Effects of electrodialysis conditions on waste acid reclamation: Modelling and validation

电渗析 工艺工程 反向电渗析 工作(物理) 扩散 能斯特方程 化学 计算机科学 环境科学 生化工程 热力学 工程类 机械工程 物理 生物化学 物理化学 电极
作者
Feng-rui Li,Yuxiang Jia,Jiancheng He,Meng Wang
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:320: 128760-128760 被引量:13
标识
DOI:10.1016/j.jclepro.2021.128760
摘要

Given its double functions of selective separation and concentration for ions, the potential of electrodialysis (ED) for the reclamation of waste acid has been widely recognized. In view of some differences from the cases of salt systems, a deep grasp on the effects of operating conditions on ED-based acid recovery is urgently required. Moreover, it is also challenging and desirable to effectively address the modelling issue of the membrane process. In this study, the influences of some typical operational factors, including current density, membrane selection, acid concentration of waste effluent, concentration differences between the dilute and concentrating compartments, on ED performances, such as its concentration evolution, current utilization and energy consumption, are systematically investigated. In particular, a fundamental model is established on the basis of the equations of Nernst-Planck, Navier-Stokes and Continuity to understand the influences of operating conditions and predict the relevant work performances. Therein, the proton diffusion coefficient of the used anion exchange membrane (AEM) can be regressed according to its practical performance and input. It is noticed that the obtained proton diffusion efficient is closely related to the AEM selection, but has almost nothing to do with the specific operational conditions and even the acid systems. A series of ED experiments show that the simulation results are in good agreement with the experimental results, which verifies the validity of the proposed model. Especially, this work confirms that proton leakage across AEMs should be the culprit in the non-ideal behaviors of ED-based acid recovery. Hopefully, the new model can contribute to the stack design, process optimization and scale-up of the ED-based acid recovery.
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
liudw完成签到,获得积分10
刚刚
六清完成签到,获得积分10
刚刚
Lemon完成签到 ,获得积分10
1秒前
Ava应助十三采纳,获得10
1秒前
研友_Z6QEAn完成签到 ,获得积分10
2秒前
AI完成签到,获得积分10
2秒前
Ranger_M发布了新的文献求助10
3秒前
wjw发布了新的文献求助10
3秒前
南宫清涟发布了新的文献求助10
3秒前
友好凌柏完成签到 ,获得积分10
4秒前
科目三应助嘟嘟采纳,获得10
4秒前
4秒前
maz123456完成签到,获得积分10
4秒前
坚定书竹完成签到 ,获得积分10
5秒前
Aqua完成签到,获得积分10
7秒前
科研同路人完成签到,获得积分0
8秒前
郑文涛完成签到,获得积分10
8秒前
无奈世立完成签到,获得积分10
8秒前
8秒前
10秒前
辣辣完成签到,获得积分10
10秒前
jin1233完成签到 ,获得积分10
11秒前
张无忌发布了新的文献求助10
11秒前
zz完成签到,获得积分10
11秒前
shuxue完成签到,获得积分10
12秒前
啊哈完成签到 ,获得积分10
12秒前
来自DF的小白完成签到,获得积分10
13秒前
Negan完成签到,获得积分10
13秒前
liquidwy完成签到,获得积分10
13秒前
13秒前
布丁发布了新的文献求助10
14秒前
14秒前
且放青山远完成签到,获得积分10
14秒前
malaodi完成签到,获得积分10
14秒前
清脆大树完成签到,获得积分10
14秒前
cdercder应助ChenxiDai采纳,获得10
15秒前
包飞雪完成签到,获得积分10
15秒前
LingC完成签到,获得积分10
15秒前
16秒前
17秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Technologies supporting mass customization of apparel: A pilot project 450
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
Brain and Heart The Triumphs and Struggles of a Pediatric Neurosurgeon 400
Cybersecurity Blueprint – Transitioning to Tech 400
Mixing the elements of mass customisation 400
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3784903
求助须知:如何正确求助?哪些是违规求助? 3330232
关于积分的说明 10245019
捐赠科研通 3045573
什么是DOI,文献DOI怎么找? 1671716
邀请新用户注册赠送积分活动 800646
科研通“疑难数据库(出版商)”最低求助积分说明 759577