windwhisper

windwhisper is a Python package for estimating wind turbine noise propagation and its impacts on surrounding populations.

Installation

As windwhisper is being actively developed, it is best to install from Github using pip:

  pip install git+https://github.com/Maxbeal/noisemodel.git

Usage

windwhisper can be used to estimate the noise propagation from wind turbines. The following example shows how to estimate the noise propagation from a series of wind turbines, and the exposure of a number of listeners to noise, expressed using the L_den indicator. Results can be exported on a map.

Initializing wind turbines and listeners:

    from windturbines import WindTurbines

    wind_turbines_data = {
        "Turbine1": {
            "power": 3000,
            "diameter": 100,
            "hub height": 120,
            "position": (47.5, 8.2)  # Latitude and Longitude
        }
    }
    
    listeners = {
        "Listener1": {
            "position": (47.5, 8.25)
        }
    }
    
    wt = WindTurbines(
        wind_turbines=wind_turbines_data,
        listeners=listeners,
        retrain_model=False  # Set to True to retrain the noise model
    )

Fetching and Analyzing Noise Levels

    wt.fetch_noise_level_vs_wind_speed()
    wt.plot_noise_curve()  # Visualize noise levels for different wind speeds

Noise Map Generation

    wt.fetch_noise_map()

Noise Impact Analysis

    wt.analyze_noise()

License

windwhisper is distributed under the terms of the BSD 3-Clause license (see LICENSE).

Authors

• Maxime Balandret, Paul Scherrer Institut (PSI)
• Romain Sacchi ([email protected]), Paul Scherrer Institut (PSI)

Acknowledgements

The development of windwhisper is supported by the European project WIMBY (Wind In My BackYard, grant agreement No 101083460).