IDEAS home Printed from https://ideas.repec.org/p/ris/ewikln/2017_009.html
   My bibliography  Save this paper

Build Wind Capacities at Windy Locations? Assessment of System Optimal Wind Locations

Author

Listed:
  • Obermüller, Frank

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI))

Abstract

In recent years, the installed capacities of renewable energies have steadily been increasing. This raises the question for optimal locations of renewables. Ideally, the market prices induce efficient locations. Distorting effects, i.e. non incorporation of the physical grid situations, could lead to sub-optimal regional incentives compared to a system optimal perspective. In this paper, the wind production revenues under nodal and zonal pricing are investigated. The analysis is extended to the widely used wind value factor. The analysis identifies the zonal pricing wind revenues as inefficient location signals. Location signals need to consider the grid situations. Wind revenues could face an average increase of 21% and more than 200% for certain locations. This is highly relevant to design efficient subsidy schemes or to identify regional grid and capacity extension necessities.

Suggested Citation

  • Obermüller, Frank, 2017. "Build Wind Capacities at Windy Locations? Assessment of System Optimal Wind Locations," EWI Working Papers 2017-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  • Handle: RePEc:ris:ewikln:2017_009
    as

    Download full text from publisher

    File URL: https://www.ewi.uni-koeln.de/cms/wp-content/uploads/2017/09/EWI_WP_17-09_Build_Wind_Capacities_at_Windy_Locations.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pechan, A., 2017. "Where do all the windmills go? Influence of the institutional setting on the spatial distribution of renewable energy installation," Energy Economics, Elsevier, vol. 65(C), pages 75-86.
    2. 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.
    3. Egerer, Jonas & Weibezahn, Jens & Hermann, Hauke, 2016. "Two price zones for the German electricity market — Market implications and distributional effects," Energy Economics, Elsevier, vol. 59(C), pages 365-381.
    4. Roques, Fabien & Hiroux, Céline & Saguan, Marcelo, 2010. "Optimal wind power deployment in Europe--A portfolio approach," Energy Policy, Elsevier, vol. 38(7), pages 3245-3256, July.
    5. Hirth, Lion & Müller, Simon, 2016. "System-friendly wind power," Energy Economics, Elsevier, vol. 56(C), pages 51-63.
    6. Friedrich Kunz, 2013. "Improving Congestion Management: How to Facilitate the Integration of Renewable Generation in Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    8. Lamont, Alan D., 2008. "Assessing the long-term system value of intermittent electric generation technologies," Energy Economics, Elsevier, vol. 30(3), pages 1208-1231, May.
    9. Grothe, Oliver & Schnieders, Julius, 2011. "Spatial Dependence in Wind and Optimal Wind Power Allocation: A Copula Based Analysis," EWI Working Papers 2011-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    10. 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.
    11. 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.
    12. Burstedde, Barbara, 2012. "From Nodal to Zonal Pricing - A Bottom-Up Approach to the Second-Best," EWI Working Papers 2012-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    13. 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.
    14. Couture, Toby & Gagnon, Yves, 2010. "An analysis of feed-in tariff remuneration models: Implications for renewable energy investment," Energy Policy, Elsevier, vol. 38(2), pages 955-965, February.
    15. Chao, Hung-po & Peck, Stephen & Oren, Shmuel & Wilson, Robert, 2000. "Flow-Based Transmission Rights and Congestion Management," The Electricity Journal, Elsevier, vol. 13(8), pages 38-58, October.
    16. Joachim Bertsch & Simeon Hagspiel & Lisa Just, 2016. "Congestion management in power systems," Journal of Regulatory Economics, Springer, vol. 50(3), pages 290-327, December.
    17. Elberg, Christina & Hagspiel, Simeon, 2015. "Spatial dependencies of wind power and interrelations with spot price dynamics," European Journal of Operational Research, Elsevier, vol. 241(1), pages 260-272.
    18. Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany," Utilities Policy, Elsevier, vol. 16(4), pages 284-291, December.
    19. Richard Green, 2007. "Nodal pricing of electricity: how much does it cost to get it wrong?," Journal of Regulatory Economics, Springer, vol. 31(2), pages 125-149, April.
    20. Wagner, Johannes, 2016. "Grid Investment and Support Schemes for Renewable Electricity Generation," EWI Working Papers 2016-8, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 10 Aug 2017.
    21. Hirth, Lion, 2016. "The benefits of flexibility: The value of wind energy with hydropower," Applied Energy, Elsevier, vol. 181(C), pages 210-223.
    22. Lion Hirth, 2013. "The Market Value of Variable Renewables. The Effect of Solar and Wind Power Variability on their Relative Price," RSCAS Working Papers 2013/36, European University Institute.
    23. Bjørndal, Mette & Jörnsten, Kurt, 2008. "Equilibrium prices supported by dual price functions in markets with non-convexities," European Journal of Operational Research, Elsevier, vol. 190(3), pages 768-789, November.
    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. 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).
    2. Klie, Leo & Madlener, Reinhard, 2024. "Concentration versus diversification: A spatial deployment approach to improve the economics of wind power," Energy Policy, Elsevier, vol. 185(C).
    3. Meus, Jelle & Van den Bergh, Kenneth & Delarue, Erik & Proost, Stef, 2019. "On international renewable cooperation mechanisms: The impact of national RES-E support schemes," Energy Economics, Elsevier, vol. 81(C), pages 859-873.
    4. Du, Yimeng & Takeuchi, Kenji, 2020. "Does a small difference make a difference? Impact of feed-in tariff on renewable power generation in China," Energy Economics, Elsevier, vol. 87(C).
    5. Klie, Leo & Madlener, Reinhard, 2020. "Concentration Versus Diversification: A Spatial Deployment Approach to Improve the Economics of Wind Power," FCN Working Papers 2/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2021.
    6. Schmidt, Lukas & Zinke, Jonas, 2020. "One price fits all? Wind power expansion under uniform and nodal pricing in Germany," EWI Working Papers 2020-6, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).

