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Institute of Computer Technology – TU Wien
The real CO2 complex of global challenges, the increasing energy demand, and the increasing use of information technology (IT), lead to a fundamental change in energy systems towards interoperable, smart solutions based on scientific achievements. The Energy&IT Group is a research group at the Institute of Computer Technology at the TU Wien. We work in research projects directly at the intersection of the two relevant domains in the emerging energy system, on the one hand power engineering and on the other hand information and communication technology (ICT), whereby we repeatedly develop the infrastructure in both areas in projects, but are also accustomed to taking over organizational tasks.
Through more than 40 successfully completed projects, we have gained experience in all areas of smart grid applications, smart grid operation, e-mobility, building to grid, demand side management, and many more, but also more “abstract” topics of energy informatics such as smart gird architectures, participation in the European Technology & Innovation Platforms Working Group on Digitization of the Electricity System and Customer Participation (ETIP-SNET WG4) and security and privacy in future, smart energy systems. Competencies of specific technologies are covered in our team, ranging from chip development, FPGAs, sensors, decentralized control and regulation, (multi-)agent systems to data collection and evaluation, machine learning, big data, visualization, services and energy services, to Internet of Things, Industry 4.0, resilience, general Artificial Intelligence, and global technologies such as blockchain and scattered control mechanisms of distributed energy resources.
Service Optimization of Novel Distributed Energy Regions
Local and regional energy systems are expected to become important partners for distribution system operators, and significant contributors to energy system stability. There are no control strategies for communities to manage …
Concepts, Planning, Demonstration and Replication of Local User-friendly Energy Communities
Local Energy Communities (LECs) will be an important element of the future energy system. These community-led cooperatives cooperate in the production, distribution, storage and supply of energy at local level with the aim to …
Community Flexibility in Regional Local Energy Systems
The structural change from hierarchical energy supply networks with centrally controlled (bulk)-generation to an interaction of steadily growing, decentralized, volatile renewable energies requires novel control concepts. The purpose …
Localization by directional antennas in industrial Internet of Things
One of the benefits expected by digitalization of production environments is a tremendous increase in flexibility. The vision is a volatile Industrial Internet of Things requiring only marginal engineering and installation effort. Localization …
Self-monitoring based process Adaptation for quality assurance in heterogeneous VErsatile manufacturing
In the context of Industry 4.0, constantly evolving production systems generate the need for a highly adaptive and autonomous automation system with lean maintenance, minimum downtime, maximum reliability, and resilience. Due …
Forschen, entdecken, Zukunft schnuppern.
BIFROST am Wiener Forschungsfest Von 9. bis 11. September zieht das Wiener Forschungsfest ins Rathaus ein! Mitten in der Wiener City zeigt die Wirtschaftsagentur Wien gemeinsam mit Unternehmen, Unis und Fachhochschulen Forschung aus Wien zum Angreifen.Mehr als...
BIFROST bei der Langen Nacht der Forschung
Die Lange Nacht der Forschung öffnete vergangenen Freitag, 20.05., das erste Mal ihre Pforten im TU Wien Science Center. Von 17 bis 21 Uhr konnten Interessierte einen Blick "hinter die Kulissen" von Technik und Forschung werfen. Das Jahr 2022 stand unter dem Motto...
Faculty price for master thesis
The ICT would like to congratulate Dipl.-Ing. Matthias Bittner for receiving the faculty award of the Faculty of Electrical Engineering and Information Technology for the presentation of his master thesis Pattern Recognition in a heterogeneous Smart Grid environment...