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

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.