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The Impact of Wind Power Support Schemes on Technology Choices

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  • Nils May

Abstract

Germany changed renewable remuneration for wind power from a fixed Feed-In Tariff (FIT) to a floating Market Premium Scheme (MPS) in 2012. One aim of this adjustment was to better align the supply of generated wind electricity with the demand for it, e.g. through more system-friendly wind turbine technology choices. In energy systems with a high share of variable renewable energies, such turbines produce a higher share of their production at lower wind speeds and thus can reduce the need for alternative flexibility options like back-up capacity, storage, grid extensions and demand side measures. However, based on a wind power investment model, I show that the MPS fails to convey strong enough incentives to project developers to significantly alter their investment decisions as long as these base their investments on current electricity market price profiles and are limited by their access to risk-averse project finance. One reform proposal to support the installation of system-friendly turbines is a change in the production volume-based benchmark approach which plays an integral part in both the fixed FIT and the MPS. The investment model indicates that such a revised policy can incentivize the deployment of moderately more system-friendly wind power technologies at some locations. An alternative option is to shift to a production value-based benchmark approach. It directly reflects the future additional market value of system-friendly turbines in today's remuneration structure. Thus, this approach sets incentives also for investors without perfect foresight - or with financing constraints - to deploy more systemfriendly turbines that meet the requirements of power systems with increasing shares of wind power.

Suggested Citation

  • Nils May, 2015. "The Impact of Wind Power Support Schemes on Technology Choices," Discussion Papers of DIW Berlin 1485, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1485
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    References listed on IDEAS

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    1. Butler, Lucy & Neuhoff, Karsten, 2008. "Comparison of feed-in tariff, quota and auction mechanisms to support wind power development," Renewable Energy, Elsevier, vol. 33(8), pages 1854-1867.
    2. Cludius, Johanna & Hermann, Hauke & Matthes, Felix Chr. & Graichen, Verena, 2014. "The merit order effect of wind and photovoltaic electricity generation in Germany 2008–2016: Estimation and distributional implications," Energy Economics, Elsevier, vol. 44(C), pages 302-313.
    3. Gawel, Erik & Purkus, Alexandra, 2013. "Promoting the market and system integration of renewable energies through premium schemes: A case study of the German market premium," UFZ Discussion Papers 4/2013, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    4. Paul L. Joskow, 2011. "Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies," American Economic Review, American Economic Association, vol. 101(3), pages 238-241, May.
    5. 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.
    6. Grothe, Oliver & Müsgens, Felix, 2013. "The influence of spatial effects on wind power revenues under direct marketing rules," Energy Policy, Elsevier, vol. 58(C), pages 237-247.
    7. Schmidt, J. & Lehecka, G. & Gass, V. & Schmid, E., 2013. "Where the wind blows: Assessing the effect of fixed and premium based feed-in tariffs on the spatial diversification of wind turbines," Energy Economics, Elsevier, vol. 40(C), pages 269-276.
    8. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    9. Gawel, Erik & Purkus, Alexandra, 2013. "Promoting the market and system integration of renewable energies through premium schemes—A case study of the German market premium," Energy Policy, Elsevier, vol. 61(C), pages 599-609.
    10. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2008. "The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Energy Policy, Elsevier, vol. 36(8), pages 3076-3084, August.
    11. 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.
    12. Hirth, Lion & Müller, Simon, 2016. "System-friendly wind power," Energy Economics, Elsevier, vol. 56(C), pages 51-63.
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    More about this item

    Keywords

    Renewable Energies; Wind Power Technology; Feed-in Tariff; Project Finance; Market Premium;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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