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  3. Department Computer Science

Computer Science 7

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Smart Energy

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  • Smart Energy
    • Research Projects
    • Group Members
    • Publications
  • Previous 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

Smart Energy

Dr.-Ing. Peter Bazan

Head of Group Smart Energy
  • Phone number: +49 9131 85-27414
  • Email: peter.bazan@fau.de

Current Members

Jonathan Fellerer, M. Sc.
Daniel Scharrer, M. Sc.
Alexander Sommer, M. Sc.

Smart Energy

energy-efficiency

Electricity production from renewable energies is subject to strong fluctuations, especially in the case of solar and wind energy. The mismatch between supply and demand is resolved on the one hand by controlling conventional power plants, on the other hand by energy storage or by shifting peak demand on the demand side. The expansion of renewables also requires more decentralized coordinated units (e.g., in houses or communities) rather than large centralized units.

The entire system of power grid and communication network combined with storage and the continued efficient use of fossil fuels must ensure a reliable and cost-effective energy supply. We develop simulation models for the analysis, design, and control of such systems: on a smaller scale for microgrids (combined producers and consumers trying to remain self-sufficient) and on a larger scale for the main aspects of the energy system of a region or state.

Addition information

Calendar

June 2023
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Recent Posts

  • New article published in IEEE Access
  • Simulation Model for the Production and Use of Hydrogen in the European Metropolitan Region of Nuremberg
  • Job Offer: Research Assistants in the Context of the DFG Project nfdi4energy
  • DFG funds the nfdi4energy consortium, with FAU coordinating the Task Area “Simulation in Interdisciplinary Energy Research”
  • Master thesis: Ereignissimulation für Rapid Spanning Tree Protocol (RSTP)
Computer Science 7 (Computer Networks and Communication Systems)
Friedrich-Alexander-Universität Erlangen-Nürnberg

Martensstr. 3
91058 Erlangen
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