4️⃣4️⃣4️⃣Digital Twin-Driven Intelligent Energy Management System for Smart Buildings
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🔴Abstract
Digital Twin technology has recently emerged as a transformative tool for intelligent monitoring, simulation, and optimization of complex energy systems. This research presents a Digital Twin-driven energy management system designed for smart buildings equipped with renewable energy sources, battery storage systems, and intelligent loads. A real-time virtual replica of the physical building is continuously synchronized with sensor measurements to accurately represent the operational status of the energy system. The Digital Twin enables predictive analysis of future operating scenarios and supports optimal decision-making through an adaptive optimization algorithm. The proposed EMS simultaneously minimizes electricity costs, peak demand, energy waste, and greenhouse gas emissions while maintaining occupant comfort. Furthermore, predictive maintenance capabilities are integrated into the Digital Twin to identify equipment degradation before failures occur, thereby improving system reliability and reducing maintenance expenses. The effectiveness of the proposed framework will be evaluated under different weather conditions, occupancy patterns, and electricity pricing schemes. Comparative results are expected to demonstrate substantial improvements in energy efficiency, operational flexibility, and economic performance compared with conventional building energy management systems, highlighting the significant potential of Digital Twin technology in future smart cities.
August 4, 2026 251 4
