Circular twin: a digital twin framework for lifecycle prediction and circular economy in built environments

This talk will be about Circular Twin, a sensor-free digital twin framework developed to support circular economy decision-making in built environments. The approach eliminates reliance on physical sensors by integrating material degradation models, environmental data, and usage patterns to estimate the Remaining Useful Life (RUL) of components such as steel, aluminium, and wood. The framework combines data-driven and physics-informed methods to enable predictive maintenance, lifecycle optimisation, and sustainable material selection. A prototype single-room house dashboard demonstrates real-time simulation and scenario analysis. Circular Twin supports stakeholders in reducing waste, extending asset lifespan, and improving resource efficiency for sustainable infrastructure systems.