Development of intelligent algorithms for indoor air quality control through natural ventilation strategies.

Simulations have been performed to investigate the performance of intelligent algorithms for control of indoor air quality through natural ventilation strategies whilst simultaneously meeting the requirements of thermal and visual comfort. The proposed control algorithms are founded on the knowledge base of the building physics and support the control of natural ventilation through control of the window opening, whilst simultaneously controlling the lighting, heating and cooling systems of the building. The concentration level of CO2 is taken as the indicator of indoor air quality, whilst predicted mean vote, interior illuminance levels and the daylight glare index have been adopted as the high level controlled parameters for thermal and visual comfort respectively. The impact of the controller on the overall indoor environment has been investigated.