Name of the Beneficiary: Consortium formed by Bauszer Kft. – Eiron Kft
Name of the Consortium Leader: Bauszer Kft.
Project Title: Hybrid AI-Based Building Energy Diagnostics
Total Amount of Contracted Funding: 266.067.371 Ft
Of which, Funding Awarded to Bauszer Kft.: 139.017.371 Ft
Funding Rate: 65.14%
Detailed Description of the Project:
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 R&D 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). The research focuses on a hybrid AI estimation model that combines physical heat transfer equations with deep learning and uncertainty estimation algorithms (e.g., neural networks, gradient boosting), enabling reliable U-value computation even from images captured under varying environmental conditions. The project will result in a market-ready, field-validated solution that provides cost-efficient energy diagnostics. The project result: the development of a system that includes the measurement application, cloud processing infrastructure and report generation.
Planned Project Completion Date: 31 December 2028
Project Identification Number: 2025-EM-1.1.1-EKFI-2025-00013