CO2 model

Data driven models for fault detection - Combining thermal and indoor air quality grey box models

Submitted by on Tue, 03/05/2024 - 14:38

The progressive digitalization is providing more and more measurement data from building operation, in particular from heating, cooling and ventilation (HVAC) systems. This work investigates the potential use of data-driven models to simulate indoor environmental conditions, i.e. temperature and CO2 concentration, for fault detection applications.