Journal of Engineering Research and Reports

Digital Twins (DTs) represent a transformative approach to managing smart building systems, particularly in optimizing energy consumption and integrating renewable energy sources. This review examines the evolution and application of DT technology in smart buildings, highlighting how real-time data synchronization and predictive modeling enhance energy management strategies. By creating virtual replicas of physical structures, DTs allow for precise monitoring and analysis of energy flows, facilitating proactive responses to changing demands and improving operational efficiency. The integration of renewable energy sources, such as solar panels and wind turbines, is explored, displaying how DTs can manage variability and optimize use based on predictive analytics. This review also addresses challenges and future directions in the deployment of Digital Twins in energy management, emphasizing the need for robust data management, cyber security measures, and interdisciplinary collaboration to fully realize their potential. Overall, the application of Digital Twins in smart building systems promises significant advancements in energy efficiency and sustainability. This study explores the integration of digital twin technology in smart building energy management, highlighting its potential to enhance efficiency, optimize energy consumption, and improve overall sustainability. By reviewing recent advancements, this research provides valuable insights into how digital twins can revolutionize energy management strategies, paving the way for smarter and more adaptive building solutions.