Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1016/j.reseneeco.2023.101386
Lizenz creative commons licence
Titel (primär) Optimal siting of onshore wind turbines: Local disamenities matter
Autor Lehmann, P.; Reutter, F.; Tafarte, P.
Quelle Resource and Energy Economics
Erscheinungsjahr 2023
Department OEKON
Band/Volume 74
Seite von art. 101386
Sprache englisch
Topic T5 Future Landscapes
Keywords Externality; Germany; renewable energy; spatial optimization; wind power
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 more than 100,000 potential sites in 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 differentiated setback distances to settlements.
dauerhafte UFZ-Verlinkung
Lehmann, P., Reutter, F., Tafarte, P. (2023):
Optimal siting of onshore wind turbines: Local disamenities matter
Resour. Energy Econ. 74 , art. 101386 10.1016/j.reseneeco.2023.101386