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GIS-based noise impact assessment of wind turbines
Noise from wind turbines can potentially affect the health of surrounding ecosystems and the human population. However, the potential adverse effects of wind turbine noise are often mitigated by proper planning, including setbacks from residential areas, strategic wind farm placement, and noise reduction technologies. Hence, research is needed to understand the specific effects of wind turbine noise on ecosystems and human populations and develop appropriate mitigation strategies.
Keywords: GIS, noise, wind turbine, health impact
The student will enrich and build on an existing open-source noise propagation model for wind turbines (https://github.com/Maxbeal/noisemodel) with GIS information to better quantify noise propagation and impacts on surrounding populations.
The student will enrich and build on an existing open-source noise propagation model for wind turbines (https://github.com/Maxbeal/noisemodel) with GIS information to better quantify noise propagation and impacts on surrounding populations.
Two parallel objectives:
1. Improve the current noise propagation model (e.g., the inclusion of obstacles, etc.).
2. Create a European map indicating zones where wind turbines cannot be implemented due to
noise exposure.
More precisely, the student will have to combine several GIS data resources (e.g., OpenStreetMap, JRC)
and map layers (buildings, infrastructure, population) to:
• Include obstacles (forest, buildings) that may impede noise propagation,
• Identify areas and populations potentially affected by the noise emissions of a wind turbine,
• Estimate the extent of noise exposure (intensity and duration),
to assess the impact of current and future wind turbine installations in Europe.
The second objective is to draw a map layer representing exclusion zones based on population exposure
to noise to determine the potential and limits for future wind turbine installations in Europe.
Two parallel objectives: 1. Improve the current noise propagation model (e.g., the inclusion of obstacles, etc.). 2. Create a European map indicating zones where wind turbines cannot be implemented due to noise exposure. More precisely, the student will have to combine several GIS data resources (e.g., OpenStreetMap, JRC) and map layers (buildings, infrastructure, population) to: • Include obstacles (forest, buildings) that may impede noise propagation, • Identify areas and populations potentially affected by the noise emissions of a wind turbine, • Estimate the extent of noise exposure (intensity and duration), to assess the impact of current and future wind turbine installations in Europe. The second objective is to draw a map layer representing exclusion zones based on population exposure to noise to determine the potential and limits for future wind turbine installations in Europe.
master_thesis_PSI_wind_turbine_noise.pdf
