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  2. Faculty of Engineering
  3. Department Computer Science

Computer Science 7

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Research Projects

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  • Concluded Projects
    • ACOOWEE – Activity Oriented Programming of Wireless Sensor Networks
    • ALF: Autonomous Localization Framework
    • Analysis Methods for Non-Markovian Models
    • A⁵: Development Method for Driver Assistance Systems based on a Domain-Specific Language
    • BioNeting – Bio-inspired Networking
    • CoCar – Cooperative Cars
    • Concurrency in timed usage models for system testing in the automotive domain
    • Data Quality and the Control of Automotive Manufacturing
    • Decentralized organization of future energy systems based on the combination of blockchains and the cellular concept
    • Dienstgütegarantien für Ethernet in der industriellen Kommunikation
    • e-NUE: Co-Simulation of Electrified and Connected Vehicles
    • Energy System Analysis
    • Formal verification and validation of test methods for complex vehicle safety systems in virtual environments
    • GeTTeMo – Systematische Generierung von Testszenarien aus benutzungsorientierten Testmodellen
    • HISTORY – HIgh Speed neTwork mOnitoRing and analYsis
    • Hybrid Simulation of Intelligent Energy Systems
    • Integrated Modeling Platforms for Computer Infrastructures
    • MaTeLo (Markov Test Logic)
    • Mo.S.I.S. (Modular Software Engineering for Interoperative Systems)
    • Model support in design, test, and monitoring of image system architectures
    • Modeling of External and Internal Impact Factors on the Performance of Wireless Local Area Networks
    • monk-it – Efficient distributed monitoring, attack detection, and event correlation
    • p2p4wsn – Efficient Data Management in Mobile Sensor Networks using Peer-to-Peer Technologies
    • Pal-Grid: A Comprehensive Simulation Framework for the Palestinian Power Grid
    • Privacy in Vehicular Networks
    • ProHTA: Prospective Assessment of Healthcare Technologies
    • Q.E.D. (QoS Enhanced Development Using UML2.0 and TTCN-3)
    • Quality of Service of Networked Embedded Systems
    • Requirements oriented testing with Markov chain usage models in the automotive domain
    • ROSES – Robot Assisted Sensor Networks
    • Secure intelligent Mobility – Testarea Germany
    • Security and Quality of Service and Aspects in ZigBee-based Wireless Communication
    • Self-organization of SN-MRS systems
    • Sensitivity Analysis of Queueing Networks
    • SkyNet – Communicating Paragliders
    • Smart Grid Services
    • Smart Grid Solar
    • Software-in-the-Loop Simulation and Testing of Highly Dependable Distributed Automotive Applications
    • Support for inter-domain routing and data replication in virtual coordinate based networks
    • SWARM (Storage With Amply Redundant Megawatt)
    • Telematics Services in Hybrid Networks
    • Transmission of Safety-Relevant Sensor Data in Intra-Car Communication Systems
    • Veins 1.0 – Vehicles in Network Simulation
    • Web Cluster Laboratory
    • WinPEPSY-QNS – Performance Evaluation and Prediction System for Queueing Networks

Research Projects

Smart Energy

Research Projects

MACS: Modeling and Analysis of Complex Systems

Today's computer technology supports researchers and scientists in developing their complex ideas and innovative technologies. The use of such new ideas and technologies in an increasingly complex overall technical and ecological system will be examined in this project. These can be production systems, transport systems, computer networks, smart grids, or even a combination of such systems.

The modeling and analysis of such complex systems is supported by powerful data structures and algorithms,…

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SWARM: Koordinierte Kleinspeicher im Verteilnetz der N-ERGIE Aktiengesellschaft (SWARM)

Im Rahmen des Kooperationsprojektes SWARM der N-ERGIE AG und dem Energie Campus Nürnberg (EnCN) beschäftigt sich unter anderem der Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme) mit den Fragestellungen, unter welchen Bedingungen Privathaushalte in innovative Stromspeicher investieren, wie sich diese Speicher auf die Stabilität des Stromnetzes auswirken und welchen ökonomischen Nutzen sie aus Sicht des Netzbetreibers bzw. der Privathaushalte schaffen.

