Improving indoor air quality in schools using automated window ventilation
Abstract
Most German classrooms are naturally ventilated. Especially in cold season the indoor air quality is insufficient. Systems with automated window ventilation might reduce the prevalence of high carbon dioxide concentration inside the classrooms. Therefore an experimental setup is developed to find out optimum positions for air supply and exhaust openings in the facade and to develop a control algorithm for automatic control of indoor air quality considering thermal comfort requirements. A precondition for automation is a welldesigned façade with separate openings for supply and exhaust air. For automation a fuzzy control algorithm is developed which automatically adapts the opening width of the windows in dependence of the outside temperature and the indoor air quality and temperature. First tests show that fuzzy control is a suitable method for automation. Since the tests are carried out during mild outside temperatures, additional tests at cold outside temperatures are planned. They will be utilized also to further reduce the frequency of the adaptation of the window opening width and the behavior of the controller in combination with the heating system.
