IDEAS home Printed from https://ideas.repec.org/p/esr/wpaper/wp509.html
   My bibliography  Save this paper

The Impact of the North Atlantic Oscillation on Electricity Markets: A Case Study on Ireland

Author

Listed:
  • Curtis, John
  • Lynch, Muireann Á.
  • Zubiate, Laura

Abstract

The North Atlantic Oscillation (NAO) is a large-scale circulation pattern driving climate variability in north-western Europe. As the deployment of wind-powered generation expands on electricity networks across Europe the impacts of the NAO on the electricity system will be amplified. This study assesses the impact of NAO, via wind-power generation, on the electricity market considering thermal generation costs, wholesale electricity prices and wind generation subsidies. A Monte Carlo approach is used to model NAO phases and generate hourly wind speed time-series data, electricity demand and fuel input data. A least-cost unit commitment and economic dispatch model is used to simulate an island electricity system, modelled on the all-island Irish electricity system. The impact of NAO obviously depends on the level of wind capacity within an electricity system. Our results indicate that NAO phases can affect thermal generation costs by up to 8%, wholesale electricity prices by as much as ?1.5/MWh, and that wind power generators receive on average 12% higher remuneration.

Suggested Citation

  • Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2015. "The Impact of the North Atlantic Oscillation on Electricity Markets: A Case Study on Ireland," Papers WP509, Economic and Social Research Institute (ESRI).
  • Handle: RePEc:esr:wpaper:wp509
    as

