Ion-exchange membrane systems—Electrodialysis and other electromembrane processes

电渗析 反向电渗析 电容去离子 化学 工艺工程 过程(计算) 正渗透 电解 海水淡化 生化工程 反渗透 工程类 计算机科学 电解质 电极 生物化学 操作系统 物理化学
作者
Bart Van der Bruggen
出处
期刊:Elsevier eBooks [Elsevier BV]
卷期号:: 251-300 被引量:34
标识
DOI:10.1016/b978-0-12-813483-2.00007-1
摘要

This chapter describes electromembrane processes and how to model them in a basic way. Electrodialysis is taken as the starting point. Based on a description of the process as used in various applications, a viable modeling approach is developed. It is shown that electrodialysis is a complex process in terms of modeling, since three different driving forces are intrinsically present in the system: the electrical potential, which is the applied driving force, but due to the concentration changes related to the separation itself, concentration differences and (osmotic) pressure differences also occur as driving forces for transport through membranes. Aspects of ion permeation, water transport, and permselectivity are considered, as well as the efficiency of the process in terms of electrical energy use. The focus in this chapter is on macroscopic modeling, that is, understanding the process performance from an overall perspective. Microscopic modeling of pore potentials and electrical charge distribution on microscale is beyond the scope of this chapter. Various related processes are also described: diffusion dialysis, electro-electrodialysis, Donnan dialysis, continuous electrodeionization, membrane electrolysis, fuel cells, (membrane) capacitive deionization, electrodialysis with bipolar membranes, and reverse electrodialysis. Although a detailed modeling of these related processes is beyond the scope of this chapter, a concise introduction to process modeling is given where possible. In some cases, such as for fuel cells, this opens up a vast number of sources related to modeling, while for other processes there has been very limited development of models so far.

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
xiankanyun发布了新的文献求助10
1秒前
爱笑的保温杯完成签到 ,获得积分10
2秒前
zhoupeipei完成签到,获得积分10
2秒前
YXM1完成签到,获得积分10
3秒前
Orange应助Passion采纳,获得10
4秒前
yyyyxxxg发布了新的文献求助10
4秒前
hsj完成签到,获得积分10
4秒前
4秒前
跳跳熊完成签到,获得积分10
4秒前
5秒前
5秒前
6秒前
N1完成签到,获得积分10
6秒前
cazer_Wang完成签到,获得积分10
6秒前
Xiaohua完成签到,获得积分20
7秒前
kaisa完成签到,获得积分10
7秒前
ZBA完成签到,获得积分10
8秒前
科研通AI6.3应助微笑猎豹采纳,获得10
9秒前
9秒前
9秒前
10秒前
Jacey发布了新的文献求助10
10秒前
葉子完成签到 ,获得积分10
11秒前
bobobo发布了新的文献求助10
11秒前
JinSong发布了新的文献求助10
12秒前
WQQ完成签到,获得积分10
13秒前
YY发布了新的文献求助30
13秒前
14秒前
zhoupeipei发布了新的文献求助10
15秒前
科研通AI6.2应助hanying采纳,获得10
15秒前
15秒前
Panjiao发布了新的文献求助30
16秒前
汉堡包应助怀安采纳,获得10
16秒前
orixero应助D调的华丽采纳,获得10
17秒前
Xiaohua发布了新的文献求助10
17秒前
18秒前
123123发布了新的文献求助10
19秒前
Panjiao发布了新的文献求助10
20秒前
折戟沉沙发布了新的文献求助10
20秒前
22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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Child and Adolescent Mental Health 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 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 7600236
求助须知:如何正确求助?哪些是违规求助? 9176361
关于积分的说明 19648621
捐赠科研通 7176255
什么是DOI,文献DOI怎么找? 3268622
关于科研通互助平台的介绍 2433042
邀请新用户注册赠送积分活动 2262196