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Exploring the profitability of single and multi-use energy storage systems mirroring real-world conditions

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  • Rohrer, Tobias
  • Reiners, Nils
  • Hogl, Ricarda

Abstract

The economic viability of energy storage systems is crucial for encouraging their adoption within the commercial and industrial sectors. This paper examines the economic profitability of peak shaving and self-consumption optimisation, both individually and in combination through comprehensive simulations that include real load data from 50 small- and medium-sized companies in Germany. A central innovation of this research is the integration of a realistic forecasting model alongside a detailed economic model, improving the real-world applicability of the results. Our analysis of peak-shaving and self-consumption optimisation as standalone strategies indicate that while self-consumption optimisation could not be considered profitable for any of the companies analysed, peak shaving proved lucrative if the load falls into the right tariff structure based on the annual usage hours. Consistent with related research, the findings reveal that multi-use operation can increase profitability. However, the discrepancy between the profitability using ideal versus realistic forecasts is considerable. Multi-Use with perfect forecasts enhanced the median net present value by 27.59% compared to single usage, whereas using realistic forecasts resulted in a modest 4.96% increase.

Suggested Citation

  • Rohrer, Tobias & Reiners, Nils & Hogl, Ricarda, 2025. "Exploring the profitability of single and multi-use energy storage systems mirroring real-world conditions," Applied Energy, Elsevier, vol. 383(C).
  • Handle: RePEc:eee:appene:v:383:y:2025:i:c:s0306261925000832
    DOI: 10.1016/j.apenergy.2025.125353
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    References listed on IDEAS

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    1. Lombardi, P. & Schwabe, F., 2017. "Sharing economy as a new business model for energy storage systems," Applied Energy, Elsevier, vol. 188(C), pages 485-496.
    2. Wang, Yue & Das, Ridoy & Putrus, Ghanim & Kotter, Richard, 2020. "Economic evaluation of photovoltaic and energy storage technologies for future domestic energy systems – A case study of the UK," Energy, Elsevier, vol. 203(C).
    3. Kendall Mongird & Vilayanur Viswanathan & Patrick Balducci & Jan Alam & Vanshika Fotedar & Vladimir Koritarov & Boualem Hadjerioua, 2020. "An Evaluation of Energy Storage Cost and Performance Characteristics," Energies, MDPI, vol. 13(13), pages 1-53, June.
    4. Paulo Rotella Junior & Luiz Célio Souza Rocha & Sandra Naomi Morioka & Ivan Bolis & Gianfranco Chicco & Andrea Mazza & Karel Janda, 2021. "Economic Analysis of the Investments in Battery Energy Storage Systems: Review and Current Perspectives," Energies, MDPI, vol. 14(9), pages 1-29, April.
    5. Holger C. Hesse & Rodrigo Martins & Petr Musilek & Maik Naumann & Cong Nam Truong & Andreas Jossen, 2017. "Economic Optimization of Component Sizing for Residential Battery Storage Systems," Energies, MDPI, vol. 10(7), pages 1-19, June.
    6. Sean J. Taylor & Benjamin Letham, 2018. "Forecasting at Scale," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 37-45, January.
    7. Braeuer, Fritz & Rominger, Julian & McKenna, Russell & Fichtner, Wolf, 2019. "Battery storage systems: An economic model-based analysis of parallel revenue streams and general implications for industry," Applied Energy, Elsevier, vol. 239(C), pages 1424-1440.
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