Heating ventilation and air conditioning (HVAC) systems are designed to maintain the indoor climate in the
desired temperature, humidity, and pressure level for industrial and commercial buildings. Particularly, this
master thesis deals with the modelling and control of a multi-zone HVAC system applied in an unmanned
offshore platform.

In this scientific work, a pre-investigated single-zone model of a HVAC-system is further developed to a multizone
model, taking into account the humidity, temperature and the pressurization in each zone. In addition, the
interaction between the zones in terms of heat transfer through the walls is considered in this model.

Furthermore, the cooling coil, heating coil and humidifier are included in the overall model.
In addition to the above, a set of PI controllers are designed to control the coils, humidifier, the fan, the inlet
dampers into the zones and the variable heaters in the zones. Moreover, a Model Predictive Controller (MPC)
is designed and compared with the PI controllers after a door opening disturbance is applied.

Finally, PI controllers are implemented to a small ventilation setup in NI LabView, in order to observe and
examine their performance. The MPC was not implemented due to a restricted license of the software interface.