We are excited to share the results of our latest benchmark validation. Before activating Noviterm AI on any real building, we build a precise Digital Twin — a physics-informed AI model that learns the building’s exact thermal behaviour, wall structure, solar exposure, and HVAC topology.
To guarantee performance, we cross-validate this Digital Twin against two of the world’s most trusted engineering simulation engines:
Only when both engines confirm the model’s accuracy do we activate live optimization.
The numbers below show what this process delivers on the ASHRAE Large Office reference building — the global standard for commercial energy research. The Noviterm AI controller (Neural ODE + MPC) was tested against the industry-standard ASHRAE Guideline 36 PID controller.
Winter Results
3.5 days · 15 zones · Nordpool-extreme tariff vs ASHRAE G36
Summer Results
3.5 days · 15 zones · Nordpool-extreme tariff vs ASHRAE G36
Methodology
All simulations ran with Nordpool-extreme electricity tariff profiles to validate dynamic pricing optimization capabilities. The benchmark covers both heating-dominant (winter) and cooling-dominant (summer) scenarios.
Results validated in industrial-grade simulation (EnergyPlus + OpenModelica) on ASHRAE Large Office standard. Individual results will vary by building type and HVAC system.