Fuelling the Future: Intelligent Approaches for Harnessing Hydrogen Energy explores the transformative potential of hydrogen as a clean, renewable energy source. The opening chapter delves into the global need to shift towards sustainable energy solutions, emphasizing hydrogen’s role in reducing carbon emissions and supporting the transition to a greener economy. It introduces machine learning as a cutting-edge tool for solving complex challenges associated with hydrogen production and utilization, offering a glimpse into a smarter, data-driven approach to energy management. It also navigates key issues such as scalability, cost-efficiency, and environmental impacts, ensuring a holistic understanding of hydrogen’s future in energy systems.
Beyond optimization, the book addresses practical applications of hydrogen energy in transportation, industry, and storage.
1. Chapter 1 Introduction: Fueling the future - p. 1 2. Chapter 2 Fundamentals of hydrogen energy - p. 9 3. Chapter 3 Biohydrogen: Present and future - p. 59 4. Chapter 4 Green hydrogen energy - Technical challenges, ethical and social concerns, and future directions - p. 81 5. Chapter 5 Role of hydrogen energy in circular economy - p. 103 6. Chapter 6 Intelligent systems in hydrogen energy - p. 117 7. Chapter 7 Hydrogen-fueled technologies supported by artificial intelligence and machine learning - p. 141 8. Chapter 8 Role of hydrogen powered fuel fells for a sustainable future - p. 157 9. Chapter 9 Machine learning fundamentals for hydrogen production and storage - p. 183 10. Chapter 10 Hydrogen-enabled integrated energy systems: Intelligent solutions for sustainability - p. 201 11. Chapter 11 Implementing machine learning solutions in hydrogen projects - p. 213 12. Chapter 12 Advanced energy management and control systems for hydrogen fuel cell-powered vehicles - p. 245 13. Chapter 13 Environmental and economic considerations - p. 263 14. Chapter 14 Sustainability and social impacts - p. 287 15. Chapter 15 Energy policy in India and the economics of hydrogen production: Current trends and future outlook - p. 315 16. Chapter 16 Global perspectives on hydrogen energy - p. 331 17. Chapter 17 Hydrogen energy horizon: Challenges and barrier identification in adoption of hydrogen energy - p. 347 18. Chapter 18 Future trends and emerging technologies in hydrogen energy - p. 369 19. Chapter 19 Conclusion and outlook: Fuelling the future - p. 391 20. Index - p. 409
Fuelling the Future: Intelligent Approaches for Harnessing Hydrogen Energy explores the transformative potential of hydrogen as a clean, renewable energy source. The opening chapter delves into the global need to shift towards sustainable energy solutions, emphasizing hydrogen’s role in reducing carbon emissions and supporting the transition to a greener economy. It introduces machine learning as a cutting-edge tool for solving complex challenges associated with hydrogen production and utilization, offering a glimpse into a smarter, data-driven approach to energy management. It also navigates key issues such as scalability, cost-efficiency, and environmental impacts, ensuring a holistic understanding of hydrogen’s future in energy systems.
Beyond optimization, the book addresses practical applications of hydrogen energy in transportation, industry, and storage.
1. Chapter 1 Introduction: Fueling the future - p. 1 2. Chapter 2 Fundamentals of hydrogen energy - p. 9 3. Chapter 3 Biohydrogen: Present and future - p. 59 4. Chapter 4 Green hydrogen energy - Technical challenges, ethical and social concerns, and future directions - p. 81 5. Chapter 5 Role of hydrogen energy in circular economy - p. 103 6. Chapter 6 Intelligent systems in hydrogen energy - p. 117 7. Chapter 7 Hydrogen-fueled technologies supported by artificial intelligence and machine learning - p. 141 8. Chapter 8 Role of hydrogen powered fuel fells for a sustainable future - p. 157 9. Chapter 9 Machine learning fundamentals for hydrogen production and storage - p. 183 10. Chapter 10 Hydrogen-enabled integrated energy systems: Intelligent solutions for sustainability - p. 201 11. Chapter 11 Implementing machine learning solutions in hydrogen projects - p. 213 12. Chapter 12 Advanced energy management and control systems for hydrogen fuel cell-powered vehicles - p. 245 13. Chapter 13 Environmental and economic considerations - p. 263 14. Chapter 14 Sustainability and social impacts - p. 287 15. Chapter 15 Energy policy in India and the economics of hydrogen production: Current trends and future outlook - p. 315 16. Chapter 16 Global perspectives on hydrogen energy - p. 331 17. Chapter 17 Hydrogen energy horizon: Challenges and barrier identification in adoption of hydrogen energy - p. 347 18. Chapter 18 Future trends and emerging technologies in hydrogen energy - p. 369 19. Chapter 19 Conclusion and outlook: Fuelling the future - p. 391 20. Index - p. 409
