IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i4p911-d1590771.html
   My bibliography  Save this article

Profitability Analysis of Battery Energy Storage in Energy and Balancing Markets: A Case Study in the Greek Market

Author

Listed:
  • Giannis T. Giannakopoulos

    (Laboratory of Power Systems, Renewable and Distributed Generation, Department of Electrical and Computer Engineering, University of Patras, University Campus, 26504 Rion, Greece)

  • Dimitrios A. Papadaskalopoulos

    (Laboratory of Power Systems, Renewable and Distributed Generation, Department of Electrical and Computer Engineering, University of Patras, University Campus, 26504 Rion, Greece)

  • Makedon D. Karasavvidis

    (EDF Energy, 90 Whitfield Street, London W1T 4EZ, UK)

  • Panagis N. Vovos

    (Laboratory of Power Systems, Renewable and Distributed Generation, Department of Electrical and Computer Engineering, University of Patras, University Campus, 26504 Rion, Greece)

Abstract

Despite the massive increase of renewable energy generation in Greece, large-scale battery energy storage systems (BESS) are yet to be integrated in the Greek electricity market. This paper analyzes the profitability of BESS in Greece, focusing on the Day-Ahead Market (DAM) and the Frequency Containment Reserve (FCR) market. To this end, we examine and compare the following three instances of BESS market participation with respect to the short-term uncertainty BESS participants face in terms of market prices and FCR utilization factors: (a) a theoretical perfect information instance, (b) a deterministic instance based on average historical values of the uncertain parameters, and (c) a stochastic instance based on alternative scenarios stemming from historical data. The last two instances are complemented by an out-of-sample validation representing BESS operation after uncertainty is materialized. Furthermore, for each of these three instances, we explore three cases involving participation only in the DAM, only in the FCR market, and in a combination of the DAM and FCR market, accounting for the different pricing mechanisms of these markets. The case studies employ real market and frequency data from Greece and compare the three instances and three market participation cases in terms of achieved profit and energy violation rate.

