Smart Digital Twin for Energy Efficiency in Buildings Using BIM, IoT and AI: Case Study of Villa in Morocco

This work outlines the creation of an intelligent digital twin for residential Villa that integrates Building Information Modeling (BIM), the Internet of Things (IoT), and Artificial Intelligence (AI) to improve building energy efficiency. A comprehensive 3D model was developed using Revit 2024.3, allowing for solar and energy simulations through Insight and DesignBuilder. Real-time environmental data,such as temperature, humidity, lighting, and occupancy, were gathered via IoT sensors and analyzed using machine learning algorithms to forecast energy consumption patterns and identify anomalies. Based on these insights, automated control strategies for HVAC and lighting systems were implemented to enhance comfort and reduce energy waste. The proposed framework offers a dynamic, scalable, and regulation-compliant solution for smart energy management in Moroccan buildings. Overall, the developed digital twin showcases the practical potential of integrating BIM, IoT, and AI to achieve sustainable and autonomous building operations.