AI-Driven Energy Centered Maintenance

3. Auflage 2025
ISBN: 978-87-438-0171-9
Verlag: River Publishers

Buch, Englisch, 308 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: River Publishers Series in Energy Management

This third edition provides a comprehensive update and expansion on the principles and practices of Energy-Centered Maintenance (ECM). It combines advanced concepts with actionable strategies to enhance equipment energy efficiency, reliability, and availability. By integrating cutting-edge developments in artificial intelligence, machine learning, and predictive maintenance, the book offers a modernized approach to facility management that aligns with digital transformation trends.
Designed as a self-study guide and reference for energy engineers, facility managers, and maintenance professionals, this edition provides invaluable knowledge on data-driven and AI-driven maintenance strategies, energy performance optimization, and the integration of smart technologies into maintenance planning. Through practical insights, case studies, and real-world applications, it emphasizes sustainability, operational excellence, and cost-efficiency.
Tailored for engineers, facility managers, students, and decision-makers, this edition equips readers with the tools and knowledge needed to implement ECM effectively in modern facilities. It bridges theoretical foundations with real-world applications, demonstrating ECM’s critical role in reducing energy consumption, enhancing equipment performance, and supporting sustainable, AI-driven facility management practices.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Alshakhshir, Fadi

Fachgebiete

• Naturwissenschaften Physik Mechanik Energie
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Immobilien & Anlagen

Inhaltsverzeichnis

1. Energy Reduction 2. Different Maintenance Types and the Need for Energy Centered Maintenance 3. Energy Centered Maintenance Origin and Model 4. ECM Process – Equipment Identification 5. ECM Process – Data Collection 6. ECM Process – ECM Inspections 7. ECM Process – Measuring Equipment Current Performance 8. ECM Process – Identifying Corrective/ Preventive Action and Cost Effectiveness 9. ECM Process – Updating Preventative Maintenance Plans 10. Energy Centered Maintenance to Avoid Low Delta T Syndrome in Chilled Water Systems 11. Energy Centered Maintenance in Data Centers 12. Measures of Equipment and Maintenance Efficiency and Effectiveness 13. Energy Savings Verification 14. Building Energy Centered Behavior Leading to an Energy Centered Culture 15. Data Driven Energy Centered Maintenance Model 16. AI-Driven Energy Centered Maintenance 17. Conclusion

Über Autor(innen)

Fadi S. Alshakhshir has been a leader in the Middle East’s facility management sector, shaping its future through his expertise, innovation, and commitment to excellence. With over 20 years of experience, he has played an important role in managing some of Dubai’s most iconic landmarks, earning recognition as one of the region’s top professionals in the field. His journey began with a degree in Mechanical Engineering from the Jordan University of Science and Technology, where he built a strong foundation in energy and mechanical systems. He further enhanced his knowledge with a Master of Science in Energy from Heriot-Watt University, focusing on sustainable energy practices. Fadi has achieved several key certifications, including LEED Green Associate, Certified Energy Manager, and Reliability-Centered Maintenance Facilitator. As a Certified ISO Auditor for ISO 50001 and ISO 14001, he brings a well-rounded and sustainability-driven approach to facility management. His career includes leadership positions at Dubai Holding, Emaar Properties, and Damac Properties, where he contributed to the development and operation of world-famous landmarks. One of Fadi’s most notable achievements is the creation of the energy-centered maintenance (ECM) model in 2015. This innovative approach integrates energy efficiency into maintenance strategies, improving performance and reducing costs. His first book, Energy-Centered Maintenance – A Green Maintenance System (2017), was followed by Data-Driven Energy-Centered Maintenance in 2021, which emphasized the use of data analytics to optimize maintenance practices. In 2025, Fadi further advanced this concept with AI-Driven Energy-Centered Maintenance, showcasing the potential of artificial intelligence to revolutionize energy efficiency and predictive maintenance in large-scale operations. Fadi is passionate about using advanced technologies, such as AI and IoT, to improve energy management in major projects. He is also committed to mentoring future leaders, encouraging innovation and progress in the industry.