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Supply Curves for Hydro Reservoirs - Estimation and Usage in Large-Scale Electricity Market Models

Author

Listed:
  • Christopher Jahns
  • Caroline Podewski
  • Christoph Weber

    (Chair for Management Sciences and Energy Economics, University of Duisburg-Essen (Campus Essen))

Abstract

Hydro electricity generation is of great importance for the current and the future electricity system since it provides electricity without emitting CO2 and moreover hydro reservoirs offer high operational flexibility. With increasing shares of fluctuating renewable energies, their value is even expected to increase, as – depending on the power plant type – they are able to store electricity. Therefore, an adequate representation of hydro power operation in large-scale electricity models is primordial. The aim of this paper is to analyze empirically the operation of large-scale hydro reservoirs based on observed market data. We derive supply curves for hydro reservoirs in Norway based on electricity price and hydro production time series and analyze key influencing factors. To push further, we apply the resulting supply curves in a multi-region electricity market model and show how they may be used to perform historical and counterfactual simulations.

Suggested Citation

  • Christopher Jahns & Caroline Podewski & Christoph Weber, "undated". "Supply Curves for Hydro Reservoirs - Estimation and Usage in Large-Scale Electricity Market Models," EWL Working Papers 1901, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
  • Handle: RePEc:dui:wpaper:1901
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    File URL: https://www.wiwi.uni-due.de/fileadmin/fileupload/BWL-ENERGIE/Arbeitspapiere/RePEc/pdf/wp1901_SupplyCurvesforHydroReservoirs.pdf
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    References listed on IDEAS

    as
    1. Richard Green and Nicholas Vasilakos, 2012. "Storing Wind for a Rainy Day: What Kind of Electricity Does Denmark Export?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    2. Sandsmark, Maria & Tennbakk, Berit, 2010. "Ex post monitoring of market power in hydro dominated electricity markets," Energy Policy, Elsevier, vol. 38(3), pages 1500-1509, March.
    3. Trepper, Katrin & Bucksteeg, Michael & Weber, Christoph, 2015. "Market splitting in Germany – New evidence from a three-stage numerical model of Europe," Energy Policy, Elsevier, vol. 87(C), pages 199-215.
    4. Wolfgang, Ove & Haugstad, Arne & Mo, Birger & Gjelsvik, Anders & Wangensteen, Ivar & Doorman, Gerard, 2009. "Hydro reservoir handling in Norway before and after deregulation," Energy, Elsevier, vol. 34(10), pages 1642-1651.
    5. Hirth, Lion, 2016. "The benefits of flexibility: The value of wind energy with hydropower," Applied Energy, Elsevier, vol. 181(C), pages 210-223.
    6. Spiecker, Stephan & Vogel, Philip & Weber, Christoph, 2013. "Evaluating interconnector investments in the north European electricity system considering fluctuating wind power penetration," Energy Economics, Elsevier, vol. 37(C), pages 114-127.
    7. Tuohy, Aidan & Meibom, Peter & Denny, Eleanor & O'Malley, Mark, 2009. "Unit commitment for systems with significant wind penetration," MPRA Paper 34849, University Library of Munich, Germany.
    8. Bjoern Felten & Jan Paul Baginski & Christoph Weber, 2017. "KWK-Mindest- und Maximaleinspeisung - Die Erzeugung von Zeitreihen fuer die Energiesystemmodellierung," EWL Working Papers 1710, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Dec 2017.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Felten, Björn, 2020. "An integrated model of coupled heat and power sectors for large-scale energy system analyses," Applied Energy, Elsevier, vol. 266(C).

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    More about this item

    Keywords

    hydropower; water value; Econometric models; large-scale electricity market models;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • 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

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