Photothermal Janus PPy-SiO2@PAN/F-SiO2@PVDF-HFP membrane for high-efficient, low energy and stable desalination through solar membrane distillation

光热治疗 膜蒸馏 材料科学 海水淡化 杰纳斯 光热效应 化学工程 能量转换效率 光电子学 纳米技术 化学 工程类 生物化学
作者
Zhaochuan Chen,Jingxing Li,Jianhong Zhou,Xuemei Chen
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:451: 138473-138473 被引量:54
标识
DOI:10.1016/j.cej.2022.138473
摘要

Currently, membrane distillation driven by solar energy (solar membrane distillation, SMD) is an effective method to address the high cost and high energy consumption problem of conventional seawater desalination. However, the complex preparation of photothermal membrane and low photothermal conversion efficiency limit the development of SMD. In this work, we fabricated a photothermal Janus membrane (PPy-SiO2@PAN/F-SiO2@PVDF-HFP) with asymmetric wettability (hydrophilic/superhydrophobic), and demonstrated that due to the high light absorption rate (∼96.48 %) of polypyrrole (PPy) coating (photothermal layer), hydrophilic SiO2@PAN nanofibers (serves as skeleton) and superhydrophobic F-SiO2@PVDF-HFP layer (provides channels for vapor escape), the photothermal Janus membrane achieves high water flux (∼44.4 kg m−2 h−1) and superior solar energy utilization efficiency (∼92.20 %) under 1 sun illumination when the temperature difference between the hot feed and cold side water (ΔT) is 60 °C; moreover, the membrane can maintain the high salt rejection rate of 99.99 % after working for 56 hrs. Both experimental and numerical simulation results reveal that the SMD process using photothermal membrane reduces the temperature polarization and increases the water flux (the greater light intensity leads to the generation of more water flux). Increasing ΔT is beneficial to enhance the solar energy conversion efficiency; however, it would also increase the temperature polarization and energy consumption. This work can provide important insights for the development of SMD technology with high water flux and low energy consumption.
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
1秒前
1秒前
1秒前
1秒前
冷傲平灵完成签到 ,获得积分20
1秒前
666发布了新的文献求助10
2秒前
4秒前
QR完成签到,获得积分10
4秒前
4秒前
5秒前
5秒前
小聖完成签到 ,获得积分10
7秒前
7秒前
7秒前
小二郎应助亲爱的安德烈采纳,获得30
7秒前
小二郎应助人从众采纳,获得30
8秒前
张阳阳发布了新的文献求助10
8秒前
赘婿应助稳重的书双采纳,获得10
8秒前
潇湘妃子59完成签到,获得积分10
8秒前
无花果应助茜茜Rachel采纳,获得10
8秒前
8秒前
9秒前
nekoneko发布了新的文献求助10
9秒前
cxx发布了新的文献求助10
10秒前
27完成签到 ,获得积分10
11秒前
丘比特应助ZZ147258采纳,获得10
11秒前
Gary发布了新的文献求助10
11秒前
NexusExplorer应助shimly0101xx采纳,获得10
11秒前
叶子发布了新的文献求助10
11秒前
RZH完成签到,获得积分10
12秒前
konglingjie发布了新的文献求助10
12秒前
大老师发布了新的文献求助10
12秒前
LLL完成签到,获得积分10
12秒前
13秒前
13秒前
zhang发布了新的文献求助10
15秒前
666完成签到,获得积分10
15秒前
16秒前
wanci应助无机采纳,获得10
16秒前
zmy完成签到,获得积分10
18秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7583250
求助须知:如何正确求助?哪些是违规求助? 9161970
关于积分的说明 19605650
捐赠科研通 7165315
什么是DOI,文献DOI怎么找? 3266226
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257588