The core innovation of the project is an integrated approach for local optimization with comprehensive, distributed decision-making, which is developed and evaluated for the energy management of buildings and between multiple buildings. This approach will holistically include a variety of relevant factors to make renewable energy as usable as possible across locations.

To this end, a new approach for distributed decision-making is developed, which can include combined top-down, peer-to-peer and bottom-up decisions based on individual Decision Making Units (DMUs). The advantage of distributed decision-making results, in particular, from the necessary scalability and flexibility with regard to short-term fluctuations in the supply of renewable energy. By cross-sectorial decisions, the local optimization targets will by dynamically adapted for specific buildings. The DMUs can implement fully automated deterministic, probabilistic, and predictive decision algorithms.

Thereby, the best possible use of renewable energy and likewise a positive influence on the stability and utilization of the public electricity grid shall be achieved. The Bundesimmobiliengesellschaft (BIG), managing publicly owned real estate as partner incorporates the knowledge gained into projects to expand renewable energies to promote the decarbonization of the real estate sector.

**This project is partially co-funded by the KLIEN in the Energieforschung (e!MISSION) funding program, 7th call, and managed by the FFG under project-Nr. 888428.



Duration 01/01/2022 - 31/12/2024
Funding FFG

Department for Integrated Sensor Systems

Center for Distributed Systems and Sensor Networks

Principle investigator for the project (University for Continuing Education Krems) Priv.-Doz.Dipl.-Ing.Dr. Thilo Sauter





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