High-Efficiency Methane Production via Electrochemical CO2 Reduction in Aqueous Bicarbonate Systems
Notice bibliographique
Résumé
High-Efficiency Methane Production via Electrochemical CO2 Reduction in Aqueous Bicarbonate SystemsViktoria Golovanova a, Cornelius Obasanjo b, Guorui Gao b, Jackson Crane b, F. Pelayo García de Arquer a, Cao-Thang Dinh ba ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, 08860, Castelldefels, Spainb Department of Chemical Engineering, Queen's University, Kingston, ON K7L 3N6, CanadaMaterials for Sustainable Development Conference (MATSUS)Proceedings of MATSUS Spring 2024 Conference (MATSUS24)#MatInter - Materials and Interfaces for emerging electrocatalytic reactionsBarcelona, Spain, 2024 March 4th - 8thOrganizers: Marta Costa Figueiredo and María Escudero-EscribanoOral, Viktoria Golovanova, presentation 227DOI: https://doi.org/10.29363/nanoge.matsus.2024.227Publication date: 18th December 2023The urgent need for large-scale renewable energy storage and carbon mitigation strategies calls for efficient methods of converting carbon dioxide (CO2) into valuable hydrocarbon fuels1. Among these, methane (CH4) holds particular promise due to its high energy density and compatibility with existing infrastructure. Electrochemical CO2 reduction (CO2R) to CH4 offers a direct pathway to decarbonize natural gas, but practical applications require high current densities, selectivity, and energy efficiency [1,2]. In this study, we present a novel approach to enhance CH4 production via CO2R in aqueous bicarbonate systems [3]. Our research addresses the limitations of previous systems and introduces a paradigm shift in CO2 electroreduction. We leverage the benefits of large-pore Cu electrodes, which facilitate the transport of dissolved CO2 and promote efficient bicarbonate conversion into CO2. This architectural innovation results in high local CO2 concentrations crucial for CH4 selectivity. Furthermore, we introduce an in-situ Cu activation strategy achieved through alternating current operation. This activation method not only generates, but also maintains a highly selective Cu catalyst surface, favoring CH4 production over hydrogen evolution. Our aqueous-fed system achieves remarkable CH4 Faradaic efficiencies, exceeding 70% across a wide current density range (100–750 mA cm-2), and maintains stability for at least 12 hours at 500 mA cm-2. Importantly, our system also demonstrates the highest CH4 product concentration, compared to previous CO2-to-CH4 systems. These findings open new avenues for the large-scale production of CH4 via CO2R, with implications for renewable energy storage and the reduction of greenhouse gas emissions. We believe our innovative approach paves the way for practical and sustainable CH4 production from CO2, contributing to the global effort to combat climate change. References:[1] De Luna, P., Hahn, C., Higgins, D., Jaffer, S.A., Jaramillo, T.F., and Sargent, E.H. (2019). What would it take for renewably powered electrosynthesis to displace petrochemical processes? Science (1979) 364.[2] Kibria, M.G., Edwards, J.P., Gabardo, C.M., Dinh, C.T., Seifitokaldani, A., Sinton, D., and Sargent, E.H. (2019). Electrochemical CO2 Reduction into Chemical Feedstocks: From Mechanistic Electrocatalysis Models to System Design. Advanced Materials 31[3] Obasanjo, C.A., Gao, G., Crane, J., Golovanova V., Garcia de Arquer F. P., Dinh C.-T., High-rate and selective conversion of CO2 from aqueous solutions to hydrocarbons. Nat Commun 14, 3176 (2023)© FUNDACIO DE LA COMUNITAT VALENCIANA SCITOnanoGe is a prestigious brand of successful science conferences that are developed along the year in different areas of the world since 2009. 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Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».