Metadata-Version: 2.4
Name: wind-stats
Version: 0.3.1
Summary: Statistics tools to evaluate your wind energy projects
Project-URL: Homepage, https://github.com/jules-ch/wind-stats
Project-URL: Documentation, https://wind-stats.readthedocs.io/
Maintainer-email: Jules Chéron <jules.cheron@gmail.com>
License-Expression: MIT
License-File: LICENSE
Keywords: energy,renewables,statistics,wind
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.8
Requires-Dist: numpy>=1.21
Requires-Dist: pandas
Requires-Dist: pint
Requires-Dist: scipy
Requires-Dist: xarray
Provides-Extra: dev
Requires-Dist: black>=23.1.0; extra == 'dev'
Requires-Dist: isort>=5.6.4; extra == 'dev'
Requires-Dist: mypy>=1.0.0; extra == 'dev'
Requires-Dist: ruff; extra == 'dev'
Requires-Dist: types-requests; extra == 'dev'
Provides-Extra: test
Requires-Dist: pytest-cov; extra == 'test'
Requires-Dist: pytest>=7.0.0; extra == 'test'
Requires-Dist: requests; extra == 'test'
Requires-Dist: responses; extra == 'test'
Description-Content-Type: text/markdown

<p align="center">
  <a href="https://github.com/jules-ch/wind-stats"><img src="https://raw.githubusercontent.com/jules-ch/wind-stats/main/docs/_static/logo-wind-stats.png" alt="wind-stats"></a>
</p>

-----------------

# Wind stats

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[![License: MIT](https://raw.githubusercontent.com/jules-ch/wind-stats/main/docs/_static/license.svg)](https://github.com/jules-ch/wind-stats/blob/master/LICENSE)


Wind-stats is a package to easily compute power statistics for your wind energy projects.

## Features

- Read generalized wind climate (GWC) file from [Global Wind Atlas](https://globalwindatlas.info/).
- Shelter model for wind speed reduction from obstacles.
- Compute global Weibull parameters based on site location.

- Get general statistics to compare different sites implementation (mean wind speed, mean power density).
- Compute annual energy production based on wind turbine power curve & site's wind distribution.


## Installation

```console
pip install wind-stats
```

## Examples

See our examples on how to use 

## Ressources
   - Troen, I., & Lundtang Petersen, E. (1989). European Wind Atlas. Risø National Laboratory.
   - Peña, A., Bechmann, A., Conti, D., Angelou, N., & Troen, I. (2015). Shelter models and observations. DTU Wind
Energy. DTU Wind Energy E, No. 00923
   - Marc Rapin , Philippe Leconte (2017). Évolution, principes de base et potentiel de conversion. Techniques de l'ingénieur
