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Designing reliable and maintainable energy systems is crucial for ensuring efficiency, longevity, and sustainability in energy production, distribution, and consumption. Reliability focuses on minimizing failures and ensuring continuous operation under varying conditions, while maintainability emphasizes ease of inspection, repair, and upgrades. A well-designed energy system integrates robust components, predictive maintenance strategies, and advanced monitoring technologies to reduce downtime and operational costs. By prioritizing both reliability and maintainability, engineers can develop resilient energy infrastructures that support modern demands while minimizing environmental impact and lifecycle costs.

Designing Reliability and Maintainability of Energy Systems is a guide to enhancing the resilience and reliability of modern energy infrastructures. Chapters present fundamental principles of reliability and resilience and new artificial intelligence applications, such as predictive maintenance, advanced analytics, and digital twin technologies for improved efficiency and sustainability in energy systems. Clear chapter objectives, worked problems, and case studies are included to demonstrate real-world applications of these technologies.

This book is valuable for researchers, industry professionals, engineers, and advanced undergraduate and graduate students focused on energy grids, power system reliability, and AI-driven solutions for sustainable infrastructure.

  • Provides a foundation with the fundamental principles and strategies for reliability and resilience
  • Introduces the readers to a toolbox of AI methodologies with a variety of applications
  • Leverages clear chapter objectives, worked problems, and detailed case studies to support real-world solution-building

1. 1 Introduction - p. 81 2. 2 Single-user ambient carrier-based backscatter sensing networks - p. 84 3. 3 NOMA ambient carrier-based backscatter sensing networks - p. 102 4. 4 Conclusions - p. 122 5. Chapter 5. Hardware-in-the-loop-based assessment of special protection schemes for reliability enhancement - p. 127 6. Chapter 6. Ensuring the reliability and resilience of power converters for LED lighting systems, part I: Capacitors - p. 149 7. Chapter 7. Models for life and reliability of high voltage cables - p. 191 8. 1 Foreword - p. 191 9. 2 Modeling life and reliability of HV cables: Basic concepts - p. 193 10. 3 Life models for single stress - p. 198 11. 4 Multi-stress life and reliability models - p. 208 12. 5 Insulation volume effect and enlargement law for HV cable insulation - p. 215 13. 6 Electro-thermal reliability model for a complete HV cable system with joints and terminations - p. 217 14. 7 Life estimation of HV cables under thermal transients - p. 219 15. 8 Prediction of life and reliability of HV cables in the presence of voltage transients - p. 235 16. 9 Discussion - p. 245 17. 10 Conclusions - p. 248 18. Chapter 8. Design of reliable and resilient electric power systems for wide-body all-electric aircraft - p. 261 19. Chapter 9. Impact of remedial action schemes on the reliability and integrity of power electrical systems - p. 293 20. Chapter 10. Ensuring the reliability and resilience of power converters for LED lighting systems, part II: the role of the PCB, power inductors, and optoelectronics - p. 321 21. Chapter 11. Analysis of LVFRT capabilities of microgrids including WT generating units supported by energy storage devices - p. 361 22. Chapter 12. Design of power reliability and resilience in more electric aircraft systems - p. 389 23. Chapter 13. Design for resilience and distributed fixed-time control of MTDC systems under DoS attacks - p. 421 24. Chapter 14. Signature reliability analysis of multiplex backup generators via-UGF with a k-out-of-n:G strategy - p. 453 25. Chapter 15. Measurement methods for the detection and analysis of interarea oscillations in electrical transmission networks - p. 469 26. 1 Introduction - p. 469 27. 2 Method for off-line analysis based on optimized Hilbert Transform - p. 471 28. 3 Method multi-channel for ambient data based on DMD approach - p. 484 29. 4 Conclusions - p. 502 30. Chapter 16. System integrity protection design for enhanced transient stability of Taiwan power system: A holistic approach involving reliable generator rejection and multi-phase transmission line reclosing - p. 505 31. Chapter 17. Investigating load growth in distribution systems for improved system reliability considering loadability - p. 531 32. Index - p. 573

Descripcion
Descripción

Designing reliable and maintainable energy systems is crucial for ensuring efficiency, longevity, and sustainability in energy production, distribution, and consumption. Reliability focuses on minimizing failures and ensuring continuous operation under varying conditions, while maintainability emphasizes ease of inspection, repair, and upgrades. A well-designed energy system integrates robust components, predictive maintenance strategies, and advanced monitoring technologies to reduce downtime and operational costs. By prioritizing both reliability and maintainability, engineers can develop resilient energy infrastructures that support modern demands while minimizing environmental impact and lifecycle costs.

