JOURNAL ARTICLE

Hydroenergy Inspiring Large‐Scale Piezoelectric Catalysis for Seawater Hydrogen Evolution.

  • Published In: Angewandte Chemie International Edition, 2025, v. 64, n. 29. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Liu, Wenyuan; Zhu, Shu; Ran, Maoxi; Fu, Zhihao; Zhang, Mengke; Zhang, Yayun; Wang, Hualin; Xing, Mingyang; Fu, Pengbo 3 of 3

Abstract

The piezoelectric effect presents a promising avenue for harvesting and utilizing low‐grade mechanical energy. However, challenges from lacking matched industrial equipment and maintaining catalytic performance during scaling up impede the engineering of piezo‐catalysis. Here, utilizing mechanical energy of water to inspire piezoelectricity, a successful attempt at large‐scale piezo‐catalysis seawater H2 evolution was reported for the first time, exhibiting an efficiency of 36.82% for converting mechanical energy to hydrogen energy. A scaling‐up test with 20 L of seawater was conducted, yielding an H2 production rate of 0.73 L h−1, which just occupied 0.7 m2. This performance (1.04 L h−1 m−2) exceeds the large‐scale photocatalytic pure water H2 production by panel reactor array (0.18∼0.25 L h−1 m−2) reported in 2021. Additionally, the H2 evolution activity of the 20 L system showed no obvious decline compared with the 50 mL system before scaling‐up, owing to the utilization of ternary piezo‐catalysts system, which capitalized on the synergistic coupling effect of kinetics and thermodynamics. This attempt provides a prototype for pursuing large‐scale piezo‐catalysis and practical engineering application. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Angewandte Chemie International Edition. 2025/07, Vol. 64, Issue 29, p1
  • Document Type:Article
  • Subject Area:Power and Energy
  • Publication Date:2025
  • ISSN:1433-7851
  • DOI:10.1002/anie.202504749
  • Accession Number:186620822
  • Copyright Statement:Copyright of Angewandte Chemie International Edition is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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