BIM and Digital Twins for Sustainable Refurb/Renovation Projects

This project leverages Building Information Modelling (BIM) and Digital Twin technologies to enhance sustainability and efficiency in refurbishment and renovation projects. By integrating real-time data, AI-driven analytics, and predictive simulations, the approach optimises energy performance, material usage, and lifecycle decision-making. The project aims to bridge the gap between physical assets and digital workflows, enabling adaptive reuse, predictive maintenance, and carbon footprint reduction. Through a data-driven methodology, it supports cost-effective retrofitting strategies aligned with net-zero targets, ensuring long-term resilience and operational efficiency in the built environment.