Metadata-Version: 2.1
Name: wind-stats
Version: 0.2.0
Summary: Statistics tools to evaluate your wind energy projects
Home-page: https://github.com/jules-ch/wind-stats
License: MIT
Keywords: wind,energy,renewables,statistics
Author: Jules Chéron
Author-email: jules.cheron@gmail.com
Requires-Python: >=3.7,<4.0
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
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Dist: Pint (>=0.17.0,<0.18.0)
Requires-Dist: importlib-metadata (>=3.4.0,<4.0.0); python_version < "3.8"
Requires-Dist: numpy (>=1.19.4,<2.0.0)
Requires-Dist: scipy (>=1.5.4,<2.0.0)
Requires-Dist: typing-extensions (>=3.7.4,<4.0.0); python_version < "3.8"
Requires-Dist: xarray (>=0.17.0,<0.18.0)
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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[![codecov](https://codecov.io/gh/jules-ch/wind-stats/branch/main/graph/badge.svg)](https://codecov.io/gh/jules-ch/wind-stats)
[![PyPi Version](https://img.shields.io/pypi/v/wind-stats)](https://pypi.org/project/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

