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Optimal siting of onshore wind turbines: Local disamenities matter

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  • Lehmann, Paul
  • Reutter, Felix
  • Tafarte, Philip

Abstract

The deployment of onshore wind power is an important means to mitigate climate change. However, wind turbines also produce local disamenities to residents living next to them, mainly due to noise emissions and visual effects. Our paper analyzes how the presence of local disamenities affects the socially optimal siting of onshore wind power. The analysis builds on a spatial optimization model using geographical information system (GIS) data for Germany. Our results indicate a major spatial trade-off between the goals of minimizing electricity generation and disamenity costs. Considering disamenity costs substantially alters - and in fact dominates - the socially optimal spatial allocation of wind power deployment. This is because in Germany a) the spatial correlation between generation costs and disamenity costs is only moderately positive, and b) disamenity costs exhibit a larger spatial heterogeneity than the generation costs. These results are robust to variations in the level and slope of the disamenity cost function that we assume for the modeling. Our findings emphasize the importance of supplementing support schemes for wind power deployment with approaches that address local disamenties, e.g., compensation payments to local residents or minimum settlement distances.

Suggested Citation

  • 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).
  • Handle: RePEc:zbw:ufzdps:42021
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    Cited by:

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    2. Felix Reutter & Charlotte Geiger & Paul Lehmann & Jan-Niklas Meier & Philip Tafarte, 2022. "Flächenziele für die Windenergie: Wie zielführend ist das neue Wind-an-Land-Gesetz? [Land Area Targets for Wind Energy: How Promising Is the New Onshore Wind Power Legislation?]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(9), pages 703-708, September.
    3. Tafarte, Philip & Lehmann, Paul, 2023. "Quantifying trade-offs for the spatial allocation of onshore wind generation capacity – A case study for Germany," Ecological Economics, Elsevier, vol. 209(C).
    4. Tafarte, Philip & Lehmann, Paul, 2021. "Quantifying trade-offs for the spatial allocation of onshore wind generation capacity: A case study for Germany," UFZ Discussion Papers 2/2021, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).

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    Keywords

    Externality; Germany; renewable energy; spatial optimization; wind power;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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