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Renewable energy and electricity prices: indirect empirical evidence from hydro power

Author

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  • Ronald Huisman

    (Erasmus School of Economics & IEB)

  • Victoria Stradnic

    (Erasmus School of Economics)

  • Sjur Westgaard

    (Norwegian University of Science and Technology)

Abstract

Many countries have introduced policies to stimulate the production of electricity in a sustainable or renewable way. Theoretical and simulation studies provide evidence that the introduction of renewable energy promotion policies lead to lower electricity prices as sustainable energy supply as wind and solar have very low or even zero marginal costs. Empirical support for this result is relatively scarce. The motivation for this study is to provide additional empirical evidence on how the growth of low marginal costs renewable energy supply such as wind and solar influences power prices. We do so indirectly studying Nord Pool market prices where hydro power is the dominant supply source. We argue that the marginal costs of hydro production varies depending on reservoir levels that determine hydro production capacity. Hydro power producers have an option to produce or to delay production and the value of the option to delay increases when the reservoir levels decrease and the option to delay decreases in value when reservoir levels increase and producers face the risk of spillovers. Hence, an increase in reservoir levels mimics the situation of an increase of low marginal costs renewable energy in a market. Our results show that higher reservoir levels, more hydro capacity, lead to significant lower power prices. From this we conclude that an increase in low marginal costs renewable power supply reduces the power prices. The second contribution of this paper is that we develop a market clearing price model by modelling the supply curve of power that varies over time depending on fundamentals such as hydro capacity and the prices of alternative power sources and that deals with maximum prices which apply to all power markets that we know. With our result, we strengthen support for the view that an increase in wind and solar supply lowers the power price. This is good news for consumers, but it increases the costs of sustainable energy policies such as feed-in tariffs and at the same time lowers revenues and profits for power producers in case governments would abandon such policies. This effect makes the economic and policy support for renewable energy less sustainable. Policy makers have to account for this if they want to stimulate a sustainable growth of sustainable energy supply.

Suggested Citation

  • Ronald Huisman & Victoria Stradnic & Sjur Westgaard, 2013. "Renewable energy and electricity prices: indirect empirical evidence from hydro power," Working Papers 2013/24, Institut d'Economia de Barcelona (IEB).
  • Handle: RePEc:ieb:wpaper:doc2013-24
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    References listed on IDEAS

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    Cited by:

    1. Lars Ivar Hagfors & Hilde Hørthe Kamperud & Florentina Paraschiv & Marcel Prokopczuk & Alma Sator & Sjur Westgaard, 2016. "Prediction of extreme price occurrences in the German day-ahead electricity market," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1929-1948, December.
    2. Mehtap Kilic & Elisa Trujillo-Baute, 2014. "The stabilizing effect of hydro reservoir levels on intraday power prices under wind forecast errors," Working Papers 2014/30, Institut d'Economia de Barcelona (IEB).
    3. Kartal, Mustafa Tevfik, 2022. "The role of consumption of energy, fossil sources, nuclear energy, and renewable energy on environmental degradation in top-five carbon producing countries," Renewable Energy, Elsevier, vol. 184(C), pages 871-880.
    4. Stein-Erik Fleten & Ronald Huisman & Mehtap Kilic & Enrico Pennings & Sjur Westgaard, 2014. "Electricity futures prices: time varying sensitivity to fundamentals," Working Papers 2014/21, Institut d'Economia de Barcelona (IEB).
    5. 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.
    6. Florian Ziel & Rick Steinert & Sven Husmann, 2014. "Efficient Modeling and Forecasting of the Electricity Spot Price," Papers 1402.7027, arXiv.org, revised Oct 2014.
    7. Mehtap Kilic & Elisa Trujillo-Baute, 2014. "The stabilizing effect of hydro reservoir levels on intraday power prices under wind forecast errors," Working Papers 2014/30, Institut d'Economia de Barcelona (IEB).
    8. Hasan Murat Ertuğrul & Mustafa Tevfik Kartal & Serpil Kılıç Depren & Uğur Soytaş, 2022. "Determinants of Electricity Prices in Turkey: An Application of Machine Learning and Time Series Models," Energies, MDPI, vol. 15(20), pages 1-17, October.
    9. Dillig, Marius & Jung, Manuel & Karl, Jürgen, 2016. "The impact of renewables on electricity prices in Germany – An estimation based on historic spot prices in the years 2011–2013," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 7-15.
    10. Stein-Erik Fleten & Ronald Huisman & Mehtap Kilic & Enrico Pennings & Sjur Westgaard, 2014. "Electricity futures prices: time varying sensitivity to fundamentals," Working Papers 2014/21, Institut d'Economia de Barcelona (IEB).
    11. Paraschiv, Florentina & Erni, David & Pietsch, Ralf, 2014. "The impact of renewable energies on EEX day-ahead electricity prices," Energy Policy, Elsevier, vol. 73(C), pages 196-210.
    12. Ziel, Florian & Steinert, Rick & Husmann, Sven, 2015. "Efficient modeling and forecasting of electricity spot prices," Energy Economics, Elsevier, vol. 47(C), pages 98-111.
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    14. Kılıç Depren, Serpil & Kartal, Mustafa Tevfik & Ertuğrul, Hasan Murat & Depren, Özer, 2022. "The role of data frequency and method selection in electricity price estimation: Comparative evidence from Turkey in pre-pandemic and pandemic periods," Renewable Energy, Elsevier, vol. 186(C), pages 217-225.

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    More about this item

    Keywords

    Energy policies; sustainable energy; market clearing price; supply curve model.;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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