Electrothermal heating in direct contact membrane distillation via PTFE membrane coated by tea polyphenols and carbon nanotube for enhanced conductivity and long-term stability

膜蒸馏 碳纳米管 材料科学 海水淡化 化学工程 接触角 渗透 化学 复合材料 纳米技术 生物化学 工程类
作者
Yudong Qian,Lin Chen,Liang Zhu
出处
期刊:Journal of Membrane Science [Elsevier BV]
卷期号:668: 121196-121196 被引量:14
标识
DOI:10.1016/j.memsci.2022.121196
摘要

Membrane Distillation (MD) is one of the technologies which exhibits great potential in the desalination and zero liquid discharge (ZLD) area but is currently limited by the heat loss in hydraulic circulation and continuous heating requirements for feed solution. In this study, tea polymer (TP) was adopted to modify the traditional carbon nanotube (CNT) polytetrafluoroethylene (PTFE) membrane as a potential candidate to improve heating efficiency through electrothermal heating. Compared with the CNT membrane, CNT-TP membrane exhibited better electrical conductivity, thermal efficiency and less hydrophilicity, which was also reflected by the mechanisms of the binding between TP and CNT on the membrane surface through ATR-FTIR, XP,S and SEM analysis. The conducting membranes were applied in electrothermal heating of the desalination by direct contact membrane distillation, and membrane performance with the application of different AC voltages was compared. It was found that for the CNT-TP membrane, the permeate flux at AC 10 V, 20 V and 30 V was 28.8%, 43.7% and 45.2% higher than that of the CNT membrane, respectively. Simultaneously, the increase in permeate flux was accompanied by an improvement in thermal efficiency of over 10%. During another long-time operation of 180 h, CNT-TP membranes exhibited long-term stability relative to the CNT membrane. We believe this electrically CNT-TP membrane has a promising potential in the electrothermal heating area, paving the way for smart and low-energy localized heating MD systems.
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
顾矜应助懵懂的土豆采纳,获得10
1秒前
daweiwei完成签到,获得积分20
1秒前
1秒前
范春艳发布了新的文献求助10
1秒前
1秒前
3秒前
3秒前
3秒前
3秒前
笑点低的安荷应助余正扬采纳,获得10
3秒前
4秒前
4秒前
热情的火车完成签到,获得积分10
4秒前
5秒前
Menghang完成签到,获得积分10
5秒前
5秒前
lxy发布了新的文献求助10
6秒前
6秒前
qingchi发布了新的文献求助10
6秒前
Lalabcdefgood发布了新的文献求助10
6秒前
6秒前
7秒前
qqqyy完成签到,获得积分0
7秒前
鹿谷波完成签到,获得积分10
7秒前
许多年以后完成签到,获得积分10
7秒前
ding应助Ethereal采纳,获得20
8秒前
闲之野鹤发布了新的文献求助10
8秒前
景j发布了新的文献求助10
8秒前
8秒前
xyy发布了新的文献求助10
8秒前
Menghang发布了新的文献求助10
8秒前
godblessyou发布了新的文献求助10
9秒前
杨德帅发布了新的文献求助10
9秒前
9秒前
小七完成签到,获得积分10
10秒前
10秒前
zhuzhen007发布了新的文献求助10
10秒前
11秒前
11秒前
yunshan发布了新的文献求助10
11秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492290
求助须知:如何正确求助?哪些是违规求助? 8289950
关于积分的说明 17689725
捐赠科研通 5584079
什么是DOI,文献DOI怎么找? 2915278
邀请新用户注册赠送积分活动 1892419
关于科研通互助平台的介绍 1750464