SOE

System for Optimization of In-House energy demand

Competence CenterNext Generation ServicesInformation Retrieval & Machine Learning
ContactProf. Dr. Sahin AlbayrakDr.-Ing. Andreas Rieger, Dipl.-Inf. Veit Schwartze

Partner: Dr. Riedel Automatisierungstechnik GmbH

 

The project

About one third of total energy consumption in Germany is used in private households for the provision of heat and electricity. Consequently the economic and environmental friendly usage of energy in private households needs to be seen as major issue concerning the energy and climate protection goals set by the German federation. The applied method to reduce energy consumption in the project is called home automation. This method offers the same energy saving potential as physical reconstruction while the costs are significantly lower.

The Goal

Object of the project is to recognize situations and behavior of residents based on smart meter consumption data of electricity, heat, cold and warm water. Following the collected data will be used to deduce energy efficiency potentials. The results given to the residents as recommendations will give incentives for optimization. To increase acceptance for such a system it will be provided with context adaptive user interfaces. As it is important for the residents not to have the feeling of losing control of the systems behavior, the kind of adaption will stay influenceable for them.