Toggle Main Menu Toggle Search

Open Access padlockePrints

Co-electrolysis of H2O and CO2 on exsolved Ni nanoparticles for efficient syngas generation at controllable H2/CO ratios

Lookup NU author(s): Dr Dragos Neagu, Dr Evangelos Papaioannou, Professor Ian Metcalfe

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2019 Elsevier B.V.Syngas (CO+H2) is a key-intermediate for the production of liquid fuels via the Fischer-Tropsch process. An emerging technology for generating syngas is the co-electrolysis of H2O/CO2 in solid oxide cells powered by renewable electricity. An application of this technology, however, is still challenging because the Ni-based cermet fuel electrodes are susceptible to degradation under redox and coking conditions, requiring protective hydrogen atmosphere to maintain stable operation. Perovskite oxides are the most promising alternatives due to their redox stability, extensive range of functionalities and the exsolution concept. The latter allows perovskites to be decorated with uniformly dispersed Ni nanoparticles with unique functionalities that can dramatically enhance the performance. Herein, we demonstrate the advantage of employing a nanoparticle-decorated La0.43Ca0.37Ni0.06Ti0.94O3 (LCT-Ni) perovskite to efficiently generate syngas at adjustable H2/CO ratios and simultaneously avoid the need of a reducing agent, hence decreasing the total cost and complexity of the process.


Publication metadata

Author(s): Kyriakou V, Neagu D, Papaioannou EI, Metcalfe IS, van de Sanden MCM, Tsampas MN

Publication type: Article

Publication status: Published

Journal: Applied Catalysis B: Environmental

Year: 2019

Volume: 258

Print publication date: 05/12/2019

Online publication date: 11/07/2019

Acceptance date: 10/07/2019

Date deposited: 17/09/2019

ISSN (print): 0926-3373

ISSN (electronic): 1873-3883

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.apcatb.2019.117950

DOI: 10.1016/j.apcatb.2019.117950


Altmetrics

Altmetrics provided by Altmetric


Share