Model-Based Predictive Control of Room Temperature
In today‘s buildings often only rudimentary room temperature controls are used. With such simple controllers, it can happen that heating is still running in the morning, even though the room is heated beyond the desired temperature in the afternoon due to sunny weather. By using a model-based predictive control, external weather influences can be taken into account, comfort can be increased and also the heating energy demand can be reduced. In the context of this thesis, the algorithms for the implementation
Cyrill Hächler
of such model-based predictive control were combined in a software
Advisor: Prof. Dr. Thierry Prud‘homme
framework, which also allows integration into home automation. Several of those controllers can be instantiated in the software framework, which makes it simple to control several rooms.
19/20 Yearbook ¦ Page 90