WindKit

WindKit provides core functionalities for working with wind resource data, built on top of xarray and geopandas.

Installation

pip:

pip install windkit

conda:

conda install -c https://conda.windenergy.dtu.dk/channel/open windkit

Quick Start

import windkit as wk

# Read a binned wind climate
bwc = wk.read_bwc("hovsore.tab")

# Calculate mean wind speed
mean_ws = wk.mean_wind_speed(bwc)
print(f"Mean wind speed: {mean_ws.values:.2f} m/s")

# Fit Weibull distribution and convert to Weibull wind climate
wwc = wk.weibull_fit(bwc)

Features

• Wind Climate I/O - Read/write binned, Weibull, generalized, and time-series wind climates (NetCDF, .lib, .tab, .rsf, .wrg)
• Map I/O - Read/write elevation, roughness, and landcover maps (raster and vector formats)
• WAsP Integration - Read WAsP Workspace files and WAsP Engineering project files
• Spatial Processing - Clip, reproject, and interpolate spatial data with full CRS support
• Wind Statistics - Calculate mean wind speed, power density, Weibull parameters, and more
• Plotting - Interactive plots with Plotly, static plots with Matplotlib
• Remote Data Access - Download ERA5 reanalysis data and satellite-derived maps

Documentation

Full documentation: docs.wasp.dk/windkit

Community forum: WAsP Python tools

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

BSD-3-Clause - see LICENSE for details.