research |development
aiI-based regulation of the primary control loop
energy savings potential and further benefits of ai-based regulation of the primary circuit of heat generators in buildings
WICKIE M already has a well-functioning prediction for times of presence. the presence detectors within the building ensure that the system has enough data available. the neural network uses this sensor data to update itself weekly and adapt to user behavior. the topic of this work is to check whether the system can be expanded in such a way that the primary control circuit and the heating valve can also be integrated. the primary control circuit includes prediction of the heating energy requirement for controlling the In order to carry out this analysis, synthetic data was generated using a simulation model. using this data, machine learning models were created which predict the parameters required for control with sufficient accuracy. a comparison was then carried out with the previously used control system in order to determine the savings potential of energy and other advantages of an ai-based control system. as the results show, the ai-based control not only leads to energy savings of 10%, but is also that well-being within the building increased. during the creation of these three models, it was possible to determine that the daily heating times could be reduced by 75 minutes as a result of their use. It was also found that the heat losses from the brothel storage tank could be reduced by 5.8% and the energy consumption for the heat generator by 10.08%. in comparison between conventional control and the use of WICKIE M. show that the use of WICKIE M is can lead to a significant reduction in heat demand, a more targeted distribution and regulation of energy and therefore to saving resources.
