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System-friendly wind power

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  • Hirth, Lion
  • Müller, Simon

Abstract

Previous studies find that the economic value of electricity (USD/MWh) generated by wind power drops with increasing market share. Different measures can help mitigate the value drop, including electricity storage, flexible conventional plants, expansion of transmission, and demand response. This study assesses another option: a change in design of wind power plants. “Advanced” wind turbines that are higher and have a larger rotor compared to rated capacity (lower specific rating) generate electricity more constantly than “classical” turbines. Recent years have witnessed a significant shift towards such advanced technology. Our model-based analysis for Northwestern Europe shows that such design can substantially increase the spot market value of generated electricity. At a 30% penetration rate, the value of 1MWh of electricity generated from a fleet of advanced turbines is estimated to be 15% higher than the value of 1MWh from classical turbines. The additional value is large, whether compared to wind generation costs, to the value drop, or to the effect of alternative measures such as electricity storage. Extensive sensitivity tests indicate that this finding is remarkably robust. The increase in bulk power value is not the only advantage of advanced turbines: additional benefits might accrue from reduced costs for power grids and balancing services. To fully realize this potential, power markets and support policies need to be appropriately designed and signal scarcity investors.

Suggested Citation

  • Hirth, Lion & Müller, Simon, 2016. "System-friendly wind power," Energy Economics, Elsevier, vol. 56(C), pages 51-63.
  • Handle: RePEc:eee:eneeco:v:56:y:2016:i:c:p:51-63
    DOI: 10.1016/j.eneco.2016.02.016
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    References listed on IDEAS

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    1. 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.
    2. May, Nils, 2017. "The impact of wind power support schemes on technology choices," Energy Economics, Elsevier, vol. 65(C), pages 343-354.
    3. Gunnar Luderer & Volker Krey & Katherine Calvin & James Merrick & Silvana Mima & Robert Pietzcker & Jasper Vliet & Kenichi Wada, 2014. "The role of renewable energy in climate stabilization: results from the EMF27 scenarios," Climatic Change, Springer, vol. 123(3), pages 427-441, April.
    4. Heide, Dominik & von Bremen, Lueder & Greiner, Martin & Hoffmann, Clemens & Speckmann, Markus & Bofinger, Stefan, 2010. "Seasonal optimal mix of wind and solar power in a future, highly renewable Europe," Renewable Energy, Elsevier, vol. 35(11), pages 2483-2489.
    5. Gunnar Luderer & Volker Krey & Katherine Calvin & James Merrick & Silvana Mima & Robert Pietzcker & Jasper van Vliet & Kenichi Wada, 2014. "The role of renewable energy in climate stabilization: results from the EMF27 scenarios," Post-Print halshs-00961843, HAL.
    6. Brigitte Knopf & Bjørn Bakken & Samuel Carrara & Amit Kanudia & Ilkka Keppo & Tiina Koljonen & Silvana Mima & Eva Schmid & Detlef P. Van Vuuren, 2013. "Transforming The European Energy System: Member States' Prospects Within The Eu Framework," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 4(supp0), pages 1-26.
    7. Hartner, Michael & Ortner, André & Hiesl, Albert & Haas, Reinhard, 2015. "East to west – The optimal tilt angle and orientation of photovoltaic panels from an electricity system perspective," Applied Energy, Elsevier, vol. 160(C), pages 94-107.
    8. Lund, Henrik, 2005. "Large-scale integration of wind power into different energy systems," Energy, Elsevier, vol. 30(13), pages 2402-2412.
    9. Heide, Dominik & Greiner, Martin & von Bremen, Lüder & Hoffmann, Clemens, 2011. "Reduced storage and balancing needs in a fully renewable European power system with excess wind and solar power generation," Renewable Energy, Elsevier, vol. 36(9), pages 2515-2523.
    10. Blanco, María Isabel, 2009. "The economics of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1372-1382, August.
    11. Hirth, Lion & Ueckerdt, Falko, 2013. "Redistribution effects of energy and climate policy: The electricity market," Energy Policy, Elsevier, vol. 62(C), pages 934-947.
    12. Swider, Derk J. & Beurskens, Luuk & Davidson, Sarah & Twidell, John & Pyrko, Jurek & Prüggler, Wolfgang & Auer, Hans & Vertin, Katarina & Skema, Romualdas, 2008. "Conditions and costs for renewables electricity grid connection: Examples in Europe," Renewable Energy, Elsevier, vol. 33(8), pages 1832-1842.
    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. 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).
    15. Brown, Sarah J. & Rowlands, Ian H., 2009. "Nodal pricing in Ontario, Canada: Implications for solar PV electricity," Renewable Energy, Elsevier, vol. 34(1), pages 170-178.
    16. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    17. Lewis, Geoffrey McD., 2010. "Estimating the value of wind energy using electricity locational marginal price," Energy Policy, Elsevier, vol. 38(7), pages 3221-3231, July.
    18. 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.
    19. 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).
    20. Tafarte, Philip & Das, Subhashree & Eichhorn, Marcus & Thrän, Daniela, 2014. "Small adaptations, big impacts: Options for an optimized mix of variable renewable energy sources," Energy, Elsevier, vol. 72(C), pages 80-92.
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    More about this item

    Keywords

    Wind power; Variable renewables; Market value; Power market modeling;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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