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 ECMs critical role in reducing energy consumption, enhancing equipment performance, and supporting sustainable, AI-driven facility management practices.
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
Fadi S. Alshakhshir has been a leader in the Middle Easts 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 Dubais most iconic landmarks, earning recognition as one of the regions 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 Fadis 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.
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