IDEAS home Printed from https://ideas.repec.org/p/ris/ewikln/2012_007.html
   My bibliography  Save this paper

The influence of spatial effects on wind power revenues under direct marketing rules

Author

Listed:
  • Grothe, Oliver

    () (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

  • Müsgens, Felix

    () (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

Abstract

In many countries worldwide, investment in renewable technologies has been accelerated by the introduction of fixed feed-in tariffs for electricity from renewable energy sources (RES). While fixed tariffs accomplish this purpose, they lack incentives to align the RES production with price signals. Today, due to a growing proportion of renewable electricity, the intermittency of most RES increases the volatility of electricity prices and might even prevent market clearing. Therefore, support schemes for RES have to be modified. Recently, Germany launched a market premium model which gives wind power operators the monthly choice to either receive a fixed feed-in tariff or to risk a - subsided - access to the wholesale electricity market. This paper quantifies the revenues of wind turbines under this new model and, in particular, analyzes whether, when and where producers may profit. We find that the position of the wind turbine within the country significantly influences revenues. The results are of interest and importance for wind farm operators deciding whether electricity should be sold in the fixed tariff or in the wholesale market.

Suggested Citation

  • Grothe, Oliver & Müsgens, Felix, 2012. "The influence of spatial effects on wind power revenues under direct marketing rules," EWI Working Papers 2012-7, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  • Handle: RePEc:ris:ewikln:2012_007
    as

    Download full text from publisher

    File URL: http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_12-07_Influence_spatial_effects.pdf
    File Function: Full text
    Download Restriction: no

    References listed on IDEAS

    as
    1. Pierre Desrochers, 2008. "Did the Invisible Hand Need a Regulatory Glove to Develop a Green Thumb? Some Historical Perspective on Market Incentives, Win-Win Innovations and the Porter Hypothesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(4), pages 519-539, December.
    2. António Marques & José Fuinhas & José Manso, 2011. "A Quantile Approach to Identify Factors Promoting Renewable Energy in European Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(3), pages 351-366, July.
    3. Grothe, Oliver & Schnieders, Julius, 2011. "Spatial dependence in wind and optimal wind power allocation: A copula-based analysis," Energy Policy, Elsevier, vol. 39(9), pages 4742-4754, September.
    4. Katzenstein, Warren & Fertig, Emily & Apt, Jay, 2010. "The variability of interconnected wind plants," Energy Policy, Elsevier, vol. 38(8), pages 4400-4410, August.
    5. Lipp, Judith, 2007. "Lessons for effective renewable electricity policy from Denmark, Germany and the United Kingdom," Energy Policy, Elsevier, vol. 35(11), pages 5481-5495, November.
    6. 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.
    7. Mulder, Arjen, 2008. "Do economic instruments matter? Wind turbine investments in the EU(15)," Energy Economics, Elsevier, vol. 30(6), pages 2980-2991, November.
    8. Cansino, José M. & Pablo-Romero, María del P. & Román, Rocío & Yñiguez, Rocío, 2010. "Tax incentives to promote green electricity: An overview of EU-27 countries," Energy Policy, Elsevier, vol. 38(10), pages 6000-6008, October.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Wind Power; Market Premium Model; Optimal Areas of Production;

    JEL classification:

    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

    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:ewikln:2012_007. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sabine Williams). General contact details of provider: http://edirc.repec.org/data/ewikode.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.