Modeling and Identification for HVAC Systems

Heating, Ventilation and Air Conditioning (HVAC) systems consist of all the equipment that control the conditions and distribution of indoor air. Indoor air must be comfortable and healthy for the occupants to maximize their productivity. Moreover, HVAC energy consumption is between 20% and 40% of the total energy consumption in developed countries and accounts around 33% of the global CO2 emissions. The aim of this project is to identify mathematical models that will be employed by intelligent control algorithms which guarantee human comfort indoors, energy saving and less CO2 emissions at the same time