This work presents modelling and fault detection in heating, ventilation and air conditioning (HVAC) systems.
Several models of the most important elements are presented. The modelled elements include: a heating element (heat exchanger), a cooling element, a recouperator, a humidifier, a room and fans. The models are used to construct an unified HVAC system model able to match the behaviour of a real system. Model parameters are determined and a sufficient fit between the model and the real device is achieved.
Several train simulation runs are generated representing system behaviour with fourteen different faults. These simulations are used to train fault detectors. Fault detection is based on dynamic principle component analysis (DPCA). Detectors are tested on test simulation runs and the results are presented. The achieved fault detection rates are satisfactory.