Result data related to "Cost-potential curves of onshore wind energy: the role of disamenity costs"

This dataset estimates the impact of incorporating disamenity costs of wind onshore in Europe (in addition to technology cost). The data haset has been generated and used for the publication: Ruhnau, O., Eicke, A., Sgarlato, R., Tröndle, T., Hirth, L., 2022. Cost-potential curves of onshore wind energy: the role of disamenity costs. Environmental and Resource Economics. DOI: 10.1007/s10640-022-00746-2 The corresponding code is published on GitHub. The dataset includes: Maps that exhibit the population count within a predefined distance (e.g., "population-within-1km.tif") and the resulting disamenity costs ("disamenity-cost.tif") Tables that summarize the engineering and disamenity costs faced at each potential turbine location in the EU (e.g., "turbines-AT.csv")

Related Organizations

ETH Zurich
Switzerland
Hertie School
Germany
Institute for Environmental Decisions
Switzerland

Keywords

Renewable energy, Setback distances, Cost-potential curves, Energy system modeling, Onshore wind energy, Disamenity costs

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