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Cost-potentials for large onshore wind turbines in Europe

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  • McKenna, R.
  • Hollnaicher, S.
  • Ostman v. d. Leye, P.
  • Fichtner, W.

Abstract

Against the background of the recent trend towards ever larger wind turbines at higher hub heights, this contribution determines the total technical potential and associated costs for electricity generation in Europe with large turbines, based on a GIS-based methodology employing cost-potential curves. For the EU28 and Europe technical potentials of 15 PWh/a and 20 PWh/a are determined respectively, with associated LCOEs (Levelized Costs of Electricity) of between 6 and 50 €ct/kWh and large variations between countries: the largest potentials and lowest generation costs are to be found in the UK, Poland and Sweden. The approximate required investment to meet national 2020 targets based on the National Renewable Energy Action Plans is estimated based on the model results. A comparison with the results of other studies shows significant deviations in the results, most of which can be explained through the differences in input parameters, and a comparison of the obtained results for Germany with those from a previous study under the same assumptions produced very similar results with a deviation of about 10%. A sensitivity analysis showed that the results are only moderately sensitive to the assumed discount rate as well as the size of turbines available.

Suggested Citation

  • McKenna, R. & Hollnaicher, S. & Ostman v. d. Leye, P. & Fichtner, W., 2015. "Cost-potentials for large onshore wind turbines in Europe," Energy, Elsevier, vol. 83(C), pages 217-229.
  • Handle: RePEc:eee:energy:v:83:y:2015:i:c:p:217-229
    DOI: 10.1016/j.energy.2015.02.016
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    References listed on IDEAS

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    Cited by:

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    3. Sliz-Szkliniarz, B. & Eberbach, J. & Hoffmann, B. & Fortin, M., 2019. "Assessing the cost of onshore wind development scenarios: Modelling of spatial and temporal distribution of wind power for the case of Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 514-531.
    4. McKenna, R. & Mulalic, I. & Soutar, I. & Weinand, J.M. & Price, J. & Petrović, S. & Mainzer, K., 2022. "Exploring trade-offs between landscape impact, land use and resource quality for onshore variable renewable energy: an application to Great Britain," Energy, Elsevier, vol. 250(C).
    5. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
    6. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2017. "Temporally-explicit and spatially-resolved global onshore wind energy potentials," Energy, Elsevier, vol. 131(C), pages 207-217.
    7. Kwangtae Ha & Jun-Bae Kim & Youngjae Yu & Hyoung-Seock Seo, 2021. "Structural Modeling and Failure Assessment of Spar-Type Substructure for 5 MW Floating Offshore Wind Turbine under Extreme Conditions in the East Sea," Energies, MDPI, vol. 14(20), pages 1-23, October.
    8. Enevoldsen, Peter & Permien, Finn-Hendrik & Bakhtaoui, Ines & von Krauland, Anna-Katharina & Jacobson, Mark Z. & Xydis, George & Sovacool, Benjamin K. & Valentine, Scott V. & Luecht, Daniel & Oxley, G, 2021. "On the socio-technical potential for onshore wind in Europe: A response to critics," Energy Policy, Elsevier, vol. 151(C).
    9. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
    10. Dupré la Tour, Marie-Alix, 2023. "Photovoltaic and wind energy potential in Europe – A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    11. Liu, Fa & Sun, Fubao & Wang, Xunming, 2023. "Impact of turbine technology on wind energy potential and CO2 emission reduction under different wind resource conditions in China," Applied Energy, Elsevier, vol. 348(C).
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    13. Hdidouan, Daniel & Staffell, Iain, 2017. "The impact of climate change on the levelised cost of wind energy," Renewable Energy, Elsevier, vol. 101(C), pages 575-592.
    14. Jung, Christopher & Schindler, Dirk, 2022. "On the influence of wind speed model resolution on the global technical wind energy potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    15. Wyrwa, Artur & Suwała, Wojciech & Pluta, Marcin & Raczyński, Maciej & Zyśk, Janusz & Tokarski, Stanisław, 2022. "A new approach for coupling the short- and long-term planning models to design a pathway to carbon neutrality in a coal-based power system," Energy, Elsevier, vol. 239(PE).
    16. McKenna, Russell & Weinand, Jann Michael & Mulalic, Ismir & Petrovic, Stefan & Mainzer, Kai & Preis, Tobias & Moat, Helen Susannah, 2020. "Improving renewable energy resource assessments by quantifying landscape beauty," Working Paper Series in Production and Energy 43, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    17. Ryberg, David Severin & Tulemat, Zena & Stolten, Detlef & Robinius, Martin, 2020. "Uniformly constrained land eligibility for onshore European wind power," Renewable Energy, Elsevier, vol. 146(C), pages 921-931.
    18. Slednev, Viktor & Bertsch, Valentin & Ruppert, Manuel & Fichtner, Wolf, 2017. "Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology," MPRA Paper 79706, University Library of Munich, Germany.
    19. González-Aparicio, I. & Monforti, F. & Volker, P. & Zucker, A. & Careri, F. & Huld, T. & Badger, J., 2017. "Simulating European wind power generation applying statistical downscaling to reanalysis data," Applied Energy, Elsevier, vol. 199(C), pages 155-168.
    20. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2019. "Global levelised cost of electricity from offshore wind," Energy, Elsevier, vol. 189(C).
    21. Bowen Li & Sukanta Basu & Simon J. Watson & Herman W. J. Russchenberg, 2021. "A Brief Climatology of Dunkelflaute Events over and Surrounding the North and Baltic Sea Areas," Energies, MDPI, vol. 14(20), pages 1-14, October.
    22. Höltinger, Stefan & Salak, Boris & Schauppenlehner, Thomas & Scherhaufer, Patrick & Schmidt, Johannes, 2016. "Austria's wind energy potential – A participatory modeling approach to assess socio-political and market acceptance," Energy Policy, Elsevier, vol. 98(C), pages 49-61.
    23. Rečka, L. & Ščasný, M., 2016. "Impacts of carbon pricing, brown coal availability and gas cost on Czech energy system up to 2050," Energy, Elsevier, vol. 108(C), pages 19-33.
    24. Jäger, Tobias & McKenna, Russell & Fichtner, Wolf, 2016. "The feasible onshore wind energy potential in Baden-Württemberg: A bottom-up methodology considering socio-economic constraints," Renewable Energy, Elsevier, vol. 96(PA), pages 662-675.
    25. Ikäheimo, Jussi & Lindroos, Tomi J. & Kiviluoma, Juha, 2023. "Impact of climate and geological storage potential on feasibility of hydrogen fuels," Applied Energy, Elsevier, vol. 342(C).

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