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March 21, 2026Renewable and Sustainable Energy TechnologyOpen Access

An Overview of Digitalization Pathways for Green Hydrogen Production: AI, Machine Learning, IoT, Digital Twin, and Blockchain

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Authors

MMMontaser MahmoudANAtef M. K. NassarAAAdnan Alashkar

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Overview

This review demonstrates advancements in green hydrogen production using digital technologies, indicating their impact on efficiency and transparency.

Key Points

  • The aim is to explore how digital technologies can enhance the efficiency and transparency of green hydrogen production.
  • Reviewed current advancements in digitalization for green hydrogen production
  • Focused on technologies such as AI, ML, IoT, DT, and blockchain
  • Considered applications across various scales for optimization and monitoring
  • Data-driven control and automation significantly enhance production efficiency
  • Blockchain frameworks improve transaction security and supply chain transparency
  • Identified challenges include infrastructure limitations and data interoperability

Cite This Study

Mahmoud et al. (2025) studied this question.

synapsesocial.com/papers/69be36f76e48c4981c6763aehttps://doi.org/10.53941/rset.2025.100011
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1HyProcess: A Smart Process System for Optimized Green Hydrogen Production, Storage and Transportation2026
  2. 2A comprehensive review of green hydrogen pathways and applications in emerging energy systems2026
  3. 3Green Hydrogen in Integrated Multi-Energy Systems: Technological Pathways, Policy and Market Perspectives, and the Role of Artificial Intelligence2026 · 2 citations
  4. 4Recent Advancements in Green Hydrogen Production and Storage2026 · 3 citations
  5. 5The current state and future prospects of green energy generation from green hydrogen2026