process increased by 5.13%, whereas the gas emission and operation costs decreased by 20.94% and 10.06%. The total annual cost and gas emissions of extractive pressing-swing distillation with heat integration decreased by 17.95% and 26.96%, whilst the exergy efficiency increased by 8.16%. The energy consumption of different control structures in the system subjected to disturbances was compared. The CS2 structure has lower energy consumption than CS1. The energy consumption of the T3 column was greatly reduced.
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
情怀应助科研通管家采纳,获得10
刚刚
刚刚
脑洞疼应助科研通管家采纳,获得10
刚刚
华仔应助科研通管家采纳,获得10
刚刚
刚刚
冷傲含海完成签到 ,获得积分10
1秒前
1秒前
1秒前
1秒前
彭于晏应助huahua采纳,获得10
4秒前
柑橘乌云应助ying采纳,获得10
4秒前
taimeili完成签到,获得积分10
4秒前
翊然甜周完成签到,获得积分10
5秒前
5秒前
5秒前
NguyenRe18完成签到,获得积分20
5秒前
万能图书馆应助tt采纳,获得10
6秒前
7秒前
7秒前
寒霜扬名完成签到 ,获得积分10
8秒前
天玄一刀完成签到,获得积分10
9秒前
come发布了新的文献求助30
9秒前
10秒前
sai完成签到,获得积分10
10秒前
科研通AI6.3应助lllllria采纳,获得10
10秒前
欢呼耳机发布了新的文献求助50
10秒前
cainiao完成签到,获得积分10
11秒前
梦M完成签到,获得积分10
11秒前
12秒前
Qiong发布了新的文献求助10
13秒前
小狗便利店完成签到,获得积分10
13秒前
Owen应助清仔采纳,获得10
14秒前
易拉罐完成签到,获得积分10
14秒前
hey完成签到,获得积分10
14秒前
15秒前
15秒前
ying完成签到,获得积分10
16秒前
小鱼儿完成签到,获得积分10
16秒前
longyuyan完成签到,获得积分0
17秒前
Denmark发布了新的文献求助10
18秒前
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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Child and Adolescent Psychology 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
丝光沸石活性位点定向调控及其二甲醚羰基化性能研究 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7418429
求助须知:如何正确求助?哪些是违规求助? 9022160
关于积分的说明 19218169
捐赠科研通 7048530
什么是DOI,文献DOI怎么找? 3234604
关于科研通互助平台的介绍 2397591
邀请新用户注册赠送积分活动 2216709