Speaker Series Prof. Reinhard German
Prof. Dr.-Ing. Reinhard German studied electrical engineering and computer science at the Technical University of Braunschweig and the Technical University of Berlin. He obtained a Ph.D. in engineering and gained his postdoctoral lecturing qualification at the Computer Science Department of the Technical University of Berlin. Since 2000 he is professor at the Friedrich-Alexander-University Erlangen-Nuremberg, first as associate professor for system simulation at the Department of Computer Sciences and since 2004 as full professor for computer networks and communication systems at the Department of Computer Sciences. He was appointed Head of the Department of Computer Sciences and Dean of the Faculty of Engineering. He is Contact professor for INI.FAU, a research collaboration of Audi AG and the university, and currently manages simulation projects for energy systems at the Energy Campus in Nuremberg (EnCN).
His research interests include modeling, simulation, analysis and testing of complex networked systems and their applications in the automotive, energy, industry communication and health care sector.
Title: Simulation of networked systems and their applications in the fields of energy, mobility and health care.
In the first part of the talk we introduce the simulation module kit i7-anyEnergy for intelligent networked energy systems, which combines methods for discrete optimization (e. g. for consumer, weather and control models) and continuous System Dynamics models for e. g. energy and cost flows. Using basic components we develop house models which can be extended to entire settlements with a common a weather model and a communication network enabling an analysis of the effects of decentralized storage on energy consumption, autarchy and network. Furthermore, we simulate the entire electrical energy system of Bavaria to estimate the impacts of the turnaround in energy policy. In the second part the traffic simulator SUMO is coupled to the network simulator OMNeT++ to receive movement patterns near to reality for an improved interpretation of vehicle communication logs. In a cooperative project within the BMBF funding program Electro Mobility this model is extended for electro mobility scenarios and supplemented by models for battery and battery charging infrastructures. In the third part of the talk we introduce a simulation model to evaluate the benefits of new medical technologies and processes. In a case study we compare the contribution of specially equipped ambulances (mobile stroke units) to a reduction of the time needed until the start of treatment in a major city (Berlin) and in rural areas.