Simulation of a Multilevel Storage Model for a Renewable German Electricity System

DOI

10.2991/ahe.k.210202.035How to use a DOI?

Keywords

Storage Model, Germany, 100% Renewable Energy, Optimization, Storage composition

Abstract

This study analyses energy storage requirements on the basis of a completely renewable energy supply in Germany, taking into account several storage classes. Real hourly data of the provided electrical energy and the existing installed generation capacities for wind power and solar power from 2012 to 2018 serve as a basis. It is shown that low-wind years like 2014 strongly influence the requirements for a storage system. As the wind and solar power plants available in the period under consideration only partially cover the electricity demand, a scaling of the existing capacities is carried out, simulating a sufficiently large supply of electrical energy. The calculation model introduces five different storage classes, which differ in terms of their capacities and efficiency factors and thus represent different energy storage technologies. The calculation results show the required storage capacity for a demand-oriented renewable power generation. Furthermore, it is shown that the storage capacity can be reduced by excess capacities of renewable sources. At this point, the influences from the respective efficiencies of different storage technologies and the effects from the limitation of the charging power, which exceeds the grid capacity due to the high peak power, are shown. Furthermore, investigations are carried out with regard to the complete storage cycles of the different storage classes which are relevant for the economic efficiency of the storage facilities. Further suggestions for reducing the required storage capacities are discussed, which form the basis for further investigations.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nico Wehrle
AU  - Eduard Heindl
PY  - 2021
DA  - 2021/02/04
TI  - Simulation of a Multilevel Storage Model for a Renewable German Electricity System
BT  - Proceedings of the 14th International Renewable Energy Storage Conference 2020 (IRES 2020)
PB  - Atlantis Press
SP  - 239
EP  - 246
SN  - 2589-4943
UR  - https://doi.org/10.2991/ahe.k.210202.035
DO  - 10.2991/ahe.k.210202.035
ID  - Wehrle2021
ER  -