This datasets contains the code used to extract and process the OSM data, maps for both wind turbine and solar PV locations and the probability maps.
The Overpass Turbo API wrapper is accessed through a Python script, which applies key/value pairs to extract wind turbines and solar PV. The resulting GeoJSON file contains a series of nodes and ways, delimiting the parameters of the items mapped and classified under the pairs of tags and keys.
The solar PV and wind turbine map display the most recent and coherent spatial dataset of onshore wind turbines (118,238) and industrial solar photovoltaics (670 km2) in the European Union, excluding urban and water areas. The results present an 8.5-fold and 2.5-fold increase in onshore wind turbines and solar photovoltaics, respectively, compared to similar results from 2020.
Two models were developed to understand the significance, associated relationship, and strength of a wide range of variables as location determinants. A 50-fold cross-validation concluded the robustness of both models, allowing for the development of probability maps that illustrate the future expansion potential in the European Union which are provided as tiff files in this dataset.
Date made available | Sept 2024 |
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Publisher | Figshare |
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Geographical coverage | European Union |
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- Renewable energy
- Solar energy
- Wind energy
- Location determinants