Übergeordnetes Ziel …

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Dynamic Simulation of Energy Flows and Storage of Waste Heat from Data Centers and of the Integration of Large Storage Systems in Local Heating Networks

The share of electricity from photovoltaics in the electricity mix in Germany has been greatly expanded in recent years. In the near future, electricity generation from renewable energies and thus also solar generated electricity will continue to increase. At high solar radiation, this already leads to a local oversupply in the power grid, while the photovoltaic at night naturally can not contribute to the power supply. Ensuring the nightly base load at night is therefore largely ensured by fossil…

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Hybrid Simulation of Intelligent Energy Systems

Development of the simulation framework i7-AnyEnergy for networked smart energy systems. For this framework methods such as discrete event simulation (e.g. for demand, weather and control models) and System Dynamics models (e.g. for energy and cost flows) are combined in one simulation model. It provides pre-built components from which more complex energy system models can be constructed in a flexible way. From the basic components for the energy demand (electrical and thermal), for energy conversion…

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Hybrid Simulation of Smart Energy Systems

The expansion of renewable energy sources and the growing share of decentralized and highly fluctuating energy producers pose complex challenges for modern energy systems. Storage systems such as CHP systems with heat storage, pure electricity storage, or other technologies also play a decisive role. Furthermore, communication between producers, consumers, and storage as well as the intelligent control of electricity producers and consumers is crucial for the stability and efficiency of the energy…

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Multi Battery Systems (MBS): Multi Battery Systems - Hybrid and New Storage Simulation Tool

With the expansion of highly fluctuating renewables, the introduction of electric vehicles or securing the sufficient energy coverage of portable electronic devices electrochemical battery systems of each kind and dimensioning gain greater significance in various fields of everyday life. To assure cost- and time-efficient analysis for system design and project planning the usage of powerful models simulating the behavior of these battery systems is inevitable. In the project “Multi Battery Systems –…

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KOSiNeK: Combined Optimization, Simulation and Grid Analysis of the German Electrical Power System in an European Context

Germany decided to reorganize its energy supply system in a sustainable way by initiating the energy transition (Energiewende). One of its main targets is to be one of the most environmentally friendly and energy-conserving economies worldwide with competitive energy prices at the same time. This requires the support of all-embarrassing analytical systems, which take into account the technical, market and regulatory framework at once. Existing energy system analysis models often neglect or simplify…

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PALGER: Pal-Grid: A Comprehensive Simulation Framework for the Palestinian Power Grid

The aim of this project is to develop a comprehensive simulation framework for the Palestinian electric power network system with a focus on a specific area. The simulation framework should be able to capture the different aspects of the future energy supply.

The project will provide two levels of abstraction. The first simulation level will be very abstract and it helps the authorities, and especially the energy regulatory authority to take decisions to boost the penetration of renewable…

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Control of energy systems based on self-learning algorithms

The worldwide expansion of decentralized generation units, such as photovoltaic systems and wind power plants, means that the generation of electrical energy depends on the fluctuating supply of renewable energy sources. In the project "Control of energy systems based on self-learning algorithms", new self-learning control algorithms for energy systems are investigated and compared with classical control algorithms. Models written in Python will make it possible to create several self-learning agents…

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Communication in energy information networks

The electrical energy network is in a state of change due to the digitization and integration of decentralized energy sources. Pervasive and interconnected sensors and actuators are creating complex virtual control systems.
Based on an efficient communication network, innovative services and applications can provide an ecological, economical, stable and high-quality energy supply. A particular challenge are the diverse requirements and traffic patterns of applications that may be distributed…

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dOzEn: Decentralized organization of future energy systems based on the combination of blockchains and the cellular concept

The goal of the project is to develop an energy IT system in a decentralized and locally autonomous manner, which is able to integrate a scalable number of actors. By means of decentralization of system responsibility a stable energy system shall be empowered based on renewable energies and storages. 

The solution approach is based on the combination of blockchain technology and the cellular concept. The smart IT infrastructure can be used to stabilize the electricity system on all levels …

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ASEV: Decentralized Provision of Ancillary Services with Electric Vehicles

As part ofthe Energy Transition, conventional power plants, which are currentlyresponsible for the stability of the electricity grid, are increasingly beingtaken off the grid. New concepts are necessary to ensure system stability in thefuture. Therefore, a model is developed to describe the flexibility of chargingprocesses of electric vehicles. Simulations are performed to investigate thecapability, reliability, limits and costs of ancillary services with electricvehicles such as reserve power…

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ESM-Regio: Multi-sector coupled energy system modeling on a regional level

Reducing primary energy use and greenhouse gases are central goals of the energy transition. However, switching from fossil to regenerative energy sources is not enough to achieve them. An overarching view and optimization of the different sectors of the energy system - electricity, gas, heat and transport - can significantly advance the further development of the energy system in Germany. Potential exists above all on a regional level.

The goal of the ESM-Regio project - short for "Multisectoral…

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Computer Science 7 (Computer Networks and Communication Systems)
Friedrich-Alexander-Universität Erlangen-Nürnberg

Martensstr. 3
91058 Erlangen
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