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• W4385420522 startingPage "8814" @default.
• W4385420522 abstract "Buildings consume a significant amount of energy throughout their lifecycle; Thus, sustainable energy management is crucial for all buildings, and controlling energy consumption has become increasingly important for achieving sustainable construction. Digital twin (DT) technology, which lies at the core of Industry 4.0, has gained widespread adoption in various fields, including building energy analysis. With the ability to monitor, optimize, and predict building energy consumption in real time. DT technology has enabled sustainable building energy management and cost reduction. This paper provides a comprehensive review of the development and application of DT technology in building energy. Specifically, it discusses the background of building information modeling (BIM) and DT technology and their application in energy optimization in buildings. Additionally, this article reviews the application of DT technology in building energy management, indoor environmental monitoring, and building energy efficiency evaluation. It also examines the benefits and challenges of implementing DT technology in building energy analysis and highlights recent case studies. Furthermore, this review emphasizes emerging trends and opportunities for future research, including integrating machine learning techniques with DT technology. The use of DT technology in the energy sector is gaining momentum as efforts to optimize energy efficiency and reduce carbon emissions continue. The advancement of building energy analysis and machine learning technologies is expected to enhance prediction accuracy, optimize energy efficiency, and improve management processes. These advancements have become the focal point of current literature and have the potential to facilitate the transition to clean energy, ultimately achieving sustainable development goals." @default.
• W4385420522 created "2023-08-01" @default.
• W4385420522 creator A5015860750 @default.
• W4385420522 creator A5026088541 @default.
• W4385420522 creator A5044272879 @default.
• W4385420522 creator A5049348625 @default.
• W4385420522 creator A5065119769 @default.
• W4385420522 date "2023-07-30" @default.
• W4385420522 modified "2023-10-16" @default.
• W4385420522 title "Exploring the Benefits and Limitations of Digital Twin Technology in Building Energy" @default.
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