Grant ProjectBauszer Kft. – Hybrid AI-Based Building Energy Diagnostics
- 2026-11-11
The project aims to develop an artificial intelligence–based technology that enables fast (within 3–4 hours), accurate, and season-independent assessment of the thermal properties of residential, public, and industrial buildings.
In current practice, the determination of the U-value (thermal transmittance) is only reliable under early-morning winter conditions, as it requires at least a 15 °C indoor–outdoor temperature difference and calm weather. The RandD is based on the Quantitative Infrared Thermography (QIRT) method, which estimates the thermal transmittance of building structures from thermal images, but its current accuracy is limited to ±30–60%. The project aims to enhance this through a comprehensive data acquisition and processing protocol integrating environmental parameters (indoor/outdoor temperature, wind speed, solar radiation, humidity) and reference measurements (HFM) [...]
