IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i2p317-d306700.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/2/317/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/2/317/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2018. "Battery energy storage system size determination in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 109-125.
    2. Muhammad Umair Mutarraf & Yacine Terriche & Kamran Ali Khan Niazi & Juan C. Vasquez & Josep M. Guerrero, 2018. "Energy Storage Systems for Shipboard Microgrids—A Review," Energies, MDPI, vol. 11(12), pages 1-32, December.
    3. Deng, Zhongwei & Deng, Hao & Yang, Lin & Cai, Yishan & Zhao, Xiaowei, 2017. "Implementation of reduced-order physics-based model and multi-parameters identification strategy for lithium-ion battery," Energy, Elsevier, vol. 138(C), pages 509-519.
    4. Jagdesh Kumar & Aushiq Ali Memon & Lauri Kumpulainen & Kimmo Kauhaniemi & Omid Palizban, 2019. "Design and Analysis of New Harbour Grid Models to Facilitate Multiple Scenarios of Battery Charging and Onshore Supply for Modern Vessels," Energies, MDPI, vol. 12(12), pages 1-18, June.
    5. Monaaf D. A. Al-Falahi & Tomasz Tarasiuk & Shantha Gamini Jayasinghe & Zheming Jin & Hossein Enshaei & Josep M. Guerrero, 2018. "AC Ship Microgrids: Control and Power Management Optimization," Energies, MDPI, vol. 11(6), pages 1-20, June.
    6. Lee, Kyoung-Jun & Shin, Dongsul & Yoo, Dong-Wook & Choi, Han-Kyu & Kim, Hee-Je, 2013. "Hybrid photovoltaic/diesel green ship operating in standalone and grid-connected mode – Experimental investigation," Energy, Elsevier, vol. 49(C), pages 475-483.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hajra Khan & Imran Fareed Nizami & Saeed Mian Qaisar & Asad Waqar & Moez Krichen & Abdulaziz Turki Almaktoom, 2022. "Analyzing Optimal Battery Sizing in Microgrids Based on the Feature Selection and Machine Learning Approaches," Energies, MDPI, vol. 15(21), pages 1-22, October.
    2. Jon Williamsson & Nicole Costa & Vendela Santén & Sara Rogerson, 2022. "Barriers and Drivers to the Implementation of Onshore Power Supply—A Literature Review," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    3. Anthony Roy & François Auger & Jean-Christophe Olivier & Emmanuel Schaeffer & Bruno Auvity, 2020. "Design, Sizing, and Energy Management of Microgrids in Harbor Areas: A Review," Energies, MDPI, vol. 13(20), pages 1-24, October.
    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).
    5. Savolainen, Rebecka & Lahdelma, Risto, 2022. "Optimization of renewable energy for buildings with energy storages and 15-minute power balance," Energy, Elsevier, vol. 243(C).
    6. Dragan Pamucar & Muhammet Deveci & Ilgin Gokasar & Milena Popovic, 2022. "Fuzzy Hamacher WASPAS decision-making model for advantage prioritization of sustainable supply chain of electric ferry implementation in public transportation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 7138-7177, May.
    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).
    8. Dominika Kaczorowska & Jacek Rezmer & Michal Jasinski & Tomasz Sikorski & Vishnu Suresh & Zbigniew Leonowicz & Pawel Kostyla & Jaroslaw Szymanda & Przemyslaw Janik, 2020. "A Case Study on Battery Energy Storage System in a Virtual Power Plant: Defining Charging and Discharging Characteristics," Energies, MDPI, vol. 13(24), pages 1-22, December.
    9. Ahmed Gailani & Maher Al-Greer & Michael Short & Tracey Crosbie & Nashwan Dawood, 2020. "Lifetime Degradation Cost Analysis for Li-Ion Batteries in Capacity Markets using Accurate Physics-Based Models," Energies, MDPI, vol. 13(11), pages 1-21, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jagdesh Kumar & Aushiq Ali Memon & Lauri Kumpulainen & Kimmo Kauhaniemi & Omid Palizban, 2019. "Design and Analysis of New Harbour Grid Models to Facilitate Multiple Scenarios of Battery Charging and Onshore Supply for Modern Vessels," Energies, MDPI, vol. 12(12), pages 1-18, June.
    2. Al-Falahi, Monaaf D.A. & Jayasinghe, Shantha D.G. & Enshaei, Hossein, 2019. "Hybrid algorithm for optimal operation of hybrid energy systems in electric ferries," Energy, Elsevier, vol. 187(C).
    3. Dariusz Karkosiński & Wojciech Aleksander Rosiński & Piotr Deinrych & Szymon Potrykus, 2021. "Onboard Energy Storage and Power Management Systems for All-Electric Cargo Vessel Concept," Energies, MDPI, vol. 14(4), pages 1-16, February.
