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Sizing and Allocation of Battery Energy Storage Systems in Åland Islands for Large-Scale Integration of Renewables and Electric Ferry Charging Stations

Author

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  • Jagdesh Kumar

    (School of Technology and Innovations, University of Vaasa, 65200 Vaasa, Finland)

  • Chethan Parthasarathy

    (School of Technology and Innovations, University of Vaasa, 65200 Vaasa, Finland)

  • Mikko Västi

    (Vaasan ammattikorkeakoulu, School of Technology, Electrical Engineering, University of Applied Sciences, 65200 Vaasa, Finland)

  • Hannu Laaksonen

    (School of Technology and Innovations, University of Vaasa, 65200 Vaasa, Finland)

  • Miadreza Shafie-Khah

    (School of Technology and Innovations, University of Vaasa, 65200 Vaasa, Finland)

  • Kimmo Kauhaniemi

    (School of Technology and Innovations, University of Vaasa, 65200 Vaasa, Finland)

Abstract

The stringent emission rules set by international maritime organisation and European Directives force ships and harbours to constrain their environmental pollution within certain targets and enable them to employ renewable energy sources. To this end, harbour grids are shifting towards renewable energy sources to cope with the growing demand for an onshore power supply and battery-charging stations for modern ships. However, it is necessary to accurately size and locate battery energy storage systems for any operational harbour grid to compensate the fluctuating power supply from renewable energy sources as well as meet the predicted maximum load demand without expanding the power capacities of transmission lines. In this paper, the equivalent circuit battery model of nickel–cobalt–manganese-oxide chemistry has been utilised for the sizing of a lithium-ion battery energy storage system, considering all the parameters affecting its performance. A battery cell model has been developed in the Matlab/Simulink platform, and subsequently an algorithm has been developed for the design of an appropriate size of lithium-ion battery energy storage systems. The developed algorithm has been applied by considering real data of a harbour grid in the Åland Islands, and the simulation results validate that the sizes and locations of battery energy storage systems are accurate enough for the harbour grid in the Åland Islands to meet the predicted maximum load demand of multiple new electric ferry charging stations for the years 2022 and 2030. Moreover, integrating battery energy storage systems with renewables helps to increase the reliability and defer capital cost investments of upgrading the ratings of transmission lines and other electrical equipment in the Åland Islands grid.

Suggested Citation

  • Jagdesh Kumar & Chethan Parthasarathy & Mikko Västi & Hannu Laaksonen & Miadreza Shafie-Khah & Kimmo Kauhaniemi, 2020. "Sizing and Allocation of Battery Energy Storage Systems in Åland Islands for Large-Scale Integration of Renewables and Electric Ferry Charging Stations," Energies, MDPI, vol. 13(2), pages 1-23, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:317-:d:306700
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    References listed on IDEAS

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    Cited by:

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    4. Groppi, Daniele & Pfeifer, Antun & Garcia, Davide Astiaso & Krajačić, Goran & Duić, Neven, 2021. "A review on energy storage and demand side management solutions in smart energy islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
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    7. Han, Seungyun & Kobla Tagayi, Roland & Kim, Jaewon & Kim, Jonghoon, 2022. "Adaptive deterministic approach for optimized sizing of high-energy battery system applied in electric-powered application," Applied Energy, Elsevier, vol. 309(C).
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