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Uniformly constrained land eligibility for onshore European wind power

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  • Ryberg, David Severin
  • Tulemat, Zena
  • Stolten, Detlef
  • Robinius, Martin

Abstract

When and where renewable energy sources such as onshore wind turbines generate energy depends heavily on their spatial distribution. This distribution, however, derives from the preferences and restrictions imposed by local stake-holders and dictates the overall onshore wind land eligibility. Unfortunately, due to inconsistent analysis methods and a shifting sociotechnical landscape, current understanding of land eligibility is insufficient. Therefore the Geospatial Land Availability for Energy Systems (GLAES) model, a general framework for land eligibility investigation, is used to conduct a uniformly-constrained pan-European investigation of onshore wind land eligibility in which 31 socially and technologically driven constraints are imposed. A detailed characterization of the average wind resource and current land usage within the eligible areas is then discussed. Constraint sensitivity is then evaluated at both the European and national levels including the construction of a detailed sensitivity trend for all constraints. Ultimately, it is found that 26.24% of land is eligible across Europe, with the highest shares possessed by Spain, France and Sweden. On average across Europe, onshore wind land eligibility is most sensitive to the minimal wind speed, the maximal terrain slope, the maximal distance from power lines, and the minimal distance from settlements.

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  • 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.
  • Handle: RePEc:eee:renene:v:146:y:2020:i:c:p:921-931
    DOI: 10.1016/j.renene.2019.06.127
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    5. 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.
    6. Alexandra G. Papadopoulou & George Vasileiou & Alexandros Flamos, 2020. "A Comparison of Dispatchable RES Technoeconomics: Is There a Niche for Concentrated Solar Power?," Energies, MDPI, vol. 13(18), pages 1-22, September.
    7. Choupin, Ophelie & Del Río-Gamero, B. & Schallenberg-Rodríguez, Julieta & Yánez-Rosales, Pablo, 2022. "Integration of assessment-methods for wave renewable energy: Resource and installation feasibility," Renewable Energy, Elsevier, vol. 185(C), pages 455-482.
    8. Mats Kröger & Karsten Neuhoff & Jörn C. Richstein, 2022. "Discriminatory Auction Design for Renewable Energy," Discussion Papers of DIW Berlin 2013, DIW Berlin, German Institute for Economic Research.
    9. Anne A. Gharaibeh & Deema A. Al-Shboul & Abdulla M. Al-Rawabdeh & Rasheed A. Jaradat, 2021. "Establishing Regional Power Sustainability and Feasibility Using Wind Farm Land-Use Optimization," Land, MDPI, vol. 10(5), pages 1-32, April.
    10. 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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