    4. Nivolianiti, Evaggelia & Karnavas, Yannis L. & Charpentier, Jean-Frederic, 2024. "Energy management of shipboard microgrids integrating energy storage systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    5. Nur Najihah Abu Bakar & Josep M. Guerrero & Juan C. Vasquez & Najmeh Bazmohammadi & Yun Yu & Abdullah Abusorrah & Yusuf A. Al-Turki, 2021. "A Review of the Conceptualization and Operational Management of Seaport Microgrids on the Shore and Seaside," Energies, MDPI, vol. 14(23), pages 1-31, November.
    6. Muhammad Umair Mutarraf & Yacine Terriche & Kamran Ali Khan Niazi & Fawad Khan & Juan C. Vasquez & Josep M. Guerrero, 2019. "Control of Hybrid Diesel/PV/Battery/Ultra-Capacitor Systems for Future Shipboard Microgrids," Energies, MDPI, vol. 12(18), pages 1-23, September.
    7. Ghorbanzadeh, Milad & Astaneh, Majid & Golzar, Farzin, 2019. "Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems," Energy, Elsevier, vol. 166(C), pages 1194-1206.
    8. Svetlana Drobyazko & Suparna Wijaya & Pavel Blecharz & Sergii Bogachov & Milyausha Pinskaya, 2021. "Modeling of Prospects for the Development of Regional Renewable Energy," Energies, MDPI, vol. 14(8), pages 1-17, April.
    9. Calise, Francesco & Cappiello, Francesco Liberato & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2020. "Dynamic modelling and thermoeconomic analysis of micro wind turbines and building integrated photovoltaic panels," Renewable Energy, Elsevier, vol. 160(C), pages 633-652.
    10. Chen, Wei-Hsin & Wang, Chi-Ming & Lee, Da-Sheng & Kwon, Eilhann E. & Ashokkumar, Veeramuthu & Culaba, Alvin B., 2022. "Optimization design by evolutionary computation for minimizing thermal stress of a thermoelectric generator with varied numbers of square pin fins," Applied Energy, Elsevier, vol. 314(C).
    11. Tang, Ruoli & Li, Xin & Lai, Jingang, 2018. "A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization," Applied Energy, Elsevier, vol. 228(C), pages 254-264.
    12. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2022. "Forecasting error processing techniques and frequency domain decomposition for forecasting error compensation and renewable energy firming in hybrid systems," Applied Energy, Elsevier, vol. 313(C).
    13. Igyso Zafeiratou & Ionela Prodan & Laurent Lefévre, 2021. "A Hierarchical Control Approach for Power Loss Minimization and Optimal Power Flow within a Meshed DC Microgrid," Energies, MDPI, vol. 14(16), pages 1-27, August.
    14. Sun, Daoming & Yu, Xiaoli & Wang, Chongming & Zhang, Cheng & Huang, Rui & Zhou, Quan & Amietszajew, Taz & Bhagat, Rohit, 2021. "State of charge estimation for lithium-ion battery based on an Intelligent Adaptive Extended Kalman Filter with improved noise estimator," Energy, Elsevier, vol. 214(C).
    15. Ilman Sulaeman & Gautham Ram Chandra Mouli & Aditya Shekhar & Pavol Bauer, 2021. "Comparison of AC and DC Nanogrid for Office Buildings with EV Charging, PV and Battery Storage," Energies, MDPI, vol. 14(18), pages 1-22, September.
    16. Andrzej Łebkowski & Wojciech Koznowski, 2020. "Analysis of the Use of Electric and Hybrid Drives on SWATH Ships," Energies, MDPI, vol. 13(24), pages 1-26, December.
    17. Singh, Pushpendra & Meena, Nand K. & Yang, Jin & Vega-Fuentes, Eduardo & Bishnoi, Shree Krishna, 2020. "Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks," Applied Energy, Elsevier, vol. 278(C).
    18. Lai, Xin & Yao, Yi & Tang, Xiaopeng & Zheng, Yuejiu & Zhou, Yuanqiang & Sun, Yuedong & Gao, Furong, 2023. "Voltage profile reconstruction and state of health estimation for lithium-ion batteries under dynamic working conditions," Energy, Elsevier, vol. 282(C).
    19. Younes Zahraoui & Ibrahim Alhamrouni & Saad Mekhilef & M. Reyasudin Basir Khan & Mehdi Seyedmahmoudian & Alex Stojcevski & Ben Horan, 2021. "Energy Management System in Microgrids: A Comprehensive Review," Sustainability, MDPI, vol. 13(19), pages 1-33, September.
    20. Damien Guilbert & Gianpaolo Vitale, 2019. "Dynamic Emulation of a PEM Electrolyzer by Time Constant Based Exponential Model," Energies, MDPI, vol. 12(4), pages 1-17, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:317-:d:306700. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.