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Battery Energy Storage Systems in the United Kingdom: A Review of Current State-of-the-Art and Future Applications

Author

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  • Ioannis Mexis

    (College of Engineering, Swansea University, Swansea SA1 1EP, UK
    These authors contributed equally to this work.)

  • Grazia Todeschini

    (College of Engineering, Swansea University, Swansea SA1 1EP, UK
    These authors contributed equally to this work.)

Abstract

The number of battery energy storage systems (BESSs) installed in the United Kingdom and worldwide is growing rapidly due to a variety of factors, including technological improvements, reduced costs and the ability to provide various ancillary services. The aim of this paper is to carry out a comprehensive literature review on this technology, its applications in power systems and to identify potential future developments. At first, the main BESSs projects in the UK are presented and classified. The parameters provided for each project include rated power, battery technology and ancillary services provided, if any. In the next section, the most commonly deployed ancillary services are classified and described. At the same time, the nomenclature found in the literature is explained and harmonised. The second part of the paper focuses on future developments and research gaps: ancillary services that currently are not common but that are likely to be deployed more widely in the future will be described, and more general research topics related to the development of BESSs for power system applications will be outlined.

Suggested Citation

  • Ioannis Mexis & Grazia Todeschini, 2020. "Battery Energy Storage Systems in the United Kingdom: A Review of Current State-of-the-Art and Future Applications," Energies, MDPI, vol. 13(14), pages 1-31, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3616-:d:384201
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    References listed on IDEAS

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    4. Camilo Andres Mora & Oscar Danilo Montoya & Edwin Rivas Trujillo, 2020. "Mixed-Integer Programming Model for Transmission Network Expansion Planning with Battery Energy Storage Systems (BESS)," Energies, MDPI, vol. 13(17), pages 1-22, August.
    5. Tovar Rosas, Mario A. & Pérez, Miguel Robles & Martínez Pérez, E. Rafael, 2022. "Itineraries for charging and discharging a BESS using energy predictions based on a CNN-LSTM neural network model in BCS, Mexico," Renewable Energy, Elsevier, vol. 188(C), pages 1141-1165.
    6. Alba Leduchowicz-Municio & Miguel Edgar Morales Udaeta & André Luiz Veiga Gimenes & Tuo Ji & Victor Baiochi Riboldi, 2022. "Socio-Environmental Evaluation of MV Commercial Time-Shift Application Based on Battery Energy Storage Systems," Energies, MDPI, vol. 15(14), pages 1-21, July.
    7. Ayotunde A. Adeyemo & Elisabetta Tedeschi, 2023. "Technology Suitability Assessment of Battery Energy Storage System for High-Energy Applications on Offshore Oil and Gas Platforms," Energies, MDPI, vol. 16(18), pages 1-38, September.
    8. Ouafa Laribi & Krzysztof Rudion, 2021. "Optimized Planning of Distribution Grids Considering Grid Expansion, Battery Systems and Dynamic Curtailment," Energies, MDPI, vol. 14(17), pages 1-27, August.
    9. Eugenio Borghini & Cinzia Giannetti & James Flynn & Grazia Todeschini, 2021. "Data-Driven Energy Storage Scheduling to Minimise Peak Demand on Distribution Systems with PV Generation," Energies, MDPI, vol. 14(12), pages 1-22, June.

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