The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain
- 1st Edition - July 1, 2025
- Authors: Hossein Pourrahmani, Hossein Madi, Jan Van Herle
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 1 4 6 7 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 1 4 6 8 - 8
The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain is a unique and comprehensive resource that addresses the dynamic inters… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quote- Examines the intricate interplay between artificial intelligence, internet of things, and blockchain technologies and how their integration optimizes decentralized hydrogen production and distribution systems
- Presents insights into cutting-edge advancements in electrolyzers and fuel cells and how AI algorithms enhance the efficiency and reliability of these critical components in decentralized hydrogen networks
- Examines strategic perspectives on the economic viability and policy frameworks essential for supporting decentralized hydrogen initiatives, providing a roadmap for policymakers, industry leaders, and researchers
- Discusses the role of IoT in providing real-time monitoring and control of hydrogen systems and explores how blockchain technology ensures trust, transparency, and security in hydrogen transactions and networks
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
- No. of pages: 330
- Language: English
- Edition: 1
- Published: July 1, 2025
- Imprint: Elsevier
- Paperback ISBN: 9780443414671
- eBook ISBN: 9780443414688
HP
Hossein Pourrahmani
With expertise on hydrogen technologies and production, Dr. Hossein Pourrahmani’s research focuses on the transition from fossil fuel-based to renewable energy systems for the automotive, maritime, and aviation industries. Pourrahmani excels in Electrochemistry and Material Development, enhancing water/thermal management of Gas Diffusion Layer (GDL) in PEM fuel cells and developing novel GDLs. His skills extend to Economic Analyses, Life Cycle Assessment (LCA), and Environmental Analysis, performing detailed cost analyses for fuel cells and batteries. Recognized for System Integration and Multi-generation Systems Engineering, Pourrahmani optimizes energy systems considering Energy, Exergy, Economic, and Environmental (4E) perspectives. He pioneers Artificial Neural Network (ANN) Modeling for non-linear system optimization and explores IoT applications, particularly in PEM fuel cell contamination detection. In 2020, he received the Marie Sklodowska-Curie grant as part of EPFLinnovators, exemplifying his exceptional contributions to the field. Pourrahmani's interdisciplinary work offers valuable insights into sustainable energy solutions, blending scientific rigor with innovative approaches for a greener future. As a new challenge, he has started a new journey at the University of California, Irvine (UCI) to obtain experience in the carbon capture and sequestration processes.
HM
Hossein Madi
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.
JV