WindSE
A Python package that uses a FEniCS backend to perform wind farm simulations and optimization.
https://github.com/NREL/WindSE
Category: Renewable Energy
Sub Category: Wind Energy
Keywords from Contributors
wind openmdao systems-engineering wisdem
Last synced: about 12 hours ago
JSON representation
Repository metadata
- Host: GitHub
- URL: https://github.com/NREL/WindSE
- Owner: NREL
- License: other
- Created: 2019-04-26T21:00:20.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2025-05-16T18:21:24.000Z (7 months ago)
- Last Synced: 2025-12-09T04:26:21.463Z (18 days ago)
- Language: Python
- Size: 37.9 MB
- Stars: 55
- Watchers: 11
- Forks: 37
- Open Issues: 25
- Releases: 3
-
Metadata Files:
- Readme: README.rst
- Changelog: ChangeLog.rst
- License: License.txt
README.rst
WindSE: Wind Systems Engineering
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Simple Description:
===================
WindSE is a python package that uses a FEniCS backend to perform wind farm simulations and optimization. Documentation can be found at: https://windse.readthedocs.io/en/latest/
Quick Start-Up Guide:
=====================
It is easiest to run WindSE within a conda environment. To install conda check this link: `Conda Installation `_. Additionally, WindSE has been tested on MacOS (Catalina 10.15) and Linux (CentOS 7). Windows is not recommended.
Quick Installation Instructions:
--------------------------------
The easiest way to install windse is to run::
sh install.sh
Then the enviroment can be activated using::
conda activate
Quick Demo Instructions:
------------------------
Activate the conda environment using::
conda activate
Then to run a simple demo, navigate to /demos/documented/Yaml_Examples/ and run::
windse run 0-wind_farm_2D.yaml
The output of this simulation will be located in the output/2_5D_Wind_Farm/ folder. Use `Paraview `_ to visualize the results in the solutions/ folder. To learn what parameter can be set in the yaml file, head to the `Parameter Documentation `_.
Owner metadata
- Name: National Renewable Energy Laboratory
- Login: NREL
- Email:
- Kind: organization
- Description:
- Website: http://www.nrel.gov
- Location: Golden, CO
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/1906800?v=4
- Repositories: 599
- Last ynced at: 2024-12-18T09:41:07.898Z
- Profile URL: https://github.com/NREL
GitHub Events
Total
- Watch event: 4
- Push event: 3
- Pull request event: 6
- Fork event: 11
Last Year
- Watch event: 3
- Push event: 3
- Pull request event: 6
- Fork event: 10
Committers metadata
Last synced: 3 days ago
Total Commits: 400
Total Committers: 8
Avg Commits per committer: 50.0
Development Distribution Score (DDS): 0.45
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Jeff Allen | j****n@n****v | 220 |
| Ethan Young | e****g@n****v | 110 |
| John Jasa | j****1@g****m | 48 |
| rking | r****g@n****v | 15 |
| Malik | m****y@g****m | 3 |
| Pietro Bortolotti | p****o@e****v | 2 |
| 99kilojoules | j****8@h****u | 1 |
| Julian Quick | j****k@e****v | 1 |
Committer domains:
Issue and Pull Request metadata
Last synced: 29 days ago
Total issues: 33
Total pull requests: 95
Average time to close issues: 7 months
Average time to close pull requests: 19 days
Total issue authors: 12
Total pull request authors: 10
Average comments per issue: 0.48
Average comments per pull request: 0.59
Merged pull request: 81
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 8
Past year average time to close issues: N/A
Past year average time to close pull requests: 15 days
Past year issue authors: 0
Past year pull request authors: 3
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 4
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- eyoung55 (10)
- jefalon (6)
- johnjasa (4)
- drijazfazil (2)
- ryannking (2)
- JonLock1689 (2)
- kilojoules (2)
- msjvenegas (1)
- petebachant (1)
- Josue9740 (1)
- misi9170 (1)
- RafieeAshkan (1)
Top Pull Request Authors
- jefalon (48)
- eyoung55 (19)
- johnjasa (10)
- AdrianGushin (4)
- cfrontin (3)
- ptrbortolotti (3)
- kilojoules (3)
- JonLock1689 (2)
- gbarter (2)
- malihass (1)
Top Issue Labels
- enhancement (7)
- bug (5)
Top Pull Request Labels
- enhancement (2)
- bug (1)
Package metadata
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
conda-forge.org: windse
Wind Systems Engineering (WindSE) is a simple tool for running RANS based simulation of wind farms. It can be used to optimize layouts, yaws, and axial induction. It is developed and maintainered by NREL.
- Homepage: https://github.com/NREL/WindSE
- Licenses: Apache 2.0
- Latest release: 2018.1.0_0.8 (published over 6 years ago)
- Last Synced: 2025-12-03T10:05:42.393Z (23 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Forks count: 33.946%
- Dependent repos count: 34.025%
- Stargazers count: 38.832%
- Average: 39.495%
- Dependent packages count: 51.175%
Dependencies
- openmdao *
- pyyaml *
- actions/checkout v2 composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v2 composite
- conda-incubator/setup-miniconda v2 composite
- fatpack *
- networkx *
- pulp *
- singledispatch *
Score: -Infinity