IDEAS home Printed from https://ideas.repec.org/p/ris/fcnwpa/2017_018.html
   My bibliography  Save this paper

High Taxes on Cloudy Days: Dynamic State-Induced Price Components in Power Markets

Author

Listed:

Abstract

In most European countries, taxes and levies, the state-induced components of electricity prices, constitute the major share of electricity prices for consumers and are charged at a fixed rate. This study analyzes whether switching stateinduced price components to time varying rates can support the integration of variable renewables (VRE) and, thus, help to efficiently achieve the overarching goal of decarbonizing the energy system. Based on game theory and linear programming, we introduce a novel simulation model of the power market. For a quantitative case study, the model is parametrized to represent a German energy system that meets the political objective to increase the share of renewables (RE) in power generation to 80% in 2050. We find that dynamization supports the integration of VRE into the energy system. Whether dynamization is an efficient instrument to promote decarbonization as well is highly dependent on the policy framework in place.

Suggested Citation

  • Göke, Leonard & Madlener, Reinhard, 2017. "High Taxes on Cloudy Days: Dynamic State-Induced Price Components in Power Markets," FCN Working Papers 18/2017, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised 01 May 2020.
    • Handle: RePEc:ris:fcnwpa:2017_018
    as

    Download full text from publisher

    File URL: https://www.fcn.eonerc.rwth-aachen.de/global/show_document.asp?id=aaaaaaaaaokgndw
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kalkuhl, Matthias & Edenhofer, Ottmar & Lessmann, Kai, 2013. "Renewable energy subsidies: Second-best policy or fatal aberration for mitigation?," Resource and Energy Economics, Elsevier, vol. 35(3), pages 217-234.
    2. Severin Borenstein & Stephen Holland, 2005. "On the Efficiency of Competitive Electricity Markets with Time-Invariant Retail Prices," RAND Journal of Economics, The RAND Corporation, vol. 36(3), pages 469-493, Autumn.
    3. Edenhofer, Ottmar & Hirth, Lion & Knopf, Brigitte & Pahle, Michael & Schlömer, Steffen & Schmid, Eva & Ueckerdt, Falko, 2013. "On the economics of renewable energy sources," Energy Economics, Elsevier, vol. 40(S1), pages 12-23.
    4. Abbott, Malcolm, 2001. "Is the Security of Electricity Supply a Public Good?," The Electricity Journal, Elsevier, vol. 14(7), pages 31-33.
    5. Severin Borenstein, 2005. "The Long-Run Efficiency of Real-Time Electricity Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 93-116.
    6. Brouwer, Anne Sjoerd & van den Broek, Machteld & Zappa, William & Turkenburg, Wim C. & Faaij, André, 2016. "Least-cost options for integrating intermittent renewables in low-carbon power systems," Applied Energy, Elsevier, vol. 161(C), pages 48-74.
    7. Xavier Labandeira & Pedro Linares, 2010. "Second-best instruments for energy and climate policy," Working Papers 06-2010, Economics for Energy.
    8. Ueckerdt, Falko & Hirth, Lion & Luderer, Gunnar & Edenhofer, Ottmar, 2013. "System LCOE: What are the costs of variable renewables?," Energy, Elsevier, vol. 63(C), pages 61-75.
    9. Lori Bennear & Robert Stavins, 2007. "Second-best theory and the use of multiple policy instruments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 111-129, May.
    10. Lion Hirth, Falko Ueckerdt, and Ottmar Edenhofer, 2016. "Why Wind Is Not Coal: On the Economics of Electricity Generation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    11. Richter, Jan, 2011. "DIMENSION - A Dispatch and Investment Model for European Electricity Markets," EWI Working Papers 2011-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    12. Growitsch Christian & Malischek Raimund & Nick Sebastian & Wetzel Heike, 2015. "The Costs of Power Interruptions in Germany: A Regional and Sectoral Analysis," German Economic Review, De Gruyter, vol. 16(3), pages 307-323, August.
    13. Sioshansi, Ramteen, 2014. "When energy storage reduces social welfare," Energy Economics, Elsevier, vol. 41(C), pages 106-116.
    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. Specht, Jan Martin & Madlener, Reinhard, 2018. "Business Models for Energy Suppliers Aggregating Flexible Distributed Assets and Policy Issues Raised," FCN Working Papers 7/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    2. Pereira, Guillermo Ivan & Specht, Jan Martin & Silva, Patrícia Pereira & Madlener, Reinhard, 2018. "Technology, business model, and market design adaptation toward smart electricity distribution: Insights for policy making," Energy Policy, Elsevier, vol. 121(C), pages 426-440.
