myEnspect

Heating, ventilation, and air-conditioning (HVAC) systems contribute significantly to the energy consumption of buildings and, above 12 kW capacity, are subject to recurring energy inspections. 

At the same time, specialist capacity is scarce, and the current, often analog approach is time- and resource-intensive.

Our contribution focuses on the scientific and technical validation and acceleration of the assessment methodology: We validate coupled thermal flow simulations with OpenLB in a defined model room, with the energy consumption of an HVAC system serving as the central target metric.
After successful validation, we systematically generate simulation data with OpenLB across relevant operating and boundary conditions.
These datasets are used to train AI-based surrogate models that enable reliable predictions of energy demand and the effects of operating and design parameters.
In this way, we lay the foundation for fast, well-founded analyses and optimization recommendations without having to perform elaborate full simulations for every question.