IDEAS home Printed from https://ideas.repec.org/a/aen/journl/ej42-5-spodniak.html
   My bibliography  Save this article

The Profitability of Energy Storage in European Electricity Markets

Author

Listed:
  • Petr Spodniak, Valentin Bertsch, and Mel Devine

Abstract

In this work, we study the profitability of energy storage operated in the Nordic, German, and UK electricity day-ahead markets during 20062016. During this time period, variable renewable energy sources (vRES) have been rapidly penetrating the markets and increasing the volatility of the residual load, which is often assumed to be associated with improving financial viability of energy storages. However, storage operator profits are not publicly available, in particular not at plant level. We therefore develop a linear optimisation model which maximises profits from arbitraging hourly prices and use the model output of profits and storage operating hours in further econometric analyses. This is a novel approach merging two strands of literature (optimisation and econometrics) in a single energy storage study. Specifically, we quantify and disentangle the effects of electricity demand, solar and wind generation, the spread between gas and coal prices, carbon emission prices and structural breaks on profits and operation of 113MWh/MW energy storages. Among others we find that solar generation is associated with lower profits but higher operating frequency of energy storages in Germany. Wind power generation is associated with positive effects on profits in the UK and Germany. vRES does not affect profits or operation of new Nordic energy storages.

Suggested Citation

  • Petr Spodniak, Valentin Bertsch, and Mel Devine, 2021. "The Profitability of Energy Storage in European Electricity Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
  • Handle: RePEc:aen:journl:ej42-5-spodniak
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=3735
    Download Restriction: Access to full text is restricted to IAEE members and subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Winkelmann, Rainer, 1995. "Duration Dependence and Dispersion in Count-Data Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 467-474, October.
    2. A. Colin Cameron & Pravin K. Trivedi, 1986. "Econometric models based on count data. Comparisons and applications of some estimators and tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    3. Geoffrey Heal, 2016. "Notes on the Economics of Energy Storage," NBER Working Papers 22752, National Bureau of Economic Research, Inc.
    4. Newbery, David, 2018. "Shifting demand and supply over time and space to manage intermittent generation: The economics of electrical storage," Energy Policy, Elsevier, vol. 113(C), pages 711-720.
    5. repec:iza:izawol:journl:y:2015:p:148 is not listed on IDEAS
    6. Tammy Harris & Zhao Yang & James W. Hardin, 2012. "Modeling underdispersed count data with generalized Poisson regression," Stata Journal, StataCorp LP, vol. 12(4), pages 736-747, December.
    7. Connolly, D. & Lund, H. & Finn, P. & Mathiesen, B.V. & Leahy, M., 2011. "Practical operation strategies for pumped hydroelectric energy storage (PHES) utilising electricity price arbitrage," Energy Policy, Elsevier, vol. 39(7), pages 4189-4196, July.
    8. Zafirakis, Dimitrios & Chalvatzis, Konstantinos J. & Baiocchi, Giovanni & Daskalakis, Georgios, 2016. "The value of arbitrage for energy storage: Evidence from European electricity markets," Applied Energy, Elsevier, vol. 184(C), pages 971-986.
    9. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    10. Rainer Winkelmann, 2015. "Counting on count data models," IZA World of Labor, Institute of Labor Economics (IZA), pages 148-148, May.
    11. Bradbury, Kyle & Pratson, Lincoln & Patiño-Echeverri, Dalia, 2014. "Economic viability of energy storage systems based on price arbitrage potential in real-time U.S. electricity markets," Applied Energy, Elsevier, vol. 114(C), pages 512-519.
    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. Nitsch, Felix & Deissenroth-Uhrig, Marc & Schimeczek, Christoph & Bertsch, Valentin, 2021. "Economic evaluation of battery storage systems bidding on day-ahead and automatic frequency restoration reserves markets," Applied Energy, Elsevier, vol. 298(C).
    2. Hameed, Zeenat & Hashemi, Seyedmostafa & Ipsen, Hans Henrik & Træholt, Chresten, 2021. "A business-oriented approach for battery energy storage placement in power systems," Applied Energy, Elsevier, vol. 298(C).