Suggested Citation

  • Giannis T. Giannakopoulos & Dimitrios A. Papadaskalopoulos & Makedon D. Karasavvidis & Panagis N. Vovos, 2025. "Profitability Analysis of Battery Energy Storage in Energy and Balancing Markets: A Case Study in the Greek Market," Energies, MDPI, vol. 18(4), pages 1-19, February.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:911-:d:1590771
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/4/911/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/4/911/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohamed, Ahmed & Rigo-Mariani, Rémy & Debusschere, Vincent & Pin, Lionel, 2023. "Stacked revenues for energy storage participating in energy and reserve markets with an optimal frequency regulation modeling," Applied Energy, Elsevier, vol. 350(C).
    2. Ahmed Mohamed & Rémy Rigo-Mariani & Vincent Debusschere & Lionel Pin, 2023. "Stacked Revenues for Energy Storage Participating in Energy and Reserve Markets with an Optimal Frequency Regulation Modeling," Post-Print hal-04182119, HAL.
    3. Moreno, Rodrigo & Moreira, Roberto & Strbac, Goran, 2015. "A MILP model for optimising multi-service portfolios of distributed energy storage," Applied Energy, Elsevier, vol. 137(C), pages 554-566.
    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. Chen, Shi & Li, Chuangzhi & Zang, Tianlei & Zhou, Buxiang & Yang, Lonjie & Qiu, Yiwei & Zhou, Yi & Zhang, Xiaoshun, 2024. "Multi-timescale dispatch technology for islanded energy system in the Gobi Desert," Renewable Energy, Elsevier, vol. 234(C).
    2. Ahmed Mohamed & Rémy Rigo-Mariani & Vincent Debusschere & Lionel Pin, 2024. "Operational Planning Strategies to Mitigate Price Uncertainty in Day-Ahead Market for a Battery Energy System," Post-Print hal-04628352, HAL.
    3. Sun, Xiaotian & Xie, Haipeng & Qiu, Dawei & Xiao, Yunpeng & Bie, Zhaohong & Strbac, Goran, 2023. "Decentralized frequency regulation service provision for virtual power plants: A best response potential game approach," Applied Energy, Elsevier, vol. 352(C).
    4. Pedro Crespo Del Granado & Stein Wallace & Zhan Pang, 2016. "The impact of wind uncertainty on the strategic valuation of distributed electricity storage," Computational Management Science, Springer, vol. 13(1), pages 5-27, January.
    5. Tom Brijs & Daniel Huppmann & Sauleh Siddiqui & Ronnie Belmans, 2016. "Auction-Based Allocation of Shared Electricity Storage Resources through Physical Storage Rights," Discussion Papers of DIW Berlin 1566, DIW Berlin, German Institute for Economic Research.
    6. Chen, Yang & Odukomaiya, Adewale & Kassaee, Saiid & O’Connor, Patrick & Momen, Ayyoub M. & Liu, Xiaobing & Smith, Brennan T., 2019. "Preliminary analysis of market potential for a hydropneumatic ground-level integrated diverse energy storage system," Applied Energy, Elsevier, vol. 242(C), pages 1237-1247.
    7. Hartmann, Bálint & Divényi, Dániel & Vokony, István, 2018. "Evaluation of business possibilities of energy storage at commercial and industrial consumers – A case study," Applied Energy, Elsevier, vol. 222(C), pages 59-66.
    8. Upadhyay, Subho & Sharma, M.P., 2016. "Selection of a suitable energy management strategy for a hybrid energy system in a remote rural area of India," Energy, Elsevier, vol. 94(C), pages 352-366.
    9. Pusceddu, Elian & Zakeri, Behnam & Castagneto Gissey, Giorgio, 2021. "Synergies between energy arbitrage and fast frequency response for battery energy storage systems," Applied Energy, Elsevier, vol. 283(C).
    10. Spyros Giannelos & Predrag Djapic & Danny Pudjianto & Goran Strbac, 2020. "Quantification of the Energy Storage Contribution to Security of Supply through the F-Factor Methodology," Energies, MDPI, vol. 13(4), pages 1-15, February.
    11. Fan Li & Dong Liu & Ke Sun & Songheng Yang & Fangzheng Peng & Kexin Zhang & Guodong Guo & Yuan Si, 2024. "Towards a Future Hydrogen Supply Chain: A Review of Technologies and Challenges," Sustainability, MDPI, vol. 16(5), pages 1-36, February.
    12. Burger, Scott P. & Luke, Max, 2017. "Business models for distributed energy resources: A review and empirical analysis," Energy Policy, Elsevier, vol. 109(C), pages 230-248.
    13. Schriever, Marlene & Halstrup, Dominik, 2018. "Exploring the adoption in transitioning markets: Empirical findings and implications on energy storage solutions-acceptance in the German manufacturing industry," Energy Policy, Elsevier, vol. 120(C), pages 460-468.
    14. Marquant, Julien F. & Evins, Ralph & Bollinger, L. Andrew & Carmeliet, Jan, 2017. "A holarchic approach for multi-scale distributed energy system optimisation," Applied Energy, Elsevier, vol. 208(C), pages 935-953.
    15. Ann-Kathrin Klaas & Hans-Peter Beck, 2021. "A MILP Model for Revenue Optimization of a Compressed Air Energy Storage Plant with Electrolysis," Energies, MDPI, vol. 14(20), pages 1-21, October.
    16. Shang, Nan & Ye, Chengjin & Ding, Yi & Tu, Teng & Huo, Baofeng, 2019. "Risk-based optimal power portfolio methodology for generation companies considering cross-region generation right trade," Applied Energy, Elsevier, vol. 254(C).
    17. Vecchi, Andrea & Li, Yongliang & Mancarella, Pierluigi & Sciacovelli, Adriano, 2020. "Integrated techno-economic assessment of Liquid Air Energy Storage (LAES) under off-design conditions: Links between provision of market services and thermodynamic performance," Applied Energy, Elsevier, vol. 262(C).
    18. Alessandro Burgio & Daniele Menniti & Nicola Sorrentino & Anna Pinnarelli & Zbigniew Leonowicz, 2020. "Influence and Impact of Data Averaging and Temporal Resolution on the Assessment of Energetic, Economic and Technical Issues of Hybrid Photovoltaic-Battery Systems," Energies, MDPI, vol. 13(2), pages 1-26, January.
    19. Harper, Gavin D.J. & Kendrick, Emma & Anderson, Paul A. & Mrozik, Wojciech & Christensen, Paul & Lambert, Simon & Greenwood, David & Das, Prodip K. & Ahmeid, Mohamed & Milojevic, Zoran & Du, Wenjia & , 2023. "Roadmap for a sustainable circular economy in lithium-ion and future battery technologies," LSE Research Online Documents on Economics 118420, London School of Economics and Political Science, LSE Library.
    20. Oderinwale, Temitayo & McInnes, Colin R., 2022. "Enhancing solar energy generation and usage: Orbiting solar reflectors as alternative to energy storage," Applied Energy, Elsevier, vol. 317(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:jeners:v:18:y:2025:i:4:p:911-:d:1590771. 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.