Energy Informatics (Oct 2023)

Aggregating multi-time-scale flexibility potentials of battery storages based on open data – a potential analysis

  • Michael Lechl,
  • Luis Schoppik,
  • Hermann de Meer

DOI
https://doi.org/10.1186/s42162-023-00273-4
Journal volume & issue
Vol. 6, no. S1
pp. 1 – 17

Abstract

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Abstract Flexibility potentials are mostly provided by centrally coordinated flexibility resources such as natural-gas-fired power plants. However, the decentralization of power generation combined with the decarbonization of the sector due to the energy transition requires the exploration of new types of flexibility resources. In particular, to reduce dependence on natural-gas-fired power plants, it would be desirable to replace them with alternative flexibility resources. Therefore, the objective of this paper is to analyze, using Germany as an example, to what extent the flexibility potential of already existing battery storage systems can replace the flexibility potential of natural-gas-fired power plants. The methodology used is based on a multi-time-scale flexibility model together with an approach for temporal aggregation of flexibility potentials and two approaches for spatial aggregation of flexibility potentials. Based on the methodology and an analysis of publicly available data, a comprehensive potential analysis is carried out. This analysis shows, among others, that existing battery storage systems have a promising potential to replace a considerable number of natural-gas-fired power plants in Germany in terms of their flexibility potentials.

Keywords