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M. Killian, M. Kozek, A. Leitner, R. Goldgruber:
"IntelliEE-Home: Intelligent energy-efficient home automation system";
Talk: e-nova 2016 Internationaler Kongress: Nachhaltige Technologien: Gebäude - Energie - Umwelt, Pinkafeld; 2015-11-26 - 2015-11-27; in: "Nachhaltige Gebäude: Versorgung - Speicherung - Optimierung", Science.Research.Pannonia, 12 (2016), ISBN: 978-37011-0372-0; 237 - 243.

Energy efficient climate control is an important current task, hence there has been a growing rethinking in energy savings. The building sector accounts for about 40 % of the total energy consumption. In order to guarantee user comfort while minimizing energy consumption in residential buildings an intelligent automation system has to be implemented. Such controversial optimization problems, as minimizing energy cost while maximizing user comfort, are suitable for model predictive control (MPC). Furthermore, occupancy and external disturbances in buildings as weather (ambient temperature and radiance) can be explicitly handled by MPCs.

Structural modifications are not needed to reduce energy consumption and CO2-emission for heating and cooling in existing and new buildings, with an intelligent energy-efficient home automation system (energy reduction up to 40 %). In this work an intelligent MPC for home automation is introduced. To get the highest possible performance with the least effort, beside the MPC concept, a self-adaptive model for buildings and user-behaviour is proposed. This self-adaptive model is able to correct model-errors because of adapting the user-behaviour. Moreover the model is able to manage a new parametrization during on-line operation. Furthermore another key-aspect is the choice of a suitable data mining and processing algorithm.
By reason of adaptive MPC the thermal comfort in the building increases while energy consumption is reduced effectively. Furthermore a flexible use of green energy is easy realisable. The easiest way to profit from green energy is the intelligent control of the blinds. Because of the smart usability with smart phones or tablets, the system is easy and clear to handle and the concept is user-friendly as well. Moreover, the opportunity for smart grids is given.
For the industrial partner evon automation GmbH a unique selling point in the building sector and home automation area is created, because of the combination: MPC with a self-adaptive model. On account of cost-efficient implementing the number of possible users is given, both new buildings and retrofitting in existing buildings. Because of the multiplier effect the potential for CO2 reduction in the building sector is realizable.