The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain

Erscheinungsjahr 2025
ISBN: 978-0-443-41467-1
Verlag: Elsevier Science

Buch, Englisch, 330 Seiten, Format (B × H): 152 mm x 229 mm

The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain provides an essential guide to understanding the transformative potential of advanced technologies in decentralized hydrogen communities. This comprehensive resource covers the intersection of AI, IoT, and blockchain with sustainable energy, offering insights from foundational principles to advanced applications. Readers will learn about the environmental benefits of hydrogen over fossil fuels, electrolysis, and the integration of innovative technologies to enhance hydrogen production and distribution. The book delves into the role of fuel cells in clean energy, advanced AI algorithms in hydrogen production, blockchain trust in hydrogen networks, and IoT connectivity.

Economic considerations, policy frameworks, and the future of decentralized hydrogen communities are also explored, making this an invaluable reference for researchers, industry professionals, policymakers, and students interested in the hydrogen economy.

Autoren/Hrsg.

Pourrahmani, Hossein

Madi, Hossein

Herle, Jan van

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien

Inhaltsverzeichnis

1. The Decentralized Hydrogen Landscape
2. Advanced Electrolyzers: Green Path to Hydrogen Production
3. Fuel Cells: Transforming Hydrogen into Clean Energy
4. Advanced Artificial Intelligence Algorithms in Hydrogen Production
5. Blockchain Trust in Hydrogen Networks
6. Internet of Things Connectivity for Optimization of Hydrogen Systems and Technologies
7. Economic Considerations and Policy Frameworks in Hydrogen Production
8. A Blueprint for a Resilient Future: Every Home a Producer of Hydrogen

Über Autor(innen)

Pourrahmani, Hossein
Dr. Hossein Pourrahmani is a distinguished researcher in mechanical and energy engineering, focusing on computational science, artificial intelligence, and advanced energy systems. He holds a Ph.D. in Energy from EPFL and has significantly advanced renewable energy technologies, particularly in proton exchange membrane fuel cells and electrolyzers. He authored "The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain," highlighting AI's role in the hydrogen economy. With over 40 peer-reviewed publications and collaborations with organizations like the DOE and European Commission, he is set to publish "Mechanical and Chemical Engineering in the Age of Artificial Intelligence," bridging theory and practice.

Madi, Hossein
Dr. Hossein Madi is a distinguished scientist at the Paul Scherrer Institut (PSI), renowned for his contributions to energy transition and the decarbonization of energy systems. Having earned his Ph.D. from École Polytechnique Fédérale de Lausanne in 2016, Dr. Madi has been at the forefront of research in various energy domains ever since. His pioneering work on integrating biogas with SOFC systems and investigating the effects of impurities on SOFC performance has garnered significant attention. Since joining PSI in 2019, Dr. Madi's focus has shifted towards Power-to-X concepts, where he conducts thorough techno-economic analyses to evaluate the feasibility of energy conversion and storage solutions, including hydrogen production, methanation, and methanol synthesis.

Herle, Jan van
Dr. Jan Van herle is an electrochemist specialised in fuel cells and electrolysis since over 30 years. After a Ph.D. in the field at EPFL Switzerland in 1993, he did a postdoc in Japan and returned to EPFL to lead a research group activity. Switching to Mechanical Engineering in 2000 and founding a fuel cell start-up the same year, he built up a Laboratory that covers aspects from nanometric interfaces all the way to entire system optimisation, combining detailed experimental diagnostics and validation with multi-scale multi-physics modelling. His Group produced so far 26 PhD theses, 95 master theses and over 400 publications, contributing to understanding performance durability and improving designs and characterisation of fuel cell and electrolyzer devices.