    Download full text from publisher

    File URL: https://www.esri.ie/pubs/WP509.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lynch, Muireann Á. & Shortt, Aonghus & Tol, Richard S.J. & O'Malley, Mark J., 2013. "Risk–return incentives in liberalised electricity markets," Energy Economics, Elsevier, vol. 40(C), pages 598-608.
    2. Godby, Robert & Torell, Gregory L. & Coupal, Roger, 2014. "Estimating the value of additional wind and transmission capacity in the rocky mountain west," Resource and Energy Economics, Elsevier, vol. 36(1), pages 22-48.
    3. 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.
    4. 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.
    5. Riley,John G., 2012. "Essential Microeconomics," Cambridge Books, Cambridge University Press, number 9780521827478.
    6. Sailor, David J. & Muñoz, J.Ricardo, 1997. "Sensitivity of electricity and natural gas consumption to climate in the U.S.A.—Methodology and results for eight states," Energy, Elsevier, vol. 22(10), pages 987-998.
    7. Carapellucci, Roberto & Giordano, Lorena, 2013. "A methodology for the synthetic generation of hourly wind speed time series based on some known aggregate input data," Applied Energy, Elsevier, vol. 101(C), pages 541-550.
    8. Brayshaw, David James & Troccoli, Alberto & Fordham, Rachael & Methven, John, 2011. "The impact of large scale atmospheric circulation patterns on wind power generation and its potential predictability: A case study over the UK," Renewable Energy, Elsevier, vol. 36(8), pages 2087-2096.
    9. Niall Farrell, Mel T. Devine, William T. Lee, James P. Gleeson, and Sean Lyons, 2017. "Specifying An Efficient Renewable Energy Feed-in Tariff," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    10. 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.
    11. Adriaan Weijde & Benjamin Hobbs, 2011. "Locational-based coupling of electricity markets: benefits from coordinating unit commitment and balancing markets," Journal of Regulatory Economics, Springer, vol. 39(3), pages 223-251, June.
    12. Taylor, James W. & Buizza, Roberto, 2003. "Using weather ensemble predictions in electricity demand forecasting," International Journal of Forecasting, Elsevier, vol. 19(1), pages 57-70.
    13. Paul Deane, John FitzGerald, Laura Malaguzzi Valeri, Aidan Tuohy and Darragh Walsh, 2015. "Irish and British electricity prices: what recent history implies for future prices," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    14. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "Carbon dioxide (CO2) emissions from electricity: The influence of the North Atlantic Oscillation," Applied Energy, Elsevier, vol. 161(C), pages 487-496.
    15. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    16. Lion Hirth, 2013. "The Market Value of Variable Renewables. The Effect of Solar and Wind Power Variability on their Relative Price," RSCAS Working Papers 2013/36, European University Institute.
    17. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2014. "Short-term electricity planning with increase wind capacity," Energy, Elsevier, vol. 69(C), pages 12-22.
    18. 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.
    19. Chaudry, Modassar & Wu, Jianzhong & Jenkins, Nick, 2013. "A sequential Monte Carlo model of the combined GB gas and electricity network," Energy Policy, Elsevier, vol. 62(C), pages 473-483.
    20. Amor, Mourad Ben & Billette de Villemeur, Etienne & Pellat, Marie & Pineau, Pierre-Olivier, 2014. "Influence of wind power on hourly electricity prices and GHG (greenhouse gas) emissions: Evidence that congestion matters from Ontario zonal data," Energy, Elsevier, vol. 66(C), pages 458-469.
    21. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    22. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    23. Devine, Mel & Farrell, Niall & Lee, William, 2014. "Managing investor and consumer exposure to electricity market price risks through Feed-in Tariff design," MPRA Paper 59208, University Library of Munich, Germany.
    24. 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.
    25. Clancy, J.M. & Gaffney, F. & Deane, J.P. & Curtis, J. & Ó Gallachóir, B.P., 2015. "Fossil fuel and CO2 emissions savings on a high renewable electricity system – A single year case study for Ireland," Energy Policy, Elsevier, vol. 83(C), pages 151-164.
    26. Amor, Mourad Ben & Billette de Villemeur, Etienne & Pellat, Marie & Pineau, Pierre-Olivier, 2014. "Influence of wind power on hourly electricity prices and GHG emissions: Evidence that congestion matters from Ontario zonal data," MPRA Paper 53630, University Library of Munich, Germany.
    27. 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.
    28. Jessie Cherry & Heidi Cullen & Martin Visbeck & Arthur Small & Cintia Uvo, 2005. "Impacts of the North Atlantic Oscillation on Scandinavian Hydropower Production and Energy Markets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(6), pages 673-691, December.
    29. Ely, Caroline R. & Brayshaw, David J. & Methven, John & Cox, James & Pearce, Oliver, 2013. "Implications of the North Atlantic Oscillation for a UK–Norway Renewable power system," Energy Policy, Elsevier, vol. 62(C), pages 1420-1427.
    30. Lynch & John Curtis, 2016. "The effects of wind generation capacity on electricity prices and generation costs: a Monte Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 48(2), pages 133-151, January.
    31. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
    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. 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. Villa-Loaiza, Carlos & Taype-Huaman, Irvin & Benavides-Franco, Julián & Buenaventura-Vera, Guillermo & Carabalí-Mosquera, Jaime, 2023. "Does climate impact the relationship between the energy price and the stock market? The Colombian case," Applied Energy, Elsevier, vol. 336(C).
    3. Commin, Andrew N. & French, Andrew S. & Marasco, Matteo & Loxton, Jennifer & Gibb, Stuart W. & McClatchey, John, 2017. "The influence of the North Atlantic Oscillation on diverse renewable generation in Scotland," Applied Energy, Elsevier, vol. 205(C), pages 855-867.
    4. Plaga, Leonie Sara & Bertsch, Valentin, 2023. "Methods for assessing climate uncertainty in energy system models — A systematic literature review," Applied Energy, Elsevier, vol. 331(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. Lynch & John Curtis, 2016. "The effects of wind generation capacity on electricity prices and generation costs: a Monte Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 48(2), pages 133-151, January.
    2. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "Carbon dioxide (CO2) emissions from electricity: The influence of the North Atlantic Oscillation," Applied Energy, Elsevier, vol. 161(C), pages 487-496.
    3. 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.
    4. Sirin, Selahattin Murat & Yilmaz, Berna N., 2020. "Variable renewable energy technologies in the Turkish electricity market: Quantile regression analysis of the merit-order effect," Energy Policy, Elsevier, vol. 144(C).
    5. 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.
    6. Thao Pham & Killian Lemoine, 2020. "Impacts of subsidized renewable electricity generation on spot market prices in Germany : Evidence from a GARCH model with panel data," Working Papers hal-02568268, HAL.
    7. 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.
    8. Winkler, Jenny & Gaio, Alberto & Pfluger, Benjamin & Ragwitz, Mario, 2016. "Impact of renewables on electricity markets – Do support schemes matter?," Energy Policy, Elsevier, vol. 93(C), pages 157-167.
    9. Auer, Benjamin R., 2016. "How does Germany's green energy policy affect electricity market volatility? An application of conditional autoregressive range models," Energy Policy, Elsevier, vol. 98(C), pages 621-628.
    10. Kath, Christopher & Ziel, Florian, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Energy Economics, Elsevier, vol. 76(C), pages 411-423.
    11. 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.
    12. Krishnamurthy, Chandra Kiran B. & Vesterberg, Mattias & Böök, Herman & Lindfors, Anders V. & Svento, Rauli, 2018. "Real-time pricing revisited: Demand flexibility in the presence of micro-generation," Energy Policy, Elsevier, vol. 123(C), pages 642-658.
    13. Macedo, Daniela Pereira & Marques, António Cardoso & Damette, Olivier, 2020. "The impact of the integration of renewable energy sources in the electricity price formation: is the Merit-Order Effect occurring in Portugal?," Utilities Policy, Elsevier, vol. 66(C).
    14. 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.
    15. 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.
    16. Jain, Sourabh & Shrimali, Gireesh, 2022. "Impact of renewable electricity on utility finances: Assessing merit order effect for an Indian utility," Energy Policy, Elsevier, vol. 168(C).
    17. Mulder, Machiel & Scholtens, Bert, 2016. "A plant-level analysis of the spill-over effects of the German Energiewende," Applied Energy, Elsevier, vol. 183(C), pages 1259-1271.
    18. Commin, Andrew N. & French, Andrew S. & Marasco, Matteo & Loxton, Jennifer & Gibb, Stuart W. & McClatchey, John, 2017. "The influence of the North Atlantic Oscillation on diverse renewable generation in Scotland," Applied Energy, Elsevier, vol. 205(C), pages 855-867.
    19. Savelli, Iacopo & Hardy, Jeffrey & Hepburn, Cameron & Morstyn, Thomas, 2022. "Putting wind and solar in their place: Internalising congestion and other system-wide costs with enhanced contracts for difference in Great Britain," Energy Economics, Elsevier, vol. 113(C).
    20. Odeh, Rodrigo Pérez & Watts, David, 2019. "Impacts of wind and solar spatial diversification on its market value: A case study of the Chilean electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 442-461.

    More about this item

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:esr:wpaper:wp509. 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: Sarah Burns (email available below). General contact details of provider: https://edirc.repec.org/data/esriiie.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.