    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. Paul Simshauser & Farhad Billimoria & Craig Rogers, 2021. "Optimising VRE plant capacity in Renewable Energy Zones," Working Papers EPRG2121, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    2. 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).
    3. Eising, Manuel & Hobbie, Hannes & Möst, Dominik, 2020. "Future wind and solar power market values in Germany — Evidence of spatial and technological dependencies?," Energy Economics, Elsevier, vol. 86(C).
    4. Jägemann, Cosima, 2014. "An illustrative note on the system price effect of wind and solar power - The German case," EWI Working Papers 2014-10, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    5. Klie, Leo & Madlener, Reinhard, 2020. "Concentration Versus Diversification: A Spatial Deployment Approach to Improve the Economics of Wind Power," FCN Working Papers 2/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2021.
    6. Odeh, Rodrigo Pérez & Watts, David, 2019. "Impacts of wind and solar spatial diversification on its market value: A case study of the Chilean electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 442-461.
    7. Engelhorn, Thorsten & Müsgens, Felix, 2021. "Why is Germany’s energy transition so expensive? Quantifying the costs of wind-energy decentralisation," Resource and Energy Economics, Elsevier, vol. 65(C).
    8. Brown, T. & Reichenberg, L., 2021. "Decreasing market value of variable renewables can be avoided by policy action," Energy Economics, Elsevier, vol. 100(C).
    9. Ruhnau, Oliver & Hirth, Lion & Praktiknjo, Aaron, 2020. "Heating with wind: Economics of heat pumps and variable renewables," Energy Economics, Elsevier, vol. 92(C).
    10. Simshauser, Paul, 2021. "Renewable Energy Zones in Australia's National Electricity Market," Energy Economics, Elsevier, vol. 101(C).
    11. Simshauser, Paul & Billimoria, Farhad & Rogers, Craig, 2022. "Optimising VRE capacity in Renewable Energy Zones," Energy Economics, Elsevier, vol. 113(C).
    12. 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).
    13. Ruhnau, Oliver, 2022. "How flexible electricity demand stabilizes wind and solar market values: The case of hydrogen electrolyzers," Applied Energy, Elsevier, vol. 307(C).
    14. Karhinen, Santtu & Huuki, Hannu, 2020. "How are the long distances between renewable energy sources and load centres reflected in locational marginal prices?," Energy, Elsevier, vol. 210(C).
    15. Steinhäuser, J. Micha & Eisenack, Klaus, 2020. "How market design shapes the spatial distribution of power plant curtailment costs," Energy Policy, Elsevier, vol. 144(C).
    16. Hirth, Lion & Müller, Simon, 2016. "System-friendly wind power," Energy Economics, Elsevier, vol. 56(C), pages 51-63.
    17. Ruhnau, Oliver, 2020. "Market-based renewables: How flexible hydrogen electrolyzers stabilize wind and solar market values," EconStor Preprints 227075, ZBW - Leibniz Information Centre for Economics.
    18. Engelhorn, Thorsten & Müsgens, Felix, 2018. "How to estimate wind-turbine infeed with incomplete stock data: A general framework with an application to turbine-specific market values in Germany," Energy Economics, Elsevier, vol. 72(C), pages 542-557.
    19. Ambrosius, Mirjam & Grimm, Veronika & Kleinert, Thomas & Liers, Frauke & Schmidt, Martin & Zöttl, Gregor, 2020. "Endogenous price zones and investment incentives in electricity markets: An application of multilevel optimization with graph partitioning," Energy Economics, Elsevier, vol. 92(C).
    20. Bernath, Christiane & Deac, Gerda & Sensfuß, Frank, 2021. "Impact of sector coupling on the market value of renewable energies – A model-based scenario analysis," Applied Energy, Elsevier, vol. 281(C).

    More about this item

    Keywords

    Optimal Wind Locations; Wind Production; Market Revenues; Market Value; Electricity System Model; Nodal Pricing; Zonal Pricing;
    All these keywords.

    JEL classification:

    • 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:ewikln:2017_009. 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: Sabine Williams (email available below). General contact details of provider: https://edirc.repec.org/data/ewikode.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.