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.
Details
| Duration | 01/01/2022 - 31/12/2024 |
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| Funding | FFG |
| Program |
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| Department | |
| Principle investigator for the project (University for Continuing Education Krems) | Priv.-Doz.Dipl.-Ing.Dr. Thilo Sauter |
Publications
Hosseini, A. M.; Kastner, W.; Sauter, T. (2025). Ontology Framework Supporting Security-By-Design of Industrial Control Systems. IEEE Transactions on Industrial Informatics, Vol. 21, iss. 9: 7188 - 7197
Kammerhofer, M.; Schwendinger, B.; Hoch, R.; Sallinger, C.; Kaindl, H. (2025). Towards Experiments for Comparing Anytime Algorithms to Optimize Assignments of Electric Vehicles To Charging Stations. Procedia Computer Science, Science Direct, Vol. 263: 874-883
Arthofer, S.; Wilker, S.; Sauter, T. (2025). Analysis and Conceptual Framework for Monitoring Power Quality in Electrical Distribution Grids. In: IEEE, proceedings in 2025 IEEE 19th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG): 1-6, IEEE, Türkei
Bauer, P.; Reina i Carbonell, J.; Wilker, S.; Sauter, T. (2025). A SUMO-Simulated Reinforcement Learning Framework for Bidirectional Charging of Electric Vehicles. In: IEEE, proceedings in 2025 IEEE International Conference on Industrial Technology (ICIT): 1-7, IEEE, China
Forkaliuk, M.; Franzl, G.; Treytl, A. (2025). Simulating the Contribution of Smart EV Charging and PV Curtailment to Grid Congestion Mitigation. In: ICAE, Proceedings in 17th International Conference on Applied Energy (ICAE2025): https://doi.org/10., ICAE, Bangkok
Haug, M.; Stippel, C.; Pscherer, L.; Schwendinger, B.; Hoch, R.; Gaydarov, A.; Schlund, S.; Sauter, T. (2025). Vision-Based Human Awareness Estimation for Enhanced Safety and Efficiency of AMRs in Industrial Warehouses. In: IEEE, proceedings in 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA): 1-4, IEEE, Portugal
Herold, B.; Bauer, P.; Buchmeier, J.; Wilker, S.; Sauter, T. (2025). The Building as Energy Storage: Sector Coupling for Peak Shaving in Active Energy Communities. In: IEEE, proceedings in 2025 IEEE Kiel PowerTech: 1-7, IEEE, Kiel, D
Hosseini, A. M.; Sauter, T.; Kastner, W. (2025). Trustworthy AI for Security Decision-Making in ICSs: Towards Compliance with the EU AI Act. In: IEEE, proceedings in 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA): 1-4, IEEE, Portugal
Quakernack, L.; Engelmann, T.; Haubrock, J.; Ye, W.; Zhang, P.; Röhrenbeck, S.; Reisonger, T.; Leopold, T.; Herold, B.; Wilker, S.; Sauter, T.; Kelker, M.; Breuersbrock, J.; Dünser, M.; Übermasser, S. (2025). Autonomous AI for cellular energy systems increasing flexibilities provided by sector coupling and distributed storage. In: IEEE, proceedings in 2025 IEEE Kiel PowerTech: 1-6, IEEE, Kiel, D
Wilker, S.; Sauter, T.; Sengl, D.; Lukasser, G.; Weitlaner, R. (2025). PV-Integrated Smart Shading Systems – Addressing the Conflict Between Efficiency and User Comfort. In: IEEE, proceedings in 2025 17th International Conference on Human System Interaction (HSI): 1-6, IEEE, Korea
Franzl, G.; Wilker, S.; Sauter, T. (2024). Multi-Level Traffic Light Signals Integrating Energy Market and Grid Needs. In: IEEE, proceedings in 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE): 1-5, IEEE, Grenoble (F)
Franzl, G.; Wilker, S.; Sauter, T. (2023). Multi-Level Traffic Light Signals Integrating Energy Market and Grid Needs. In: IEEE, proceedings in 2023 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe): 1-5, IEEE, Grenoble
Stippel, C.; Schwendinger, B.; Kammerhofer, M.; Hoch, R.; Kaindl, H.; Sauter, T. (2023). Towards Optimized Schedules for Charging Electric Vehicles on Austrian Highways using Genetic Algorithms. In: Association for Computing Machinery New York, NY, United States, proceedings in GECCO 2023 Companion: Companion Conference on Genetic and Evolutionary Computation: 2519, Association for Computing Machinery New York, NY, United States, Costa Rica
Lectures
Safety and Security in Industrial Automation – the Need for a Holistic View
MARC Seminars, 06/11/2025
PV-Integrated Smart Shading Systems – Addressing the Conflict Between Efficiency and User Comfort
HSI 2025, 18/07/2025
Analysis and Conceptual Framework for Monitoring Power Quality in Electrical Distribution Grids
CPEPOWERENG 2025, 20/05/2025
Multi-Level Traffic Light Signals Integrating Energy Market and Grid Needs
2023 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 25/10/2023
Team
Projektpartner
