Natural nighttime ventilation and daylight-optimized shadowing are high potential approaches to efficiently and economical cool buildings. Nevertheless, the full potential cannot be acquired, since, if at all, such behavior is manually initiated by users. Goal of this project is the development of an automated, self-learning system that can assess the full cooling capabilities and establish an alternative to conventional air conditioning systems.

CoolAir

Prozessgrafik Coolair

Details

Duration 01/01/2018 - 31/12/2021
Funding FFG
Program Stadt der Zukunft
Department

Department for Bulding and Environment

Center for Climate Engineering

Principle investigator for the project (Danube University Krems) Ass. Prof. Dipl.-Ing. Dr. Daniela Trauninger
Project members Dipl.-Ing. Dr. Aleksey Bratukhin Ing. Thomas Posnicek Dipl.-Ing. Wolfgang Stumpf Dipl.-Ing. Albert Treytl Dipl.-Ing. Markus Winkler
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