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

Third Party Funds Group - Sub project

Overall project details

Overall project: Energie Campus Nürnberg 2

Project Details

Project leader:
Prof. Dr. Reinhard German

Project members:
Daniel Scharrer
Dr.-Ing. Peter Bazan

Contributing FAU Organisations:
Computer Science 7 (Computer Networks and Communication Systems)

Funding source: Bayerische Staatsministerien
Start date: 01/01/2017
End date: 31/12/2019

Research Fields

Smart Energy
Computer Science 7 (Computer Networks and Communication Systems)

Abstract (technical / expert 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.


Scharrer, D., Schmitt, B., Bazan, P., Zigan, L., Will, S., Karl, J., & German, R. (2018, March). Properties of Reversible Heat Pump ORC Energy Storage Systems for Base Load Generation. Poster presentation at IRES 2018 - 12th International Renewable Energy Storage Conference, Düsseldorf, DE.
German, R., Bazan, P., & Awad, A. (2018). Rapid Prototyping with i7-AnyEnergy and Detailed Co-Simulation with SGsim. In Proceedings of the 7th D-A-CH+ Energy Informatics Conference. Oldenburg, DE.
Staub, S., Bazan, P., Braimakis, K., Müller, D., Regensburger, C., Scharrer, D.,... Karl, J. (2018). Reversible heat pump-organic rankine cycle systems for the storage of renewable electricity. Energies, 11(6). https://dx.doi.org/10.3390/en11061352
Bazan, P., & German, R. (2017). Dynamische Simulation der Integration großer Niedertemperatur-Speicher. In Proceedings of the EnCN Sommerkonferenz. Nürnberg, DE.

Last updated on 2019-03-04 at 14:01