Wind turbine placement and externalities

Arbeitspapier

We apply Open Street Map to identify available placement cells and Global Wind Atlas to determine average wind speeds on a 500 x 500m grid in Germany (1.3 million cells). Minimum distances to obstacles such a roads and buildings leave 535,000 potential placement cells. We calculate distance-dependent noise and visibility damages for each placement cell by using property prices for each of the 401 German counties. We mini- mize the sum of externalities and project cost given a certain expansion target of aver- age power output, thereby allowing to build two different turbine types. The externality share is 13% for the first 3,600 turbines and 52% with total damages of 293 billion e when installing 83,000 turbines (349 GW rated power). The externality share grows up to 311% with total damages of 1,409 billion e when not considering externalities in the placement process.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: ifo Working Paper ; No. 369

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Optimization Techniques; Programming Models; Dynamic Analysis ; Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies ; Pollution Control Adoption and Costs; Distributional Effects; Employment Effects ; Land Use Patterns
• Thema: wind turbine ; placement ; property prices ; externality ; noise ; visibility

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Hoffmann, Patrick ; Mier, Mathias
• Ereignis: Veröffentlichung
• (wer): ifo Institute - Leibniz Institute for Economic Research at the University of Munich
• (wo): Munich
• (wann): 2022

Weitere Informationen

• Handle: http://hdl.handle.net/10419/251986
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