Maintaining comfortable indoor conditions in summer and winter is crucial for the well-being of the people who spend time in the building. Manual window ventilation is still a crucial measure for air exchange, requires the active intervention of users. The optimal time for window ventilation with regard to suitable environmental conditions is usually determined individually and purely intuitively. Since natural ventilation is highly dependent on outdoor conditions (especially wind and temperature conditions), control algorithms must be found that adapt to changing indoor and outdoor conditions and automatically open and close windows accordingly. Boundary conditions such as moisture transport, weather conditions, noise levels, fine dust pollution or pollen flight must be taken into account.imaF is an interdisciplinary project. Acoustic and thermal building physics is combined with electrical engineering and architectural issues.
The objectives of this research project are to develop control algorithms for natural window ventilation, to implement these in the system and to improve natural ventilation by aerodynamic optimization. The acoustic properties of double-skin box-type windows should be oriented to those of a closed standard window.