    3. Heesen, Florian & Madlener, Reinhard, 2021. "Revisiting heat energy consumption modeling: Household production theory applied to field experimental data," Energy Policy, Elsevier, vol. 158(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. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    2. Alexandra G. Papadopoulou & George Vasileiou & Alexandros Flamos, 2020. "A Comparison of Dispatchable RES Technoeconomics: Is There a Niche for Concentrated Solar Power?," Energies, MDPI, vol. 13(18), pages 1-22, September.
    3. repec:diw:diwwpp:dp1621 is not listed on IDEAS
    4. Xu, Jie & Lv, Tao & Hou, Xiaoran & Deng, Xu & Liu, Feng, 2021. "Provincial allocation of renewable portfolio standard in China based on efficiency and fairness principles," Renewable Energy, Elsevier, vol. 179(C), pages 1233-1245.
    5. Bigerna, Simona & Hagspiel, Verena & Kort, Peter M. & Wen, Xingang, 2023. "How damaging are environmental policy targets in terms of welfare?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 354-372.
    6. Sijm, Jos & Lehmann, Paul & Chewpreecha, Unnada & Gawel, Erik & Mercure, Jean-Francois & Pollitt, Hector & Strunz, Sebastian, 2014. "EU climate and energy policy beyond 2020: Are additional targets and instruments for renewables economically reasonable?," UFZ Discussion Papers 3/2014, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    7. Romeiro, Diogo Lisbona & Almeida, Edmar Luiz Fagundes de & Losekann, Luciano, 2020. "Systemic value of electricity sources – What we can learn from the Brazilian experience?," Energy Policy, Elsevier, vol. 138(C).
    8. Hirth, Lion, 2016. "The benefits of flexibility: The value of wind energy with hydropower," Applied Energy, Elsevier, vol. 181(C), pages 210-223.
    9. Andor, Mark & Voss, Achim, 2016. "Optimal renewable-energy promotion: Capacity subsidies vs. generation subsidies," Resource and Energy Economics, Elsevier, vol. 45(C), pages 144-158.
    10. Ruhnau, Oliver, 2022. "How flexible electricity demand stabilizes wind and solar market values: The case of hydrogen electrolyzers," Applied Energy, Elsevier, vol. 307(C).
    11. Díaz, Guzmán & Coto, José & Gómez-Aleixandre, Javier, 2019. "Levelized income loss as a metric of the adaptation of wind and energy storage to variable prices," Applied Energy, Elsevier, vol. 238(C), pages 1179-1191.
    12. 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).
    13. repec:zbw:rwirep:0473 is not listed on IDEAS
    14. Schreiner, Lena & Madlener, Reinhard, 2022. "Investing in power grid infrastructure as a flexibility option: A DSGE assessment for Germany," Energy Economics, Elsevier, vol. 107(C).
    15. Carsten Helm & Mathias Mier, 2020. "Steering the Energy Transition in a World of Intermittent Electricity Supply: Optimal Subsidies and Taxes for Renewables Storage," ifo Working Paper Series 330, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    16. Simshauser, P., 2019. "On the impact of government-initiated CfD’s in Australia’s National Electricity Market," Cambridge Working Papers in Economics 1901, Faculty of Economics, University of Cambridge.
    17. Mattias Vesterberg and Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    18. Helm, Carsten & Mier, Mathias, 2021. "Steering the energy transition in a world of intermittent electricity supply: Optimal subsidies and taxes for renewables and storage," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    19. Gambardella, Christian & Pahle, Michael, 2018. "Time-varying electricity pricing and consumer heterogeneity: Welfare and distributional effects with variable renewable supply," Energy Economics, Elsevier, vol. 76(C), pages 257-273.
    20. Graff Zivin, Joshua S. & Kotchen, Matthew J. & Mansur, Erin T., 2014. "Spatial and temporal heterogeneity of marginal emissions: Implications for electric cars and other electricity-shifting policies," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 248-268.
    21. Klie, Leo & Madlener, Reinhard, 2022. "Optimal configuration and diversification of wind turbines: A hybrid approach to improve the penetration of wind power," Energy Economics, Elsevier, vol. 105(C).
    22. Pedro Linares & Xavier Labandeira, 2010. "Energy Efficiency: Economics And Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 24(3), pages 573-592, July.

    More about this item

    Keywords

    Dynamization; Climate policy; Variable renewables; Integration costs; Welfare analysis; Energy market model;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • 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

    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:ris:fcnwpa:2017_018. 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: Hendrik Schmitz (email available below). General contact details of provider: https://edirc.repec.org/data/fceonde.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.