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Understanding the Determinants of Electricity Prices and the Impact of the German Nuclear Moratorium in 2011

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  • Thoenes, Stefan

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

Abstract

This paper shows how the effect of fuel prices varies with the level of electricity demand. It analyzes the relationship between daily prices of electricity, natural gas and carbon emission allowances with a vector error correction model and a semiparametric varying smooth coef- ficient model. The results indicate that the electricity price adapts to fuel price changes in a long-term cointegration relationship. Different electricity generation technologies have distinct fuel price dependencies, which allows estimating the structure of the power plant portfolio by exploiting market prices. The semiparametric model indicates a technology switch from coal to gas at roughly 85% of maximum demand. It is used to analyze the market impact of the nuclear moratorium by the German Government in March 2011. Futures prices show that the market efficiently accounts for the suspended capacity and expects that several nuclear plants will not be switched on after the moratorium.

Suggested Citation

  • Thoenes, Stefan, 2011. "Understanding the Determinants of Electricity Prices and the Impact of the German Nuclear Moratorium in 2011," EWI Working Papers 2011-6, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    • Handle: RePEc:ris:ewikln:2011_006
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    References listed on IDEAS

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    Cited by:

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    2. Goutte, Stéphane & Vassilopoulos, Philippe, 2019. "The value of flexibility in power markets," Energy Policy, Elsevier, vol. 125(C), pages 347-357.
    3. Lips Johannes, 2017. "Do They Still Matter? – Impact of Fossil Fuels on Electricity Prices in the Light of Increased Renewable Generation," Journal of Time Series Econometrics, De Gruyter, vol. 9(2), pages 1-30, July.
    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. Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2017. "An analysis of the decline of electricity spot prices in Europe: Who is to blame?," Energy Policy, Elsevier, vol. 107(C), pages 323-336.
    6. Grossi, Luigi & Heim, Sven & Waterson, Michael, 2017. "The impact of the German response to the Fukushima earthquake," Energy Economics, Elsevier, vol. 66(C), pages 450-465.
    7. Arthur Thomas & Olivier Massol & Benoît Sévi, 2019. "How are day-ahead prices informative for predicting the next day’s consumption of natural gas?," Post-Print hal-04319396, HAL.
    8. Georg Wolff & Stefan Feuerriegel, 2019. "Emissions Trading System of the European Union: Emission Allowances and EPEX Electricity Prices in Phase III," Energies, MDPI, vol. 12(15), pages 1-15, July.
    9. Lips, Johannes, 2016. "Do they still matter? – Impact of Fossil Fuels on Electricity Prices in the Light of Increased Renewable Generation," VfS Annual Conference 2016 (Augsburg): Demographic Change 145601, Verein für Socialpolitik / German Economic Association.
    10. Lynch, Arthur & Perez, Yannick & Gabriel, Sophie & Mathonniere, Gilles, 2022. "Nuclear fleet flexibility: Modeling and impacts on power systems with renewable energy," Applied Energy, Elsevier, vol. 314(C).

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    More about this item

    Keywords

    Electricity Market; Merit Order; Cointegration; Varying Coefficient; Nuclear Moratorium;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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