{"title":"Recent Progress and Perspective of the Electrochemical Conversion of Carbon Dioxide to Alcohols","authors":"Alamelu Kaliyaperumal, Pooja Gupta, Yadavalli Satya Sivaram Prasad, Aravind Kumar Chandiran and Raghuram Chetty*, ","doi":"10.1021/acsengineeringau.3c00030","DOIUrl":null,"url":null,"abstract":"<p >Since the industrial revolution, energy demand has increased, resulting in an increase in the atmospheric carbon dioxide concentration. Increasing CO<sub>2</sub> concentration contributes to global warming and climate change. Strategies to alleviate CO<sub>2</sub> emissions by reducing fossil fuel usage and replacing them with renewable energy sources have been devised to resolve this issue. In addition, there are several ways to reduce atmospheric CO<sub>2</sub> concentrations including capture, utilization, and sequestration (CCUS). Electrochemical conversion of CO<sub>2</sub> is a value-added approach to reducing carbon dioxide emissions as well as producing valuable chemicals, feedstocks, and building blocks. In this review, we report on the electrochemical reduction of CO<sub>2</sub> to alcohols and the progress made over the past five years. Alcohols are critical liquid fuels with a higher energy density, ease of storage, and transportation. Herein, we discuss the possible mechanisms for converting CO<sub>2</sub> to alcohols and various electrocatalysts employed for this conversion. Detailed studies compared the performances of the electrocatalysts based on the faradaic efficiency, current density, product selectivity, and stability. Furthermore, various types of electrochemical devices that can be used for the conversion of CO<sub>2</sub> to alcohol are also discussed. Finally, the challenges and perspectives for further research are presented.</p>","PeriodicalId":29804,"journal":{"name":"ACS Engineering Au","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsengineeringau.3c00030","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Engineering Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsengineeringau.3c00030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Since the industrial revolution, energy demand has increased, resulting in an increase in the atmospheric carbon dioxide concentration. Increasing CO2 concentration contributes to global warming and climate change. Strategies to alleviate CO2 emissions by reducing fossil fuel usage and replacing them with renewable energy sources have been devised to resolve this issue. In addition, there are several ways to reduce atmospheric CO2 concentrations including capture, utilization, and sequestration (CCUS). Electrochemical conversion of CO2 is a value-added approach to reducing carbon dioxide emissions as well as producing valuable chemicals, feedstocks, and building blocks. In this review, we report on the electrochemical reduction of CO2 to alcohols and the progress made over the past five years. Alcohols are critical liquid fuels with a higher energy density, ease of storage, and transportation. Herein, we discuss the possible mechanisms for converting CO2 to alcohols and various electrocatalysts employed for this conversion. Detailed studies compared the performances of the electrocatalysts based on the faradaic efficiency, current density, product selectivity, and stability. Furthermore, various types of electrochemical devices that can be used for the conversion of CO2 to alcohol are also discussed. Finally, the challenges and perspectives for further research are presented.
自工业革命以来,能源需求不断增加,导致大气中二氧化碳浓度上升。二氧化碳浓度的增加导致全球变暖和气候变化。为解决这一问题,人们制定了减少化石燃料使用量并用可再生能源取而代之的策略,以减少二氧化碳的排放。此外,还有几种降低大气中二氧化碳浓度的方法,包括捕集、利用和封存(CCUS)。二氧化碳的电化学转化是一种既能减少二氧化碳排放,又能生产有价值的化学品、原料和构件的增值方法。在本综述中,我们将报告二氧化碳电化学还原为酒精的情况以及过去五年来所取得的进展。醇类是重要的液体燃料,具有较高的能量密度,易于储存和运输。在此,我们讨论了将 CO2 转化为酒精的可能机制,以及用于这种转化的各种电催化剂。详细研究比较了基于法拉第效率、电流密度、产物选择性和稳定性的电催化剂的性能。此外,还讨论了可用于将二氧化碳转化为酒精的各类电化学装置。最后,介绍了进一步研究的挑战和前景。
期刊介绍:
)ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)