Enhancing Building Energy Efficiency through Real-time Predictive Control using Digital Twin Technology

Edi Leksono, Justin Pradipta, Atika Previanti

Abstract


This paper presents a novel approach to improve building energy efficiency by employing real-time predictive control algorithms powered by digital twin technology. A dynamic digital twin model is developed, capturing the building's characteristics and systems in real-time. Leveraging this model, the study applies predictive control techniques to optimize energy usage and minimize wastage. Experimental evaluations demonstrate the effectiveness of the proposed approach in achieving substantial energy savings while maintaining occupant comfort levels. The results showcase the potential of digital twin-based predictive control as a valuable tool for enhancing building energy efficiency.

References


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