In the course of the energy transition, the formerly centralized energy distribution system turns into a decentralized, complex and highly dynamic system with extensive information exchange. This change necessitates the development of an ICT infrastructure that enables optimized operation of the future distribution grid.
Development and integration of appropriate ICT systems as well as future energy resources are guided by a multi-stage process. First conceptual designs of novel technologies are tested via analytical approaches while comprehensive field tests mark the end of the development process. For the intermediate stages, methods are required that are more affordable and flexible than field tests but at the same time more properly suited to handle the system complexity than analytical approaches. Therefore, the research group “Multi-domain simulation and technology assessment” (SIM) specializes in simulation-based system analysis for development and validation of novel components and architectures of the distribution grid. A modular co-simulation approach is employed that allows combination of models representing various aspects of the energy system via the simulation framework “mosaik”. Mosaik enables the integration of independently developed simulation models without discrimination based on their domain or formal description. Common simulation scenarios provide dynamic data exchange between these models. This way, the approach acts as a collaboration platform for experts of various subdomains of the future energy system like power engineering, ICT, economy or meteorology.
Digitization increasingly influences and changes all sectors of the energy domain, including market roles and market players. Shorter innovation cycles require that trends in ICT are identified early on in order to analyze and understand their possible implication for business models, processes and infrastructures.
The research group “Multi-Domain Simulation and Technology Assessment” therefore analyzes current and upcoming topics from the field of ICT regarding their relevance and applicability in the energy domain. We prepare hype topics in a clear and intelligible way, discuss technological, economical and ecological risks and create solid decision bases. Comprehensive studies on the state of the art, implementation of prototypes or in-depth workshops support companies and start-ups regarding the planning and implementation of digitization strategies.
Our current topics:
Ressourceneffiziente und optimierte Plattform für EE-Integration und Smart Market-Aufgaben unter Nutzung eines zustandsbasierten Last-, Erzeugungs- und Informationsmanagements (sorry - only available in german)Duration: 2014 - 2017
Grahn, Pontus and Briggner, Viktor and Johansson, Linus and Babazadeh, Davood and Nordström, Lars; IEEE International Conference on Innovative Smart Grid Technologies, (ISGT Europe 2017); 2017
Babazadeh, Davood and Nordström, Lars and Wu, Yiming and Hohn, Fabian; IEEE PES PowerTech Conference; 2017
Norman Ihle and Axel Hahn; International Data Science Conference IDSC; 06 / 2017
Cornelius Steinbrink, Arjen A. van der Meer, Milos Cvetkovic, Davood Babazadeh, Sebastian Rohjans, Peter Palensky, Sebastian Lehnhoff; 6th D-A-CH+ Conference on Energy Informatics; Oktober / 2017
Armendariz, Mikel and Babazadeh, Davood and Broden, Daniel and Nordström, Lars; IET Generation, Transmission and Distribution; 2017
Jan Sören Schwarz, Tobias Witt, Astrid Nieße, Jutta Geldermann, Sebastian Lehnhoff, Michael Sonnenschein; Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems; April / 2017
Armendariz, Mikel and Babazadeh, Davood and Nordström, Lars and Barchiesi, Michele; Power System Computational Conference ; 2016
Khan, Muhammad Talal and Habib, Md Zakaria and Karlsson, Elin and Babazadeh, Davood and Nordström, Lars; Workshop on Modeling and Simulation of Cyber-Physical Energy Systems; 2016
Cornelius Steinbrink, Sebastian Lehnhoff, Thole Klingenberg; Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems; 4 / 2016