Recent advances in energy efficiency optimization methods for plasma CO2 conversion

高效能源利用 工艺工程 计算机科学 能量转换 生化工程 环境科学 工程类 电气工程 物理 热力学
作者
Yang Luo,Xiaofeng Yue,Hongli Zhang,Xiaoping Liu,Zhengwei Wu
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:906: 167486-167486 被引量:20
标识
DOI:10.1016/j.scitotenv.2023.167486
摘要

Efforts to develop efficient methods for converting carbon dioxide (CO2) have drawn mounting interest due to incremental concerns over carbon emissions. Non-thermal plasma (NTP) technology has shown promise in this regard by producing numerous reactive substances at relatively low temperatures. However, an analysis of relevant literature reveals an underwhelming level of overall energy efficiency for this technology and an insufficient level of attention being paid to it. It is crucial to put forward more effective energy-saving schemes based on a comprehensive analysis of past research results to promote sustained development. This review highlights the latest advances in pertinent energy efficiency optimization studies and outlines state-of-the-art methods. In terms of energy efficiency optimization for plasma CO2 conversion, a comparison is made among different research results in four aspects as follows. Specifically, this study analyzes reactor structure optimization in terms of discharge characteristic, flow field, and plasma contact area; discusses pathways of heat transfer optimization to suppress the competing reaction; and explores catalyst optimization in terms of active sites, calcination temperature, and product selectivity; examines the potential of utilizing solar energy for clean energy applications. The analysis of energy efficiency data indicates an overall improvement when the aforementioned optimization measures are applied, which is essential to validate the effectiveness of each method. Finally, this paper discusses the potential difficulties and future research areas of NTP technology. Urgent further research is imperative on energy efficiency optimization methods for potential large-scale industrial applications in the future.
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
萧骞应助ZZZ采纳,获得10
刚刚
丰富白凡完成签到,获得积分10
刚刚
刚刚
zzzz发布了新的文献求助10
刚刚
搜集达人应助hl采纳,获得10
刚刚
1秒前
Orange应助jjdgangan采纳,获得10
1秒前
yjh123应助妞妞采纳,获得30
1秒前
2秒前
小满发布了新的文献求助10
2秒前
scc发布了新的文献求助30
3秒前
CipherSage应助安an采纳,获得10
3秒前
午葉完成签到,获得积分10
3秒前
4秒前
嗯呐完成签到,获得积分10
4秒前
4秒前
adxyz发布了新的文献求助30
5秒前
xiaozlc完成签到,获得积分10
5秒前
毛彬发布了新的文献求助10
6秒前
linglingling完成签到 ,获得积分10
6秒前
7秒前
小马甲应助嘟噜采纳,获得10
7秒前
7秒前
xin完成签到,获得积分10
8秒前
共享精神应助qaz采纳,获得10
8秒前
高高发布了新的文献求助10
8秒前
8秒前
cy完成签到 ,获得积分10
8秒前
冷木子完成签到,获得积分10
9秒前
萧骞应助里奥采纳,获得10
9秒前
斯文败类应助glygly采纳,获得10
9秒前
Owen应助博哥是你哥采纳,获得10
9秒前
10秒前
sunshine完成签到,获得积分20
10秒前
梨梨完成签到,获得积分10
11秒前
wudizhuzhu233发布了新的文献求助10
11秒前
12秒前
123完成签到 ,获得积分10
12秒前
12秒前
zzzz完成签到,获得积分10
12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
日本現代怪異事典 副読本 700
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 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
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 7395670
求助须知:如何正确求助?哪些是违规求助? 9001658
关于积分的说明 19159508
捐赠科研通 7031395
什么是DOI,文献DOI怎么找? 3229936
关于科研通互助平台的介绍 2392359
邀请新用户注册赠送积分活动 2211526