IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i22p15942-d1280073.html
   My bibliography  Save this article

Techno-Economic Analysis of Redox-Flow and Lithium-Iron-Phosphate Battery Storages at Different Imbalance Settlement Intervals

Author

Listed:
  • Samuel O. Ezennaya

    (Department of Electrical Energy Storage Technology (EET), Institute of Energy and Automation, Technical University Berlin, Einsteinufer 11, 10587 Berlin, Germany)

  • Ziliao Yuan

    (Department of Electrical Energy Storage Technology (EET), Institute of Energy and Automation, Technical University Berlin, Einsteinufer 11, 10587 Berlin, Germany)

  • Julia Kowal

    (Department of Electrical Energy Storage Technology (EET), Institute of Energy and Automation, Technical University Berlin, Einsteinufer 11, 10587 Berlin, Germany)

Abstract

The proliferation of renewable energy sources has presented challenges for Balancing Responsible Parties (BRPs) in accurately forecasting production and consumption. This issue is being addressed through the emergence of the balancing markets, which aims to maintain real-time equilibrium between production and consumption across various imbalance settlement intervals. This study conducted a techno-economic analysis of Lithium-Iron-Phosphate (LFP) and Redox-Flow Batteries (RFB) utilized in grid balancing management, with a focus on a 100 MW threshold deviation in 1 min, 5 min, and 15 min settlement intervals. Imbalance data, encompassing both imbalance volumes and prices, sourced from the Belgian Transmission System Operator (TSO)—Elia—over a three-year period from September 2019 to September 2022, formed the basis of this investigation. The analysis underscored the significant influence of factors, such as imbalance volume, price dynamics, and market settlement intervals on the technical and financial feasibility of Battery Energy Storage Systems (BESSs) within the context of balancing management. Notably, the technical and economic results of LFP and RFB exhibited comparable tendencies across the different market settlement intervals, providing valuable insights into potential developments about how trends will evolve in other settlement intervals.

Suggested Citation

  • Samuel O. Ezennaya & Ziliao Yuan & Julia Kowal, 2023. "Techno-Economic Analysis of Redox-Flow and Lithium-Iron-Phosphate Battery Storages at Different Imbalance Settlement Intervals," Sustainability, MDPI, vol. 15(22), pages 1-21, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15942-:d:1280073
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/22/15942/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/22/15942/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christopher Koch & Philipp Maskos, 2020. "Passive Balancing Through Intraday Trading: Whether Interactions Between Short-term Trading and Balancing Stabilize Germany s Electricity System," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 101-112.
    2. van der Veen, Reinier A.C. & Hakvoort, Rudi A., 2016. "The electricity balancing market: Exploring the design challenge," Utilities Policy, Elsevier, vol. 43(PB), pages 186-194.
    3. Pape, Christian & Hagemann, Simon & Weber, Christoph, 2016. "Are fundamentals enough? Explaining price variations in the German day-ahead and intraday power market," Energy Economics, Elsevier, vol. 54(C), pages 376-387.
    Full references (including those not matched with items on IDEAS)

    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. Katarzyna Maciejowska, 2022. "A portfolio management of a small RES utility with a Structural Vector Autoregressive model of German electricity markets," Papers 2205.00975, arXiv.org.
    2. Christopher Koch & Philipp Maskos, 2020. "Passive Balancing Through Intraday Trading: Whether Interactions Between Short-term Trading and Balancing Stabilize Germany s Electricity System," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 101-112.
    3. Sirin, Selahattin Murat & Yilmaz, Berna N., 2021. "The impact of variable renewable energy technologies on electricity markets: An analysis of the Turkish balancing market," Energy Policy, Elsevier, vol. 151(C).
    4. Rainer Baule & Michael Naumann, 2022. "Flexible Short-Term Electricity Certificates—An Analysis of Trading Strategies on the Continuous Intraday Market," Energies, MDPI, vol. 15(17), pages 1-28, August.
    5. Rintamäki, Tuomas & Siddiqui, Afzal S. & Salo, Ahti, 2020. "Strategic offering of a flexible producer in day-ahead and intraday power markets," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1136-1153.
    6. Christopher Kath & Florian Ziel, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Papers 1811.08604, arXiv.org.
    7. Bianco, Vincenzo & Scarpa, Federico, 2018. "Impact of the phase out of French nuclear reactors on the Italian power sector," Energy, Elsevier, vol. 150(C), pages 722-734.
    8. Di Cosmo, Valeria & Malaguzzi Valeri, Laura, 2018. "Wind, storage, interconnection and the cost of electricity generation," Energy Economics, Elsevier, vol. 69(C), pages 1-18.
    9. Heike Scheben & Nikolai Klempp & Kai Hufendiek, 2020. "Impact of Long-Term Water Inflow Uncertainty on Wholesale Electricity Prices in Markets with High Shares of Renewable Energies and Storages," Energies, MDPI, vol. 13(9), pages 1-21, May.
    10. Okur, Özge & Voulis, Nina & Heijnen, Petra & Lukszo, Zofia, 2019. "Aggregator-mediated demand response: Minimizing imbalances caused by uncertainty of solar generation," Applied Energy, Elsevier, vol. 247(C), pages 426-437.
    11. Poplavskaya, Ksenia & de Vries, Laurens, 2019. "Distributed energy resources and the organized balancing market: A symbiosis yet? Case of three European balancing markets," Energy Policy, Elsevier, vol. 126(C), pages 264-276.
    12. Wu, Zhaoyuan & Zhou, Ming & Zhang, Ting & Li, Gengyin & Zhang, Yan & Liu, Xiaojuan, 2020. "Imbalance settlement evaluation for China's balancing market design via an agent-based model with a multiple criteria decision analysis method," Energy Policy, Elsevier, vol. 139(C).
    13. Pape, Christian, 2018. "The impact of intraday markets on the market value of flexibility — Decomposing effects on profile and the imbalance costs," Energy Economics, Elsevier, vol. 76(C), pages 186-201.
    14. Pablo Fernández-Bustamante & Oscar Barambones & Isidro Calvo & Cristian Napole & Mohamed Derbeli, 2021. "Provision of Frequency Response from Wind Farms: A Review," Energies, MDPI, vol. 14(20), pages 1-24, October.
    15. Brijs, Tom & De Jonghe, Cedric & Hobbs, Benjamin F. & Belmans, Ronnie, 2017. "Interactions between the design of short-term electricity markets in the CWE region and power system flexibility," Applied Energy, Elsevier, vol. 195(C), pages 36-51.
    16. Simon Hirsch & Florian Ziel, 2022. "Simulation-based Forecasting for Intraday Power Markets: Modelling Fundamental Drivers for Location, Shape and Scale of the Price Distribution," Papers 2211.13002, arXiv.org.
    17. Lago, Jesus & Poplavskaya, Ksenia & Suryanarayana, Gowri & De Schutter, Bart, 2021. "A market framework for grid balancing support through imbalances trading," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    18. Uniejewski, Bartosz & Marcjasz, Grzegorz & Weron, Rafał, 2019. "Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1533-1547.
    19. Mahler, Valentin & Girard, Robin & Kariniotakis, Georges, 2022. "Data-driven structural modeling of electricity price dynamics," Energy Economics, Elsevier, vol. 107(C).
    20. Wan, Yi & Kober, Tom & Densing, Martin, 2022. "Nonlinear inverse demand curves in electricity market modeling," Energy Economics, Elsevier, vol. 107(C).

    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:jsusta:v:15:y:2023:i:22:p:15942-:d:1280073. 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.