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High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs

Author

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  • McKenna, Russell
  • Pfenninger, Stefan
  • Heinrichs, Heidi
  • Schmidt, Johannes
  • Staffell, Iain
  • Bauer, Christian
  • Gruber, Katharina
  • Hahmann, Andrea N.
  • Jansen, Malte
  • Klingler, Michael
  • Landwehr, Natascha
  • Larsén, Xiaoli Guo
  • Lilliestam, Johan
  • Pickering, Bryn
  • Robinius, Martin
  • Tröndle, Tim
  • Turkovska, Olga
  • Wehrle, Sebastian
  • Weinand, Jann Michael
  • Wohland, Jan

Abstract

The rapid uptake of renewable energy technologies in recent decades has increased the demand of energy researchers, policymakers and energy planners for reliable data on the spatial distribution of their costs and potentials. For onshore wind energy this has resulted in an active research field devoted to analysing these resources for regions, countries or globally. A particular thread of this research attempts to go beyond purely technical or spatial restrictions and determine the realistic, feasible or actual potential for wind energy. Motivated by these developments, this paper reviews methods and assumptions for analysing geographical, technical, economic and, finally, feasible onshore wind potentials. We address each of these potentials in turn, including aspects related to land eligibility criteria, energy meteorology, and technical developments of wind turbine characteristics such as power density, specific rotor power and spacing aspects. Economic aspects of potential assessments are central to future deployment and are discussed on a turbine and system level covering levelized costs depending on locations, and the system integration costs which are often overlooked in such analyses. Non-technical approaches include scenicness assessments of the landscape, constraints due to regulation or public opposition, expert and stakeholder workshops, willingness to pay/accept elicitations and socioeconomic cost-benefit studies. For each of these different potential estimations, the state of the art is critically discussed, with an attempt to derive best practice recommendations and highlight avenues for future research.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:182:y:2022:i:c:p:659-684
    DOI: 10.1016/j.renene.2021.10.027
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    5. Hedenus, F. & Jakobsson, N. & Reichenberg, L. & Mattsson, N., 2022. "Historical wind deployment and implications for energy system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
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    11. Elkadeem, Mohamed R. & Younes, Ali & Mazzeo, Domenico & Jurasz, Jakub & Elia Campana, Pietro & Sharshir, Swellam W. & Alaam, Mohamed A., 2022. "Geospatial-assisted multi-criterion analysis of solar and wind power geographical-technical-economic potential assessment," Applied Energy, Elsevier, vol. 322(C).
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    15. Gangopadhyay, A. & Seshadri, A.K. & Sparks, N.J. & Toumi, R., 2022. "The role of wind-solar hybrid plants in mitigating renewable energy-droughts," Renewable Energy, Elsevier, vol. 194(C), pages 926-937.
    16. Ramakrishnan, Shanmugam & Delpisheh, Mostafa & Convery, Caillean & Niblett, Daniel & Vinothkannan, Mohanraj & Mamlouk, Mohamed, 2024. "Offshore green hydrogen production from wind energy: Critical review and perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 195(C).
    17. Xu, Bin, 2023. "Exploring the sustainable growth pathway of wind power in China: Using the semiparametric regression model," Energy Policy, Elsevier, vol. 183(C).
    18. Antonio Jiménez-Garrote & Francisco J. Santos-Alamillos & Guadalupe Sánchez-Hernández & Miguel López-Cuesta & José A. Ruiz-Arias & David Pozo-Vázquez, 2024. "Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysis," Energies, MDPI, vol. 17(7), pages 1-25, March.
    19. Guillot, Victor & Siggini, Gildas & Assoumou, Edi, 2023. "Interactions between land and grid development in the transition to a decarbonized European power system," Energy Policy, Elsevier, vol. 175(C).
    20. Jin, Jingxin & Li, Yilin & Ye, Lin & Xu, Xunjian & Lu, Jiazheng, 2023. "Integration of atmospheric stability in wind resource assessment through multi-scale coupling method," Applied Energy, Elsevier, vol. 348(C).
    21. Hessam Golmohamadi, 2022. "Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    22. 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).
    23. Gualtieri, G., 2022. "Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    24. Junejo, Allah Rakhio & Gilal, Nauman Ullah & Doh, Jaehyeok, 2023. "Physics-informed optimization of robust control system to enhance power efficiency of renewable energy: Application to wind turbine," Energy, Elsevier, vol. 263(PB).
    25. Lohr, C. & Schlemminger, M. & Peterssen, F. & Bensmann, A. & Niepelt, R. & Brendel, R. & Hanke-Rauschenbach, R., 2022. "Spatial concentration of renewables in energy system optimization models," Renewable Energy, Elsevier, vol. 198(C), pages 144-154.

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