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https://hdl.handle.net/1959.11/64097
Title: | Electrolyte optimization for enhanced electrode performance in aqueous Zn//WO3 mixed-ion battery |
Contributor(s): | Ahmed Elkholy, Ayman E (author); Dhmees, Abdelghaffar S (author); Hussain, Tanveer (author) ; El-Taib Heakal, Fakiha (author) |
Publication Date: | 2025-01-01 |
DOI: | 10.1016/j.est.2024.114691 |
Handle Link: | https://hdl.handle.net/1959.11/64097 |
Abstract: | | Aqueous electrochemical energy storage has emerged as a low-cost and sustainable technology. Among the diverse array of electrode materials, tungsten trioxide (WO3) holds promise due to its unique electrochemical properties and environmental compatibility. In this study, we investigate the potential of WO3 for aqueous energy storage applications, focusing on its performance in different electrolytes, namely, 0.5 M Na2SO4, 1.0 M ZnSO4, and 0.5 M Al2(SO4)3. Electrochemical measurements and density functional theory (DFT) calculations indicate that the charge density of electrolyte cation influences the WO3 electrode performance. A superior performance is observed in the Al2(SO4)3 electrolyte due to the high charge density of Al3+ ions. We further investigate WO3 as a cathode in the full-cell configuration using Zn metal as an anode and a mixed solution of 1.0 M ZnSO4 and 0.5 M Al2(SO4)3 as an electrolyte. The mixed-ion Zn//WO3 battery exhibits high specific energy and good cycling stability, highlighting the feasibility of WO3 as an electrode for practical aqueous energy storage. Overall, this study provides insights into the electrochemical behavior of WO3 in aqueous environments and underscores its potential for advancing sustainable energy solutions
Publication Type: | Journal Article |
Source of Publication: | Journal of Energy Storage, v.105, p. 1-11 |
Publisher: | Elsevier BV |
Place of Publication: | The Netherlands |
ISSN: | 2352-1538 2352-152X |
Fields of Research (FoR) 2020: | 510403 Condensed matter modelling and density functional theory 510499 Condensed matter physics not elsewhere classified 340701 Computational chemistry |
Peer Reviewed: | Yes |
HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
Appears in Collections: | Journal Article School of Science and Technology
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