https://github.com/jules-ch/wind-stats

☴ Statistics for your wind power projects
https://github.com/jules-ch/wind-stats

library python renewables statistics wind wind-energy windturbine

Last synced: 6 months ago
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☴ Statistics for your wind power projects

• Host: GitHub
• URL: https://github.com/jules-ch/wind-stats
• Owner: jules-ch
• License: mit
• Created: 2020-11-18T21:45:04.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2023-02-21T23:14:31.000Z (over 2 years ago)
• Last Synced: 2025-03-27T18:50:12.518Z (7 months ago)
• Topics: library, python, renewables, statistics, wind, wind-energy, windturbine
• Language: Python
• Homepage: https://wind-stats.readthedocs.io
• Size: 767 KB
• Stars: 12
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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# Wind stats

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

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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