Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model-Reference-Cited by-同舟云学术

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Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model

Published:2024-12 Issue: Volume:18 Page:100411
ISSN:2666-5468
Container-title:Energy and AI
language:en
Short-container-title:Energy and AI

Author:

Wu Lizhen,Pan Zhefei,Yuan Shu,Huo Xiaoyu,Zheng Qiang,Yan Xiaohui,An Liang^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. An overview of water electrolysis technologies for green hydrogen production;Shiva Kumar;Energy Reports,2022

2. Recent advancement and assessment of green hydrogen production technologies;Zainal;Renewable and Sustainable Energy Reviews,2024

3. Two-phase analytical modeling and intelligence parameter estimation of proton exchange membrane electrolyzer for hydrogen production;Wang;Renewable Energy,2023

4. Analysis of PEM and AEM electrolysis by neural network pattern recognition, association rule mining and LIME;Günay;Energy and AI,2023

5. Advanced membrane-based electrode engineering toward efficient and durable water electrolysis and cost-effective seawater electrolysis in membrane electrolyzers;Tang;Exploration,2024

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