AI Performance Simulation

Performance simulation predicts how a building will behave under various conditions — thermal performance under extreme weather, structural response to seismic loads, daylighting distribution across seasons, and airflow patterns under different HVAC operating modes. AI accelerates these simulations from hours to minutes, enabling iterative design exploration that was previously impractical.

The acceleration comes from AI surrogate models — neural networks trained on thousands of prior simulation results that can predict outcomes nearly instantaneously without running the full physics-based simulation. An energy simulation that takes 2 hours using EnergyPlus can be approximated in 2 seconds by an AI surrogate, with accuracy sufficient for design decision-making. When a design option is selected, the full simulation confirms the result.

For multi-disciplinary optimization, AI runs concurrent simulations across multiple performance criteria — energy, daylighting, acoustics, structural — and identifies designs that perform well across all criteria simultaneously. This holistic evaluation prevents the common problem of optimizing for one criterion (energy efficiency) while degrading another (daylighting), producing designs that genuinely outperform across the board.