Xiaowen Wang, Fei Ma, Haiqiao Wei, Jiaying Pan, Wenjia Li, Jun Zhao, Xiaotao Yang
{"title":"A DFT and microkinetic modeling study of pressure effects on electroreduction reduction of CO2 to ethanol","authors":"Xiaowen Wang, Fei Ma, Haiqiao Wei, Jiaying Pan, Wenjia Li, Jun Zhao, Xiaotao Yang","doi":"10.1016/j.apsusc.2024.161421","DOIUrl":null,"url":null,"abstract":"The CO<sub>2</sub> electroreduction reaction (CO<sub>2</sub>RR) is a promising way to convert surplus renewable electricity into valuable low-carbon fuel. Ethanol is one of the most beneficial products because of its high energy density, ready transport, and extensive use. The CO<sub>2</sub> partial pressure (<em>P</em><sub>CO2</sub>) significantly impacts ethanol formation. This work explores the mechanism of pressure dependence in ethanol formation on the Cu<sub>2</sub>O/Cu(1<!-- --> <!-- -->1<!-- --> <!-- -->1) surface via the density functional theory (DFT) and microkinetic model calculations. DFT results show that *CO is the major adsorbate on the catalyst surface, and its coverage is the descriptor of pressure. Initially, increasing the coverage of *CO promotes the C–C coupling to ethanol, while the excess coverage shifts the potential determining step (PDS) from the *CHO formation to the *CHO–*CO addition, prejudicing the ethanol formation. The degree of selectivity control (DSC) results show that *CO stability positively affects ethanol production, while the stabilities of *H and *CH<sub>3</sub>CH<sub>2</sub>OH exhibit the reverse. Their effects decrease and increase with pressure increase, respectively, leading to the volcano plot of the pressure dependence on ethanol formation. The mechanistic insights gained from this work provide relevant guidelines to optimize the reaction pressure conditions for the CO<sub>2</sub>RR to ethanol reaction.","PeriodicalId":247,"journal":{"name":"Applied Surface Science","volume":null,"pages":null},"PeriodicalIF":6.3000,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Surface Science","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1016/j.apsusc.2024.161421","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The CO2 electroreduction reaction (CO2RR) is a promising way to convert surplus renewable electricity into valuable low-carbon fuel. Ethanol is one of the most beneficial products because of its high energy density, ready transport, and extensive use. The CO2 partial pressure (PCO2) significantly impacts ethanol formation. This work explores the mechanism of pressure dependence in ethanol formation on the Cu2O/Cu(1 1 1) surface via the density functional theory (DFT) and microkinetic model calculations. DFT results show that *CO is the major adsorbate on the catalyst surface, and its coverage is the descriptor of pressure. Initially, increasing the coverage of *CO promotes the C–C coupling to ethanol, while the excess coverage shifts the potential determining step (PDS) from the *CHO formation to the *CHO–*CO addition, prejudicing the ethanol formation. The degree of selectivity control (DSC) results show that *CO stability positively affects ethanol production, while the stabilities of *H and *CH3CH2OH exhibit the reverse. Their effects decrease and increase with pressure increase, respectively, leading to the volcano plot of the pressure dependence on ethanol formation. The mechanistic insights gained from this work provide relevant guidelines to optimize the reaction pressure conditions for the CO2RR to ethanol reaction.
期刊介绍:
Applied Surface Science covers topics contributing to a better understanding of surfaces, interfaces, nanostructures and their applications. The journal is concerned with scientific research on the atomic and molecular level of material properties determined with specific surface analytical techniques and/or computational methods, as well as the processing of such structures.