IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v75y2015icp468-473.html
   My bibliography  Save this article

Estimating the impact of wind generation and wind forecast errors on energy prices and costs in Ireland

Author

Listed:
  • Swinand, Gregory P.
  • O'Mahoney, Amy

Abstract

This paper studies the impact of wind generation on system costs and prices in Ireland. The importance of wind power and potential impacts on system costs is of interest to power system planners and policy makers globally. However, the impact of wind generation on system costs has been only studied with limited actual data from power systems with increased wind penetration. The paper uses a unique dataset of half-hourly system demand, generation, forecast and actual wind generation, along with Irish system marginal price (SMP) data from 2008 to autumn 2012. An econometric time-series model of SMP as a function of forecast and realized demand and wind generation yields results which suggest that each 1% increase in wind generation reduces SMP in Ireland by about 0.06%, while each 1% wind forecast error increases SMP about 0.02%. In absolute terms, though, at the mean the impact of wind forecast errors is small, or about 0.4€cent/MWh-wind generated.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:75:y:2015:i:c:p:468-473
    DOI: 10.1016/j.renene.2014.09.060
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148114006314
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2014.09.060?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 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. Würzburg, Klaas & Labandeira, Xavier & Linares, Pedro, 2013. "Renewable generation and electricity prices: Taking stock and new evidence for Germany and Austria," Energy Economics, Elsevier, vol. 40(S1), pages 159-171.
    2. Di Cosmo, Valeria & Malaguzzi Valeri, Laura, 2014. "The incentive to invest in thermal plants in the presence of wind generation," Energy Economics, Elsevier, vol. 43(C), pages 306-315.
    3. O'Mahoney, Amy & Denny, Eleanor, 2013. "Electricity prices and generator behaviour in gross pool electricity markets," Energy Policy, Elsevier, vol. 63(C), pages 628-637.
    4. Ketterer, Janina C., 2014. "The impact of wind power generation on the electricity price in Germany," Energy Economics, Elsevier, vol. 44(C), pages 270-280.
    5. Tashpulatov, Sherzod N., 2013. "Estimating the volatility of electricity prices: The case of the England and Wales wholesale electricity market," Energy Policy, Elsevier, vol. 60(C), pages 81-90.
    6. Felder, Frank A., 2011. "Examining Electricity Price Suppression Due to Renewable Resources and Other Grid Investments," The Electricity Journal, Elsevier, vol. 24(4), pages 34-46, May.
    7. Troy, Niamh & Denny, Eleanor & O'Malley, Mark, 2010. "Base-load cycling on a system with significant wind penetration," MPRA Paper 34848, University Library of Munich, Germany.
    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. Olukunle O. Owolabi & Toryn L. J. Schafer & Georgia E. Smits & Sanhita Sengupta & Sean E. Ryan & Lan Wang & David S. Matteson & Mila Getmansky Sherman & Deborah A. Sunter, 2021. "Role of Variable Renewable Energy Penetration on Electricity Price and its Volatility Across Independent System Operators in the United States," Papers 2112.11338, arXiv.org, revised Nov 2022.
    2. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "The impact of the North Atlantic Oscillation on electricity markets: A case study on Ireland," Energy Economics, Elsevier, vol. 58(C), pages 186-198.
    3. Goodarzi, Shadi & Perera, H. Niles & Bunn, Derek, 2019. "The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices," Energy Policy, Elsevier, vol. 134(C).
    4. Marijke Welisch & André Ortner & Gustav Resch, 2016. "Assessment of RES technology market values and the merit-order effect – an econometric multi-country analysis," Energy & Environment, , vol. 27(1), pages 105-121, February.
    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. González-Aparicio, I. & Zucker, A., 2015. "Impact of wind power uncertainty forecasting on the market integration of wind energy in Spain," Applied Energy, Elsevier, vol. 159(C), pages 334-349.
    7. Lisa MH Hall & Alastair Buckley & Jose Mawyin, 2015. "Estimating the Impact of Wind Generation in the UK," Papers 1510.05854, arXiv.org, revised Nov 2015.
    8. Waterson, Michael & Trujillo- Baute, Elisa & Giulietti, Monica, 2022. "Intermittency and the social role of storage," Energy Policy, Elsevier, vol. 165(C).
    9. Ahmed, Adil & Khalid, Muhammad, 2019. "A review on the selected applications of forecasting models in renewable power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 9-21.
    10. Slednev, Viktor & Bertsch, Valentin & Ruppert, Manuel & Fichtner, Wolf, 2017. "Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology," MPRA Paper 79706, University Library of Munich, Germany.
    11. Yang, Hongming & Qiu, Jing & Meng, Ke & Zhao, Jun Hua & Dong, Zhao Yang & Lai, Mingyong, 2016. "Insurance strategy for mitigating power system operational risk introduced by wind power forecasting uncertainty," Renewable Energy, Elsevier, vol. 89(C), pages 606-615.
    12. Bajo-Buenestado, Raúl, 2021. "Operating reserve demand curve, scarcity pricing and intermittent generation: Lessons from the Texas ERCOT experience," Energy Policy, Elsevier, vol. 149(C).
    13. Ting Yang & Yajian Zhang & Zhaoxia Wang & Haibo Pen, 2018. "Secondary Frequency Stochastic Optimal Control in Independent Microgrids with Virtual Synchronous Generator-Controlled Energy Storage Systems," Energies, MDPI, vol. 11(9), pages 1-14, September.
    14. Kästel, Peter & Gilroy-Scott, Bryce, 2015. "Economics of pooling small local electricity prosumers—LCOE & self-consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 718-729.
    15. Valeria Di Cosmo & Laura Malaguzzi Valeri, 2016. "Wind, storage, interconnection and the cost of electricity," Working Papers 2016/30, Institut d'Economia de Barcelona (IEB).

