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Value of wind power – Implications from specific power

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  • Johansson, V.
  • Thorson, L.
  • Goop, J.
  • Göransson, L.
  • Odenberger, M.
  • Reichenberg, L.
  • Taljegard, M.
  • Johnsson, F.

Abstract

This paper investigates the marginal system value of increasing the penetration level of wind power, and how this value is dependent upon the specific power (the ratio of the rated power to the swept area). The marginal system value measures the economic value of increasing the wind power capacity. Green-field power system scenarios, with minimised dispatch and investment costs, are modelled for Year 2050 for four regions in Europe that have different conditions for renewable electricity generation. The results show a high marginal system value of wind turbines at low penetration levels in all four regions and for the three specific powers investigated. The cost-optimal wind power penetration levels are up to 40% in low-wind-speed regions, and up to 80% in high-wind–speed regions. The results also show that both favourable solar conditions and access to hydropower benefit the marginal system value of wind turbines. Furthermore, the profile value, which measures how valuable a wind turbine generation profile is to the electricity system, increases in line with a reduction in the specific power for wind power penetration levels of >10%. The profile value shows that the specific power becomes more important as the wind power penetration level increases.

Suggested Citation

  • Johansson, V. & Thorson, L. & Goop, J. & Göransson, L. & Odenberger, M. & Reichenberg, L. & Taljegard, M. & Johnsson, F., 2017. "Value of wind power – Implications from specific power," Energy, Elsevier, vol. 126(C), pages 352-360.
    • Handle: RePEc:eee:energy:v:126:y:2017:i:c:p:352-360
    DOI: 10.1016/j.energy.2017.03.038
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    1. 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.
    2. Carrillo, C. & Obando Montaño, A.F. & Cidrás, J. & Díaz-Dorado, E., 2013. "Review of power curve modelling for wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 572-581.
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    10. Lehmann, Paul & Reutter, Felix & Tafarte, Philip, 2021. "Optimal siting of onshore wind turbines: Local disamenities matter," UFZ Discussion Papers 4/2021, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
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    13. Lisa Göransson & Mariliis Lehtveer & Emil Nyholm & Maria Taljegard & Viktor Walter, 2019. "The Benefit of Collaboration in the North European Electricity System Transition—System and Sector Perspectives," Energies, MDPI, vol. 12(24), pages 1-23, December.
    14. 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.
    15. Philipp Beiter & Aubryn Cooperman & Eric Lantz & Tyler Stehly & Matt Shields & Ryan Wiser & Thomas Telsnig & Lena Kitzing & Volker Berkhout & Yuka Kikuchi, 2021. "Wind power costs driven by innovation and experience with further reductions on the horizon," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 10(5), September.
    16. Burt, Michelle & Firestone, Jeremy & Madsen, John A. & Veron, Dana E. & Bowers, Richard, 2017. "Tall towers, long blades and manifest destiny: The migration of land-based wind from the Great Plains to the thirteen colonies," Applied Energy, Elsevier, vol. 206(C), pages 487-497.
    17. Walter, Viktor & Göransson, Lisa, 2022. "Trade as a variation management strategy for wind and solar power integration," Energy, Elsevier, vol. 238(PA).
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