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Revenues from storage in a competitive electricity market: Empirical evidence from Great Britain


  • Monica Giulietti

    () (University of Warwick)

  • Luigi Grossi

    () (University of Verona)


Despite the high upfront financial costs associated with the existing technologies for energy storage they have become more appealing in recent years in response to the increasing importance of non-dispatchable sources of generation in the energy systems of developed countries. One of the essential pieces of information required to value the monetary benefits which can be achieved when investing in energy storage is the price that energy will command when it is released, compared with the price paid when injected into the storage. In this paper we investigate this relationship using time series statistical techniques for various maturities of forward prices, using data on assessments of power prices for future delivery. We will examine the relationship for predictability and size of gap in order to answer questions about the likely financial benefits which can be obtained from optimal time management of storage facilities, using a technology neutral approach. Our initial results indicate that such arbitrage opportunities exist for storage facilities, especially when energy is stored over a short-term period of a day or a week.

Suggested Citation

  • Monica Giulietti & Luigi Grossi, 2013. "Revenues from storage in a competitive electricity market: Empirical evidence from Great Britain," Working Papers 2013/37, Institut d'Economia de Barcelona (IEB).
  • Handle: RePEc:ieb:wpaper:2013/6/doc2013-37

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    References listed on IDEAS

    1. Grünewald, Philipp & Cockerill, Tim & Contestabile, Marcello & Pearson, Peter, 2011. "The role of large scale storage in a GB low carbon energy future: Issues and policy challenges," Energy Policy, Elsevier, vol. 39(9), pages 4807-4815, September.
    2. Byers, Joe Wayne, 2006. "Commodity storage valuation: A linear optimization based on traded instruments," Energy Economics, Elsevier, vol. 28(3), pages 275-287, May.
    3. Xian HE & Georg ZACHMANN, 2010. "Catching the maximum market value of electricity storage – technical, economic and regulatory aspect," RSCAS Working Papers 2010/02, European University Institute.
    4. Sioshansi, Ramteen & Denholm, Paul & Jenkin, Thomas & Weiss, Jurgen, 2009. "Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects," Energy Economics, Elsevier, vol. 31(2), pages 269-277, March.
    5. Greenblatt, Jeffery B. & Succar, Samir & Denkenberger, David C. & Williams, Robert H. & Socolow, Robert H., 2007. "Baseload wind energy: modeling the competition between gas turbines and compressed air energy storage for supplemental generation," Energy Policy, Elsevier, vol. 35(3), pages 1474-1492, March.
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    More about this item


    Energy storage; wholesale electricity markets; electricity price returns; volatility; arbitrage;

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation


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