Designing Reliability and Maintainability of Energy Systems is a guide to enhancing the resilience and reliability of modern energy infrastructures. Chapters present fundamental principles of reliability and resilience and new artificial intelligence applications, such as predictive maintenance, advanced analytics, and digital twin technologies for improved efficiency and sustainability in energy systems. Clear chapter objectives, worked problems, and case studies are included to demonstrate real-world applications of these technologies.

This book is valuable for researchers, industry professionals, engineers, and advanced undergraduate and graduate students focused on energy grids, power system reliability, and AI-driven solutions for sustainable infrastructure.

  • Provides a foundation with the fundamental principles and strategies for reliability and resilience
  • Introduces the readers to a toolbox of AI methodologies with a variety of applications
  • Leverages clear chapter objectives, worked problems, and detailed case studies to support real-world solution-building

1. 1 Introduction - p. 81 2. 2 Single-user ambient carrier-based backscatter sensing networks - p. 84 3. 3 NOMA ambient carrier-based backscatter sensing networks - p. 102 4. 4 Conclusions - p. 122 5. Chapter 5. Hardware-in-the-loop-based assessment of special protection schemes for reliability enhancement - p. 127 6. Chapter 6. Ensuring the reliability and resilience of power converters for LED lighting systems, part I: Capacitors - p. 149 7. Chapter 7. Models for life and reliability of high voltage cables - p. 191 8. 1 Foreword - p. 191 9. 2 Modeling life and reliability of HV cables: Basic concepts - p. 193 10. 3 Life models for single stress - p. 198 11. 4 Multi-stress life and reliability models - p. 208 12. 5 Insulation volume effect and enlargement law for HV cable insulation - p. 215 13. 6 Electro-thermal reliability model for a complete HV cable system with joints and terminations - p. 217 14. 7 Life estimation of HV cables under thermal transients - p. 219 15. 8 Prediction of life and reliability of HV cables in the presence of voltage transients - p. 235 16. 9 Discussion - p. 245 17. 10 Conclusions - p. 248 18. Chapter 8. Design of reliable and resilient electric power systems for wide-body all-electric aircraft - p. 261 19. Chapter 9. Impact of remedial action schemes on the reliability and integrity of power electrical systems - p. 293 20. Chapter 10. Ensuring the reliability and resilience of power converters for LED lighting systems, part II: the role of the PCB, power inductors, and optoelectronics - p. 321 21. Chapter 11. Analysis of LVFRT capabilities of microgrids including WT generating units supported by energy storage devices - p. 361 22. Chapter 12. Design of power reliability and resilience in more electric aircraft systems - p. 389 23. Chapter 13. Design for resilience and distributed fixed-time control of MTDC systems under DoS attacks - p. 421 24. Chapter 14. Signature reliability analysis of multiplex backup generators via-UGF with a k-out-of-n:G strategy - p. 453 25. Chapter 15. Measurement methods for the detection and analysis of interarea oscillations in electrical transmission networks - p. 469 26. 1 Introduction - p. 469 27. 2 Method for off-line analysis based on optimized Hilbert Transform - p. 471 28. 3 Method multi-channel for ambient data based on DMD approach - p. 484 29. 4 Conclusions - p. 502 30. Chapter 16. System integrity protection design for enhanced transient stability of Taiwan power system: A holistic approach involving reliable generator rejection and multi-phase transmission line reclosing - p. 505 31. Chapter 17. Investigating load growth in distribution systems for improved system reliability considering loadability - p. 531 32. Index - p. 573

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