Abstract
Aqueous Zn-I flow batteries are attractive for grid storage owing to their inherent safety, high energy density, and cost-effectiveness. However, Zn anode deposition/dissolution reactions cause severe water migration owing to ionic imbalance, especially under harsh conditions with high state-of-charge and high areal/volumetric capacities, further exacerbating intrinsic challenges for practical Zn-I systems. Herein, we develop a tailored ionic-molecular sieve membrane to regulate the transport behaviors of water/hydrated ion clusters, enabling the electrolyte balance by precise size sieving effects. Systematic investigations of different subnanometer pore sizes reveal that the optimal range (0.55–0.65 nm) can selectively intercept large hydrated ion clusters and reduce polyiodide shuttling. In this way, Zn-I flow batteries with this membrane exhibit a stable cycling over 2000 h (500 cycles) under harsh conditions (50% state-of-charge), achieving 66.4 mAh cm−2/53.2 Ah L−1posolyte/27.66 Wh L−1system. This systems also deliver a low self-discharging rate, retaining a high Coulombic efficiency of 98.5% after 3 days static flow. Furthermore, techno-economic cost analysis reveals a competitive levelized cost of long-term energy storage for systems incorporating this membrane (551.98 USD MWh−1 at an energy-to-power ratio of 18 h). This work offers insights into controlling water transport behaviors for realizing long-life flow batteries.
| Original language | English |
|---|---|
| Article number | 9301 |
| Journal | Nature Communications |
| Volume | 16 |
| Issue number | 1 |
| Early online date | 21 Oct 2025 |
| DOIs | |
| Publication status | Published - Dec 2025 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Author(s) 2025.
Funding
The work described in this paper was supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. CityU C1002-21G) and Guangdong Basic and Applied Basic Research Foundation under Project 2022B1515120019. This work was also supported in part by the InnoHK Project on [Project 1.3 - Flexible and Stretchable Technologies (FAST) for monitoring of CVD risk factors: Sensing and Applications] at the Hong Kong Centre for Cerebro-cardiovascular Health Engineering (COCHE).
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