Title data
Jännsch, Yannick ; Hämmerle, Martin ; Simon, Elfriede ; Fleischer, Maximilian ; Moos, Ralf:
Optimizing a Gas Diffusion Electrode for Stable CO2RR to Ethylene.
2022
Event: 32nd Topical Meeting of the International Society of Electrochemistry
, June 19-22, 2022
, Stockholm, Sweden.
(Conference item: Conference
,
Poster
)
Project information
Project title: |
Project's official title Project's id Wertschöpfung durch elektrolytische Reduktion von CO2: Langzeitstabile, Ethen-selektive Prozessführung mit einem hochskalierbaren Verfahren AZ-1391-19 |
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Project financing: |
Bayerische Forschungsstiftung |
Abstract in another language
In the attempt to advance the electrochemical CO2-Reduction (CO2RR), reaching significant current densities in the magnitude of 100 mA/cm2 for a desired product is a key step towards the industrialization of the process. This can be achieved by the use of gas diffusion electrodes (GDEs), as they allow for a gaseous CO2-supply to the reaction site, hence eliminating the limit of CO2-solubility in the electrolyte1. Copper is still one of the most promising catalysts for CO2RR, as it is capable of electrochemically reducing CO2 to carbohydrates and oxygenates with multiple carbon atoms. One of these products is ethylene, which is especially attractive, as it is commercially valuable and there is a high demand for it.
Further data
Item Type: | Conference item (Poster) |
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Refereed: | Yes |
Institutions of the University: | Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Functional Materials > Chair Functional Materials - Univ.-Prof. Dr.-Ing. Ralf Moos Profile Fields > Advanced Fields > Advanced Materials Research Institutions > Research Centres > Bayreuth Center for Material Science and Engineering - BayMAT Faculties Faculties > Faculty of Engineering Science > Chair Functional Materials Profile Fields Profile Fields > Advanced Fields Research Institutions Research Institutions > Research Centres |
Result of work at the UBT: | Yes |
DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
Date Deposited: | 05 Jul 2022 07:02 |
Last Modified: | 05 Jul 2022 07:02 |
URI: | https://eref.uni-bayreuth.de/id/eprint/70377 |