Wind Turbine Placement and Externalities

Mathias Mier and Patrick Hoffmann

No 369, ifo Working Paper Series from ifo Institute - Leibniz Institute for Economic Research at the University of Munich

Abstract: 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 average 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.

Keywords: Wind turbine; placement; property prices; externality; noise; visibility (search for similar items in EconPapers)
JEL-codes: C61 H23 Q52 R14 (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-ene
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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