Next-Generation Nuclear Systems AI Integration, Passive Safety, and Advanced Reactor Engineering: A Knowledge-Based Reference for Future Nuclear Energy Solutions addresses the urgent need for safe, sustainable, and resilient energy solutions. The book systematically covers next-generation reactor concepts, passive safety technologies, electromagnetic pump design, and advanced cooling and energy conversion cycles. It explores the transformative role of AI in predictive maintenance, cybersecurity, and smart grid operations, offering practical insights and case studies that bridge the gap between technical theory and real-world application. Each chapter follows a consistent structure, presenting foundational principles, design methodologies, and applications relevant to current and future energy systems.
The book empowers its audience to analyze, design, and implement innovative nuclear and AI solutions. By consolidating knowledge across disciplines, it equips professionals and academics with the tools to address critical energy and environmental challenges.
1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. About the authors - p. xiii 8. Preface - p. xv 9. Acknowledgments - p. xxi 10. 1 Next generation nuclear plant - p. 1 11. 2 Artificial intelligence-driven nuclear applications - p. 77 12. 3 Energy forecasting with artificial intelligence demanding secured smart grid - p. 95 13. 4 Electromagnetic pump for large pool liquid metal fast breeder reactor concept - p. 113 14. 5 Preliminary research approach, design, and methodology driven EMP - p. 143 15. 6 Nuclear power reactors-driven radiation harden environments - p. 163 16. 7 Heat pipe application-driven fission nuclear power plant - p. 177 17. 8 Nuclear air-Brayton combined cycle (NACC) - p. 195 18. 9 Direct reactor auxiliary cooling systems (DRACS) and decay heat removal - p. 217 19. 10 A practical example for heat pipe design driven by artificial intelligence - p. 245 20. Index - p. 263
Next-Generation Nuclear Systems AI Integration, Passive Safety, and Advanced Reactor Engineering: A Knowledge-Based Reference for Future Nuclear Energy Solutions addresses the urgent need for safe, sustainable, and resilient energy solutions. The book systematically covers next-generation reactor concepts, passive safety technologies, electromagnetic pump design, and advanced cooling and energy conversion cycles. It explores the transformative role of AI in predictive maintenance, cybersecurity, and smart grid operations, offering practical insights and case studies that bridge the gap between technical theory and real-world application. Each chapter follows a consistent structure, presenting foundational principles, design methodologies, and applications relevant to current and future energy systems.
The book empowers its audience to analyze, design, and implement innovative nuclear and AI solutions. By consolidating knowledge across disciplines, it equips professionals and academics with the tools to address critical energy and environmental challenges.
1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. About the authors - p. xiii 8. Preface - p. xv 9. Acknowledgments - p. xxi 10. 1 Next generation nuclear plant - p. 1 11. 2 Artificial intelligence-driven nuclear applications - p. 77 12. 3 Energy forecasting with artificial intelligence demanding secured smart grid - p. 95 13. 4 Electromagnetic pump for large pool liquid metal fast breeder reactor concept - p. 113 14. 5 Preliminary research approach, design, and methodology driven EMP - p. 143 15. 6 Nuclear power reactors-driven radiation harden environments - p. 163 16. 7 Heat pipe application-driven fission nuclear power plant - p. 177 17. 8 Nuclear air-Brayton combined cycle (NACC) - p. 195 18. 9 Direct reactor auxiliary cooling systems (DRACS) and decay heat removal - p. 217 19. 10 A practical example for heat pipe design driven by artificial intelligence - p. 245 20. Index - p. 263
