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.
Key Features: 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 About the Editors: Fausto Pedro García Márquez is a Professor and as Director of the Ingenium Research Group at the Universidad de Castilla-La Mancha, Spain. René Vinicio Sánchez Loja is a Professor at the Universidad Politécnica Salesiana, Ecuador, working mainly in areas related to predictive maintenance and safety. Mayorkinos Papaelias is a Professor in NDT and Condition Monitoring in the School of Metallurgy and Materials at the University of Birmingham, UK.