Physical Basis of Multi-Energy Coupling-Driven Water Oxidation.
electrocatalysis
heat
hydrogen production
multi-energy coupling
water oxidation
Journal
Frontiers in chemistry
ISSN: 2296-2646
Titre abrégé: Front Chem
Pays: Switzerland
ID NLM: 101627988
Informations de publication
Date de publication:
2022
2022
Historique:
received:
23
03
2022
accepted:
04
04
2022
entrez:
26
5
2022
pubmed:
27
5
2022
medline:
27
5
2022
Statut:
epublish
Résumé
Hydrogen production by electrolyzing water is an important technique to store energy from renewables into chemical energy. Many efforts have been made to improve the energy conversion efficiency. In this review article, we mainly summarized the emerging ideas on water oxidation by multi-energy coupling. First, the physicochemical nature of electrolyzing water reaction is described. Then, we conceptually proposed the physical basis of energy coupling with a goal to maximize the energy conversion efficiency and showed the methods to achieve heat-electricity and magnetism-electricity coupling to drive water splitting. Finally, the material requirements for creating efficient energy coupling water splitting system were proposed. These new ideas unlock a big potential direction for developing multi-energy coupling hydrogen production devices to efficiently store the intermittent and fluctuating renewables.
Identifiants
pubmed: 35615312
doi: 10.3389/fchem.2022.902814
pii: 902814
pmc: PMC9125254
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
902814Informations de copyright
Copyright © 2022 Han, Yuan, Liu, Zheng, Huang, Yan and Zou.
Déclaration de conflit d'intérêts
ZH was employed by State Grid Liaoning Electric Power Supply Co. Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declare that this study received funding from Liaoning Electric Power Co., Ltd. The funder had the following involvement in the study: The data collection and analysis.
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