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Cloud energy storage for grid scale applications in the UK

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  • Rappaport, Ron D.
  • Miles, John

Abstract

In this paper, the UK's electricity market and battery technologies were researched to determine the economics of aggregating domestic batteries for grid-scale services. A feasibility study was conducted under three scenarios in order to estimate the value of Advanced Lead-Acid (ALA) and Lithium-Ion (LI) batteries for domestic households in the UK. A profit optimization model was built using historical market data, and technical parameters of the batteries. An aggregated system of 5000 batteries was simulated and used to compare and stack value streams of seven different grid-scale services in the UK, including energy arbitrage, reserve and frequency regulation services.

Suggested Citation

  • Rappaport, Ron D. & Miles, John, 2017. "Cloud energy storage for grid scale applications in the UK," Energy Policy, Elsevier, vol. 109(C), pages 609-622.
    • Handle: RePEc:eee:enepol:v:109:y:2017:i:c:p:609-622
    DOI: 10.1016/j.enpol.2017.07.044
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    3. Corentin Jankowiak & Aggelos Zacharopoulos & Caterina Brandoni & Patrick Keatley & Paul MacArtain & Neil Hewitt, 2019. "The Role of Domestic Integrated Battery Energy Storage Systems for Electricity Network Performance Enhancement," Energies, MDPI, vol. 12(20), pages 1-27, October.
    4. Martins, Jason & Miles, John, 2021. "A techno-economic assessment of battery business models in the UK electricity market," Energy Policy, Elsevier, vol. 148(PB).
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