    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. Mercier, Thomas & Olivier, Mathieu & De Jaeger, Emmanuel, 2023. "The value of electricity storage arbitrage on day-ahead markets across Europe," Energy Economics, Elsevier, vol. 123(C).
    2. 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.
    3. Lin, Boqiang & Wu, Wei & Bai, Mengqi & Xie, Chunping & Radcliffe, Jonathan, 2019. "Liquid air energy storage: Price arbitrage operations and sizing optimization in the GB real-time electricity market," Energy Economics, Elsevier, vol. 78(C), pages 647-655.
    4. Antweiler, Werner, 2021. "Microeconomic models of electricity storage: Price Forecasting, arbitrage limits, curtailment insurance, and transmission line utilization," Energy Economics, Elsevier, vol. 101(C).
    5. McConnell, Dylan & Forcey, Tim & Sandiford, Mike, 2015. "Estimating the value of electricity storage in an energy-only wholesale market," Applied Energy, Elsevier, vol. 159(C), pages 422-432.
    6. Beevers, D. & Branchini, L. & Orlandini, V. & De Pascale, A. & Perez-Blanco, H., 2015. "Pumped hydro storage plants with improved operational flexibility using constant speed Francis runners," Applied Energy, Elsevier, vol. 137(C), pages 629-637.
    7. Lin, Boqiang & Wu, Wei, 2017. "Economic viability of battery energy storage and grid strategy: A special case of China electricity market," Energy, Elsevier, vol. 124(C), pages 423-434.
    8. Blanco, Herib & Faaij, André, 2018. "A review at the role of storage in energy systems with a focus on Power to Gas and long-term storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1049-1086.
    9. Rock, Steve & Sedo, Stanley & Willenborg, Michael, 2000. "Analyst following and count-data econometrics," Journal of Accounting and Economics, Elsevier, vol. 30(3), pages 351-373, December.
    10. Alison L. Booth & Hiau Joo Kee, 2009. "Intergenerational Transmission of Fertility Patterns," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 183-208, April.
    11. Gregori Baetschmann & Rainer Winkelmann, 2014. "A dynamic hurdle model for zero-inflated count data: with an application to health care utilization," ECON - Working Papers 151, Department of Economics - University of Zurich.
    12. Wu, Wei & Lin, Boqiang, 2018. "Application value of energy storage in power grid: A special case of China electricity market," Energy, Elsevier, vol. 165(PB), pages 1191-1199.
    13. Chyong, Chi Kong & Newbery, David, 2022. "A unit commitment and economic dispatch model of the GB electricity market – Formulation and application to hydro pumped storage," Energy Policy, Elsevier, vol. 170(C).
    14. Rainer Winkelmann, 2015. "Counting on count data models," IZA World of Labor, Institute of Labor Economics (IZA), pages 148-148, May.
    15. Célestin C. Kokonendji & Sobom M. Somé & Youssef Esstafa & Marcelo Bourguignon, 2023. "On Underdispersed Count Kernels for Smoothing Probability Mass Functions," Stats, MDPI, vol. 6(4), pages 1-15, November.
    16. Boonstra, Boris C. & Oosterlee, Cornelis W., 2021. "Valuation of electricity storage contracts using the COS method," Applied Mathematics and Computation, Elsevier, vol. 410(C).
    17. Kraan, Oscar & Kramer, Gert Jan & Nikolic, Igor & Chappin, Emile & Koning, Vinzenz, 2019. "Why fully liberalised electricity markets will fail to meet deep decarbonisation targets even with strong carbon pricing," Energy Policy, Elsevier, vol. 131(C), pages 99-110.
    18. Arcos-Vargas, Ángel & Canca, David & Núñez, Fernando, 2020. "Impact of battery technological progress on electricity arbitrage: An application to the Iberian market," Applied Energy, Elsevier, vol. 260(C).
    19. Núñez, Fernando & Canca, David & Arcos-Vargas, Ángel, 2022. "An assessment of European electricity arbitrage using storage systems," Energy, Elsevier, vol. 242(C).
    20. Fernando N'u~nez & David Canca & 'Angel Arcos-Vargas, 2020. "An assessment of European electricity arbitrage using storage systems," Papers 2010.11912, arXiv.org.

    More about this item

    JEL classification:

    • F0 - International Economics - - General

    Statistics

    Access and download statistics

    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:aen:journl:ej42-5-spodniak. 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: David Williams (email available below). General contact details of provider: https://edirc.repec.org/data/iaeeeea.html .

    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.