Eric W. Lees, Justin C. Bui, Oyinkansola Romiluyi, Alexis T. Bell, Adam Z. Weber
{"title":"Exploring CO2 reduction and crossover in membrane electrode assemblies","authors":"Eric W. Lees, Justin C. Bui, Oyinkansola Romiluyi, Alexis T. Bell, Adam Z. Weber","doi":"10.1038/s44286-024-00062-0","DOIUrl":null,"url":null,"abstract":"Electrochemical CO2 reduction (CO2R) using renewable electricity is a key pathway toward synthesizing fuels and chemicals. In this study, multi-physics modeling is used to interpret experimental data obtained for CO2R to CO using Ag catalysts in a membrane electrode assembly. The one-dimensional model is validated using measured CO2 crossover and product formation rates. The kinetics of CO formation are described by Marcus–Hush–Chidsey kinetics, which enables accurate prediction of the experimental data by accounting for the reorganization of the solvent during CO2R. The results show how the performance is dictated by competing phenomena including ion formation and transport, CO2 solubility, and water management. The model shows that increasing the ion-exchange capacity of the membrane and surface area of the catalyst increases CO formation rates by >100 mA cm–2 without negatively impacting CO2 utilization. Here we provide insights into how to manage the trade-off between productivity and CO2 utilization in CO2 electrolyzers. The design of CO2 electrolyzers is complicated by coupled transport and reaction phenomena. Here the authors develop a continuum model incorporating physical phenomena across multiple scales to predict the activity and selectivity of CO2 electrolysis, along with the loss of CO2 due to crossover in membrane electrode assemblies.","PeriodicalId":501699,"journal":{"name":"Nature Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44286-024-00062-0.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Chemical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44286-024-00062-0","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
Electrochemical CO2 reduction (CO2R) using renewable electricity is a key pathway toward synthesizing fuels and chemicals. In this study, multi-physics modeling is used to interpret experimental data obtained for CO2R to CO using Ag catalysts in a membrane electrode assembly. The one-dimensional model is validated using measured CO2 crossover and product formation rates. The kinetics of CO formation are described by Marcus–Hush–Chidsey kinetics, which enables accurate prediction of the experimental data by accounting for the reorganization of the solvent during CO2R. The results show how the performance is dictated by competing phenomena including ion formation and transport, CO2 solubility, and water management. The model shows that increasing the ion-exchange capacity of the membrane and surface area of the catalyst increases CO formation rates by >100 mA cm–2 without negatively impacting CO2 utilization. Here we provide insights into how to manage the trade-off between productivity and CO2 utilization in CO2 electrolyzers. The design of CO2 electrolyzers is complicated by coupled transport and reaction phenomena. Here the authors develop a continuum model incorporating physical phenomena across multiple scales to predict the activity and selectivity of CO2 electrolysis, along with the loss of CO2 due to crossover in membrane electrode assemblies.
利用可再生能源进行电化学二氧化碳还原(CO2R)是合成燃料和化学品的关键途径。本研究利用多物理场建模来解释在膜电极组件中使用银催化剂将 CO2 还原为 CO 的实验数据。一维模型通过测量的 CO2 交叉率和产物形成率进行了验证。一氧化碳的形成动力学由 Marcus-Hush-Chidsey 动力学描述,该动力学通过考虑 CO2R 过程中溶剂的重组,实现了对实验数据的准确预测。结果表明,性能如何受离子形成和传输、二氧化碳溶解度和水管理等竞争现象的支配。模型显示,增加膜的离子交换能力和催化剂的表面积可将二氧化碳形成率提高 100 mA cm-2,而不会对二氧化碳的利用率产生负面影响。在此,我们就如何管理二氧化碳电解槽中生产率和二氧化碳利用率之间的权衡提出了自己的见解。二氧化碳电解槽的设计因耦合传输和反应现象而变得复杂。在此,作者开发了一个连续模型,该模型结合了多种尺度的物理现象,可预测二氧化碳电解的活性和选择性,以及膜电极组件中因交叉而造成的二氧化碳损失。