The challenge
Reducing building energy consumption requires understanding thermal behaviour and comparing possible interventions before undertaking renovation work.
The 4fastsim-ibat project aims to combine physical simulation, artificial intelligence methods and sensor data to study existing buildings.
Objectives
- Develop a building information model (BIM) of existing buildings.
- Develop a fast 3D thermal model combining learning methods and physical simulation.
- Use sensors deployed on the IBat platform.
Tools and collaboration
The project uses Feel++ for numerical simulation and neural networks for learning methods. The original page describes a collaboration between Cemosis and Synapse-Concept, funded by the Région Grand Est.