    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. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "The impact of the North Atlantic Oscillation on electricity markets: A case study on Ireland," Energy Economics, Elsevier, vol. 58(C), pages 186-198.
    2. Denny, Eleanor & O'Mahoney, Amy & Lannoye, Eamonn, 2017. "Modelling the impact of wind generation on electricity market prices in Ireland: An econometric versus unit commitment approach," Renewable Energy, Elsevier, vol. 104(C), pages 109-119.
    3. Bell, William Paul & Wild, Phillip & Foster, John & Hewson, Michael, 2017. "Revitalising the wind power induced merit order effect to reduce wholesale and retail electricity prices in Australia," Energy Economics, Elsevier, vol. 67(C), pages 224-241.
    4. Maniatis, Georgios I. & Milonas, Nikolaos T., 2022. "The impact of wind and solar power generation on the level and volatility of wholesale electricity prices in Greece," Energy Policy, Elsevier, vol. 170(C).
    5. Gürtler, Marc & Paulsen, Thomas, 2018. "The effect of wind and solar power forecasts on day-ahead and intraday electricity prices in Germany," Energy Economics, Elsevier, vol. 75(C), pages 150-162.
    6. Figueiredo, Nuno Carvalho & Silva, Patrícia Pereira da, 2019. "The “Merit-order effect” of wind and solar power: Volatility and determinants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 54-62.
    7. Haxhimusa, Adhurim, 2018. "The Effects of German Wind and Solar Electricity on French Spot Price Volatility: An Empirical Investigation," Department of Economics Working Paper Series 258, WU Vienna University of Economics and Business.
    8. Csereklyei, Zsuzsanna & Qu, Songze & Ancev, Tihomir, 2019. "The effect of wind and solar power generation on wholesale electricity prices in Australia," Energy Policy, Elsevier, vol. 131(C), pages 358-369.
    9. 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.
    10. Browne, Oliver & Poletti, Stephen & Young, David, 2015. "How does market power affect the impact of large scale wind investment in 'energy only' wholesale electricity markets?," Energy Policy, Elsevier, vol. 87(C), pages 17-27.
    11. Samarth Kumar & David Schönheit & Matthew Schmidt & Dominik Möst, 2019. "Parsing the Effects of Wind and Solar Generation on the German Electricity Trade Surplus," Energies, MDPI, vol. 12(18), pages 1-17, September.
    12. 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.
    13. Levin, Todd & Botterud, Audun, 2015. "Electricity market design for generator revenue sufficiency with increased variable generation," Energy Policy, Elsevier, vol. 87(C), pages 392-406.
    14. Percebois, Jacques & Pommeret, Stanislas, 2019. "Storage cost induced by a large substitution of nuclear by intermittent renewable energies: The French case," Energy Policy, Elsevier, vol. 135(C).
    15. Adom, Philip Kofi & Insaidoo, Michael & Minlah, Michael Kaku & Abdallah, Abdul-Mumuni, 2017. "Does renewable energy concentration increase the variance/uncertainty in electricity prices in Africa?," Renewable Energy, Elsevier, vol. 107(C), pages 81-100.
    16. Pinho, Joana & Resende, Joana & Soares, Isabel, 2018. "Capacity investment in electricity markets under supply and demand uncertainty," Energy, Elsevier, vol. 150(C), pages 1006-1017.
    17. Pradhan, Ashis Kumar & Rout, Sandhyarani & Khan, Imran Ahmed, 2021. "Does market concentration affect wholesale electricity prices? An analysis of the Indian electricity sector in the COVID-19 pandemic context," Utilities Policy, Elsevier, vol. 73(C).
    18. Juan Ignacio Pe~na & Rosa Rodriguez, 2022. "Are EU Climate and Energy Package 20-20-20 targets achievable and compatible? Evidence from the impact of renewables on electricity prices," Papers 2202.01720, arXiv.org.
    19. Clò, Stefano & Cataldi, Alessandra & Zoppoli, Pietro, 2015. "The merit-order effect in the Italian power market: The impact of solar and wind generation on national wholesale electricity prices," Energy Policy, Elsevier, vol. 77(C), pages 79-88.
    20. Clò, Stefano & D'Adamo, Gaetano, 2015. "The dark side of the sun: How solar power production affects the market value of solar and gas sources," Energy Economics, Elsevier, vol. 49(C), pages 523-530.

    More about this item

    Keywords

    Cost function; Econometrics; Power generation economics; Power system economics; Wind power generation;
    All these keywords.

    JEL classification:

    • D0 - Microeconomics - - General
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    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:eee:renene:v:75:y:2015:i:c:p:468-473. 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.journals.elsevier.com/renewable-energy .

    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.