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Friedrich-Alexander-Universität Computer Science 7 CS7
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  4. 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

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

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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

Project Picture


Project Description

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 production from coal and lignite with corresponding CO2 emissions.

By using base load storage systems with low-temperature storage, the use of polluting thermal power plants should be reduced. During the day, heat from geothermal energy or industrial processes is upgraded with excess electricity from photovoltaics using heat pumps (HP) and stored in a low-temperature storage system. To generate nocturnal base load power, this heat energy is then removed from the storage via an Organic Rankine Cycle (ORC) process.

The aim of the project is the dynamic simulation of energy flows in HP-ORC heat storages that are integrated into the energy system and use excess heat and power. With the simulation models, the dimensioning and suitable operating modes for the economic operation of low-temperature storage systems should be investigated.

Project Period

    2017-01-01 – 2019-12-31

Project Leader

    Reinhard German

Project Members

    Daniel Scharrer, Peter Bazan

Sponsored by

    Bayerische Staatsministerien

Related Publications

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  • 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
  • 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., German R.:
    Dynamische Simulation der Integration großer Niedertemperatur-Speicher
    EnCN Sommerkonferenz (Nürnberg, 2017-07-13 - 2017-07-13)
    BibTeX: Download
  • Scharrer D., Eppinger B., Schmitt P., Zenk J., Bazan P., Karl J., Will S., Pruckner M., German R.:
    Life Cycle Assessment of a Reversible Heat Pump–Organic Rankine Cycle–Heat Storage System with Geothermal Heat Supply
    In: Energies 13 (2020), Article No.: 3253
    ISSN: 1996-1073
    DOI: 10.3390/en13123253
    BibTeX: Download
Computer Science 7 (Computer Networks and Communication Systems)
Friedrich-Alexander-Universität Erlangen-Nürnberg

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