Investigating the hydrogen renaissance in the global energy transition with AI integration

• Hydrogen helps reduce carbon emissions. • Different types of hydrogen have varying environmental impacts. • AI and carbon capture can solve hydrogen challenges. • Hydrogen improves energy storage and disaster recovery. • Collaboration and policies support hydrogen’s success. Hydrogen is increasingly recognized as a crucial element in the global shift towards a low-carbon economy, with the potential to decarbonize multiple sectors, including industry, transportation, and energy systems. However, its widespread adoption is hindered by challenges such as high production costs, storage limitations, and infrastructure gaps. Artificial intelligence (AI) emerges as a transformative tool to accelerate the hydrogen renaissance within the energy transition by addressing these barriers. AI plays a pivotal role in optimizing hydrogen production methods, such as electrolysis, by enhancing process efficiencies through machine learning models that predict and optimize operational parameters. In storage, AI-driven algorithms are improving the management of hydrogen in large-scale storage systems, helping to mitigate issues such as leakage and optimizing storage conditions. AI also facilitates the integration of hydrogen into existing energy grids by enabling real-time monitoring and predictive maintenance, ensuring better energy management and stability. Furthermore, AI can drive innovations in the use of hydrogen for energy storage and in applications like disaster resilience, where hydrogen can serve as a reliable backup energy source. The integration of AI with hydrogen production and storage solutions not only helps lower costs but also increases the scalability of hydrogen technologies, thus accelerating their role in the global energy transition. This paper highlights the significant synergies between hydrogen technologies and AI, discussing the methodologies employed to investigate these intersections and the potential outcomes for accelerating hydrogen adoption. Interdisciplinary collaboration and international partnerships, supported by policies that promote AI and hydrogen innovation, are essential to realizing the full potential of hydrogen in mitigating climate change and fostering a sustainable energy future.

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Publication Details

Journal
Energy Conversion and Management X
Published
2025-04-01
DOI
https://doi.org/10.1016/j.ecmx.2025.101010
Citations
8
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
4.25
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article

Investigating the hydrogen renaissance in the global energy transition with AI integration

Abderrahim Lakhouit
8 citations
Energy Conversion and Management X
Hybrid Renewable Energy Systems
4.25
article

Investigating the hydrogen renaissance in the global energy transition with AI integration

Abderrahim Lakhouit
article en
8 citations

Abstract

• Hydrogen helps reduce carbon emissions. • Different types of hydrogen have varying environmental impacts. • AI and carbon capture can solve hydrogen challenges. • Hydrogen improves energy storage and disaster recovery. • Collaboration and policies support hydrogen’s success. Hydrogen is increasingly recognized as a crucial element in the global shift towards a low-carbon economy, with the potential to decarbonize multiple sectors, including industry, transportation, and energy systems. However, its widespread adoption is hindered by challenges such as high production costs, storage limitations, and infrastructure gaps. Artificial intelligence (AI) emerges as a transformative tool to accelerate the hydrogen renaissance within the energy transition by addressing these barriers. AI plays a pivotal role in optimizing hydrogen production methods, such as electrolysis, by enhancing process efficiencies through machine learning models that predict and optimize operational parameters. In storage, AI-driven algorithms are improving the management of hydrogen in large-scale storage systems, helping to mitigate issues such as leakage and optimizing storage conditions. AI also facilitates the integration of hydrogen into existing energy grids by enabling real-time monitoring and predictive maintenance, ensuring better energy management and stability. Furthermore, AI can drive innovations in the use of hydrogen for energy storage and in applications like disaster resilience, where hydrogen can serve as a reliable backup energy source. The integration of AI with hydrogen production and storage solutions not only helps lower costs but also increases the scalability of hydrogen technologies, thus accelerating their role in the global energy transition. This paper highlights the significant synergies between hydrogen technologies and AI, discussing the methodologies employed to investigate these intersections and the potential outcomes for accelerating hydrogen adoption. Interdisciplinary collaboration and international partnerships, supported by policies that promote AI and hydrogen innovation, are essential to realizing the full potential of hydrogen in mitigating climate change and fostering a sustainable energy future.

Energy Conversion and Management XVol. 26
University of Tabuk (SA)
Affordable and clean energy
Openalex Percentile: Top 6%
Hybrid Renewable Energy Systems
4.25
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