IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v165y2022ics0301421522001720.html
   My bibliography  Save this article

Intermittency and the social role of storage

Author

Listed:
  • Waterson, Michael
  • Trujillo- Baute, Elisa
  • Giulietti, Monica

Abstract

Our paper examines the social benefit of energy storage in terms of smoothing the intermittent output of wind in Britain in the context of a significant wind generation presence. The resultant price smoothing creates benefits as follows: grid scale storage has a price suppressing effect, decreasing the probability of remaining in the high price and high volatility regime during peak hours, and it increases the probability of remaining in the normal regime during off-peak hours. Under the assumption that the effects on market prices are passed through to final consumers, and ignoring the facility construction costs, our results strongly suggest that there are clear potential social advantages resulting from deploying grid-level storage in the presence of intermittent wind generation.

Suggested Citation

  • Waterson, Michael & Trujillo- Baute, Elisa & Giulietti, Monica, 2022. "Intermittency and the social role of storage," Energy Policy, Elsevier, vol. 165(C).
    • Handle: RePEc:eee:enepol:v:165:y:2022:i:c:s0301421522001720
    DOI: 10.1016/j.enpol.2022.112947
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421522001720
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2022.112947?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Batalla-Bejerano, Joan & Trujillo-Baute, Elisa, 2016. "Impacts of intermittent renewable generation on electricity system costs," Energy Policy, Elsevier, vol. 94(C), pages 411-420.
    2. Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290.
    3. 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.
    4. Carlo Cambini & Raffaele Congiu & Golnoush Soroush, 2020. "Regulation, Innovation, and Systems Integration: Evidence from the EU," Energies, MDPI, vol. 13(7), pages 1-18, April.
    5. repec:taf:applec:45:y:2013:i:18:p:2683-2693 is not listed on IDEAS
    6. Ronald Huisman & Mehtap Kili砍, 2013. "A history of European electricity day-ahead prices," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2683-2693, June.
    7. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    8. Swinand, Gregory P. & O'Mahoney, Amy, 2015. "Estimating the impact of wind generation and wind forecast errors on energy prices and costs in Ireland," Renewable Energy, Elsevier, vol. 75(C), pages 468-473.
    9. Waterson, Michael, 2017. "The characteristics of electricity storage, renewables and markets," Energy Policy, Elsevier, vol. 104(C), pages 466-473.
    10. Vorushylo, I. & Keatley, P. & Hewitt, NJ, 2016. "Most promising flexible generators for the wind dominated market," Energy Policy, Elsevier, vol. 96(C), pages 564-575.
    11. Joos, Michael & Staffell, Iain, 2018. "Short-term integration costs of variable renewable energy: Wind curtailment and balancing in Britain and Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 86(C), pages 45-65.
    12. Hu, Xiao & Jaraitė, Jūratė & Kažukauskas, Andrius, 2021. "The effects of wind power on electricity markets: A case study of the Swedish intraday market," Energy Economics, Elsevier, vol. 96(C).
    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. Diana Carolina Guío-Pérez & Guillermo Martinez Castilla & David Pallarès & Henrik Thunman & Filip Johnsson, 2023. "Thermochemical Energy Storage with Integrated District Heat Production–A Case Study of Sweden," Energies, MDPI, vol. 16(3), pages 1-26, January.

    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. John M. Maheu & Thomas H. McCurdy, 2002. "Nonlinear Features of Realized FX Volatility," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 668-681, November.
    2. Siu, Tak Kuen & Yang, Hailiang & Lau, John W., 2008. "Pricing currency options under two-factor Markov-modulated stochastic volatility models," Insurance: Mathematics and Economics, Elsevier, vol. 43(3), pages 295-302, December.
    3. Francq, Christian & Makarova, Svetlana & Zakoi[diaeresis]an, Jean-Michel, 2008. "A class of stochastic unit-root bilinear processes: Mixing properties and unit-root test," Journal of Econometrics, Elsevier, vol. 142(1), pages 312-326, January.
    4. Eric Girardin & Zhenya Liu, 2003. "The Chinese Stock Market: A Casino with 'Buffer Zones'?," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 1(1), pages 57-70.
    5. 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.
    6. Markus Haas, 2004. "Mixed Normal Conditional Heteroskedasticity," Journal of Financial Econometrics, Oxford University Press, vol. 2(2), pages 211-250.
    7. Klaassen, F.J.G.M., 1999. "Purchasing Power Parity : Evidence from a New Test," Other publications TiSEM 91e73eb9-a023-4fdb-bd70-b, Tilburg University, School of Economics and Management.
    8. Omokolade Akinsomi & Mehmet Balcilar & Rıza Demirer & Rangan Gupta, 2017. "The effect of gold market speculation on REIT returns in South Africa: a behavioral perspective," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(4), pages 774-793, October.
    9. Balcilar, Mehmet & Gupta, Rangan & Miller, Stephen M., 2015. "Regime switching model of US crude oil and stock market prices: 1859 to 2013," Energy Economics, Elsevier, vol. 49(C), pages 317-327.
    10. repec:adr:anecst:y:1991:i:24:p:01 is not listed on IDEAS
    11. Lieven Baele & Koen Inghelbrecht, 2005. "Structural versus Temporary Drivers of Country and Industry Risk," International Finance 0511005, University Library of Munich, Germany.
    12. Klaassen, F.J.G.M., 1998. "Improving Garch Volatility Forecasts," Other publications TiSEM f5bcd096-7744-4137-aabc-6, Tilburg University, School of Economics and Management.
    13. Franc Klaassen, 2005. "Long Swings in Exchange Rates: Are They Really in the Data?," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 87-95, January.
    14. Timmermann, Allan, 2000. "Moments of Markov switching models," Journal of Econometrics, Elsevier, vol. 96(1), pages 75-111, May.
    15. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    16. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654.
    17. Vo, Minh T., 2009. "Regime-switching stochastic volatility: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 31(5), pages 779-788, September.
    18. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    19. Calvet, Laurent E. & Fisher, Adlai J., 2007. "Multifrequency news and stock returns," Journal of Financial Economics, Elsevier, vol. 86(1), pages 178-212, October.
    20. Haas, Markus & Mittnik, Stefan, 2008. "Multivariate regimeswitching GARCH with an application to international stock markets," CFS Working Paper Series 2008/08, Center for Financial Studies (CFS).
    21. Ryan Lemand, 2003. "The Contagion Effect Between the Volatilities of the NASDAQ-100 and the IT.CA :A Univariate and A Bivariate Switching Approach," Econometrics 0307002, University Library of Munich, Germany, revised 07 Dec 2020.

    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:eee:enepol:v:165:y:2022:i:c:s0301421522001720. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.