A review of catalytic reduction of carbon dioxide

Jiajie Shen
{"title":"A review of catalytic reduction of carbon dioxide","authors":"Jiajie Shen","doi":"10.54254/2755-2721/63/20241001","DOIUrl":null,"url":null,"abstract":"Carbon dioxide (CO2) generated from the consumption of fossil fuels is one of the main factors contributing to the greenhouse effect. How to mitigate the greenhouse effect and reduce the extraction and consumption of fossil fuels has become an issue worthy of study. In recent years, a technology for the catalytic reduction of CO2 to fossil fuels and chemicals has attracted a great deal of attention by providing a new way to solve this problem. This paper reviews the basic principles of three fundamental catalytic CO2 reduction, photocatalysis, electrocatalysis and thermocatalysis, and two advanced catalytic modes, thermocatalysis and photoelectrocatalysis, derived from these three modes, as well as their advantages and disadvantages. In addition, the challenges that the catalytic reduction of CO2 is currently facing are also discussed. Although this technology has made significant progress over the decades, it is still in its preliminary stage with some shortcomings and there is a long way to go before it can be applied in reality.","PeriodicalId":350976,"journal":{"name":"Applied and Computational Engineering","volume":" 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied and Computational Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54254/2755-2721/63/20241001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Carbon dioxide (CO2) generated from the consumption of fossil fuels is one of the main factors contributing to the greenhouse effect. How to mitigate the greenhouse effect and reduce the extraction and consumption of fossil fuels has become an issue worthy of study. In recent years, a technology for the catalytic reduction of CO2 to fossil fuels and chemicals has attracted a great deal of attention by providing a new way to solve this problem. This paper reviews the basic principles of three fundamental catalytic CO2 reduction, photocatalysis, electrocatalysis and thermocatalysis, and two advanced catalytic modes, thermocatalysis and photoelectrocatalysis, derived from these three modes, as well as their advantages and disadvantages. In addition, the challenges that the catalytic reduction of CO2 is currently facing are also discussed. Although this technology has made significant progress over the decades, it is still in its preliminary stage with some shortcomings and there is a long way to go before it can be applied in reality.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
二氧化碳催化还原综述
消耗化石燃料产生的二氧化碳(CO2)是造成温室效应的主要因素之一。如何缓解温室效应,减少化石燃料的开采和消耗,已成为一个值得研究的问题。近年来,一种将二氧化碳催化还原为化石燃料和化学品的技术为解决这一问题提供了新途径,引起了广泛关注。本文综述了光催化、电催化和热催化三种基本催化还原二氧化碳的基本原理,以及由这三种模式衍生出的热催化和光电催化两种先进催化模式及其优缺点。此外,还讨论了催化还原二氧化碳目前面临的挑战。虽然这项技术在过去几十年中取得了重大进展,但仍处于初级阶段,存在一些不足之处,距离实际应用还有很长的路要走。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Implementation of seamless assistance with Google Assistant leveraging cloud computing Deep learning vulnerability analysis against adversarial attacks Comparison of deep learning models based on Chest X-ray image classification DOA estimation technology based on array signal processing nested array Precise positioning and prediction system for autonomous driving based on generative artificial intelligence
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1