Published November 25, 2022
| Version v1
Dataset
Open
Result data related to "Cost-potential curves of onshore wind energy: the role of disamenity costs"
Authors/Creators
- 1. Hertie School, Berlin, Germany
- 2. Institute for Environmental Decisions, ETH Zürich, Zürich, Switzerland
Description
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")
Files
disamenity-cost.tif
Files
(1.6 GB)
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md5:d2d062ae019a9aeb6f8d479bb2280090
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Additional details
Related works
- Is compiled by
- Software: 10.5281/zenodo.7362048 (DOI)
- Is documented by
- Journal article: 10.1007/s10640-022-00746-2 (DOI)
- Is supplement to
- Software: https://github.com/timtroendle/wind-onshore-cost-potential (URL)