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Accelerating the green hydrogen revolution: The synergy of PEMWE and AI

Ning Wang, Huanxin Xiang, Ling Meng, Chunmei Tang, Zhun Dong, Yunsong Yang, Lei Du, Siyu Ye

2025Renewable Energy System and Equipment9 citationsDOIOpen Access PDF

Abstract

The urgent need to address rising CO 2 levels and climate change has driven a global shift towards low-carbon and zero-carbon energy sources. Green hydrogen energy produced through water electrolysis has become as a crucial technology in this transition. Proton exchange membrane water electrolyzers (PEMWEs) emerging as a frontrunner in green hydrogen production technologies, have attracted significant attention due to their efficiency and compatibility with renewable energy sources. In this perspective, the components and challenges of PEMWEs are discussed, demonstrating the need for innovative research to overcome the existing limitations in key materials, such as electrocatalysts, membranes, membrane electrode assemblies (MEAs), stacks, and systems. Moreover, the synergistic potential of Artificial Intelligence (AI) and PEMWE research in terms of discovery and optimization of key materials, design and optimization of MEA, cell, and stack-level management are highlighted. While emphasizing AI's transformative potential in advancing PEMWE technology, we also pointed out the challenges in integrating AI with PEMWE research. This perspective underscores the pivotal role of AI-PEMWE synergy in advancing green hydrogen production and global carbon neutrality efforts.

Topics & Concepts

HydrogenChemistryOrganic chemistryAdvancements in Solid Oxide Fuel CellsMachine Learning in Materials ScienceHybrid Renewable Energy Systems
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