Full Description
This book bridges the gap between theoretical research and practical applications in the field of smart building energy management. With a structure that offers a blend of theoretical concepts, practical implementations, and case studies, the book is designed to serve as a comprehensive resource for researchers, practitioners, and students. It navigates through control strategies, meta-heuristic approaches, intelligent controller designs, and the balancing of energy efficiency with occupant comfort, all underpinned by both academic research and industry practices. Specific pedagogical examples involving Python™ have been used within the book to aid the understanding of certain concepts, in addition to a chapter dedicated to EnergyPlus™.
Contents
Part I Background.- 1 Introduction.- 2 Renewable Energy, Smart Grids and Demand Side Management (DSM).- 3 Introduction to Building Digital Twins.- Part II Application of Computational Intelligence (CI) to BEMS.- 4 Foundations of Computational Intelligence (CI) for Building Digital Twins.- 5 Intelligent Control Strategies for Efficient Building Energy Management Systems (BEMS).- 6 EnergyPlus™ Primer.- Part III Industrial Deployment of Intelligent Building Digital Twins.- 7 Augmenting Building Digital Twins with Artificial Intelligence (AI).- 8 Integrated Building Energy Management Systems (iBEMS).- 9 Consensus based Control of Smart Appliances and Building Automation in Digital Twin Environments.- Glossary.-Index.
