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Computer Science 7

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Hybrid Simulation of Smart Energy Systems

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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

Hybrid Simulation of Smart Energy Systems

Project Picture

Project Description

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 system.

The aim of the project is the development of methods and tools for the comprehensive analysis of the increasingly renewable energy-based energy industry at the level of individual houses and smart grids. As part of the project, the simulation framework i7-AnyEnergy is being developed, which enables the rapid development of hybrid simulation models of networked intelligent energy systems. For this purpose, methods such as discrete event simulation (e.g., for consumer, weather, and control models) and system dynamics models (e.g., for energy and cost flows) are combined in a simulation model. The simulation framework i7-AnyEnergy provides basic components for the energy consumption (electrical and thermal), for energy production (eg gas heating, combined heat and power with fuel cells), for renewable energy (photovoltaic), for energy storage (batteries, chemical storage such as based on LOHC), as well as for the control. These components are used to create house models that can be coupled to smart grid models with a common weather model and a communication Network.

Project Period

    2017-01-01 –

Project Leader

    Reinhard German

Project Members

    Peter Bazan

Related Publications

  • German R., Bazan P., Awad A.:
    Rapid Prototyping with i7-AnyEnergy and Detailed Co-Simulation with SGsim
    7th D-A-CH+ Energy Informatics Conference (Oldenburg, 2018-10-11 - 2018-10-12)
    BibTeX: Download
  • Bazan P.:
    Hybrid Simulation of Smart Energy Systems (Dissertation, 2017)
    BibTeX: Download
  • Bazan P., German R.:
    Dynamische Simulation der Integration großer Niedertemperatur-Speicher
    EnCN Sommerkonferenz (Nürnberg, 2017-07-13 - 2017-07-13)
    BibTeX: Download
  • Staub S., Bazan P., Braimakis K., Müller D., Regensburger C., Scharrer D., Schmitt B., Steger D., German R., Karellas S., Pruckner M., Schlücker E., Will S., Karl J.:
    Reversible heat pump-organic rankine cycle systems for the storage of renewable electricity
    In: Energies 11 (2018), Article No.: en11061352
    ISSN: 1996-1073
    DOI: 10.3390/en11061352
    BibTeX: Download
  • Scharrer D., Schmitt B., Bazan P., Zigan L., Will S., Karl J., German R.:
    Properties of Reversible Heat Pump ORC Energy Storage Systems for Base Load Generation
    IRES 2018 - 12th International Renewable Energy Storage Conference (Düsseldorf, 2018-03-13 - 2018-03-15)
    BibTeX: Download
  • Steber D., Pruckner M., Schlund J., Bazan P., German R.:
    Including a virtual battery storage into thermal unit commitment
    In: Computer Science - Research and Development (2017), p. 1-7
    ISSN: 1865-2034
    DOI: 10.1007/s00450-017-0362-7
    BibTeX: Download
  • Schlund J., Steber D., Bazan P., German R.:
    Increasing the Efficiency of a Virtual Battery Storage Providing Frequency Containment Reserve Power by Applying a Clustering Algorithm
    7th Innovative Smart Grid Technologies (ISGT Asia 2017) (Auckland, 2017-12-04 - 2017-12-07)
    In: Proceedings of the 7th Innovative Smart Grid Technologies Asia 2017
    DOI: 10.1109/ISGT-Asia.2017.8378430
    BibTeX: Download
  • Steber D., Pruckner M., Bazan P., German R.:
    SWARM - Providing 1 MW PCR Power with Residential PV-Battery Energy Storage - Simulation and Empiric Validation
    IEEE PowerTech 2017 (Manchester)
    BibTeX: Download
  • Awad A., Bazan P., German R.:
    A House Appliances-Level Co-simulation Framework for Smart Grid Applications
    In: Antonio Puliafito, Kishor S. Trivedi (ed.): Systems Modeling: Methodologies and Tools, Cham: Springer, 2019, p. 303-317 (EAI/Springer Innovations in Communication and Computing)
    DOI: 10.1007/978-3-319-92378-9_19
    BibTeX: Download
Computer Science 7 (Computer Networks and Communication Systems)
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