NREL Wind Turbine Power Curve Archive
The purpose of this archive is to compile public wind turbine data in one place for easy access.
https://github.com/nrel/turbine-models
Category: Renewable Energy
Sub Category: Wind Energy
Keywords from Contributors
measurements sanitation control training featured feature-flag feature-toggle
Last synced: about 10 hours ago
JSON representation
Repository metadata
Documentation for the turbine models in this repository is available below.
- Host: GitHub
- URL: https://github.com/nrel/turbine-models
- Owner: NREL
- License: bsd-3-clause
- Created: 2020-11-13T16:34:36.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2025-03-18T18:18:18.000Z (about 1 month ago)
- Last Synced: 2025-04-21T01:43:22.875Z (7 days ago)
- Language: Python
- Homepage: https://nrel.github.io/turbine-models/
- Size: 5.46 MB
- Stars: 65
- Watchers: 12
- Forks: 41
- Open Issues: 15
- Releases: 1
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
README.md
NREL Wind Turbine Power Curve Archive
Welcome to the repository for the wind turbine power curve archive.
The intention of this repositiory is to provide power curves and key data for commonly used turbine models in industry the R&D community.
Structure
Tabular power (and thrust when available) curve data is stored in the following folders:
- Distributed Wind Turbines
- Offshore Wind Turbines
- Onshore Wind Turbines
Here you can find .csv files with the following turbine data:
- Power curve
- Thrust curve (when available)
- Cp curve (when available)
- Ct curve (when available)
Documentation
Each turbine included in the repository is documented in detail:
https://nrel.github.io/turbine-models/
The name of the turbine on the .csv file with tabular data should match up with a corresponding documentation page.
Installing via pip
To use the turbine-models data library and helpers in your project, we now support pip installations, so projects
can be configured correctly and still use this data set.
pip install turbine-models
Installing from Source
-
Using Git, navigate to a local target directory and clone repository:
git clone https://github.com/NREL/turbine-models.git -
Navigate to
turbine-modelscd turbine-models -
Create a new virtual environment and change to it. Using Conda and naming it
turb_lib:conda create --name turb_lib python=3.11 -y conda activate turb_lib -
Install turbine-models and its dependencies:
-
for general use:
pip install . -
for general use and running examples:
pip install ".[examples]" -
for development dependencies and running tests. Note the
-eflag which installs turbine-models in-place so you can edit the turbine-models package files:pip install -e ".[develop]"
-
Getting started
The Examples contain Python scripts for common usage scenarios.
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
- Create event: 2
- Release event: 1
- Issues event: 3
- Watch event: 12
- Issue comment event: 1
- Member event: 1
- Push event: 11
- Pull request review event: 4
- Pull request event: 10
- Fork event: 8
Last Year
- Create event: 2
- Release event: 1
- Issues event: 3
- Watch event: 12
- Issue comment event: 1
- Member event: 1
- Push event: 11
- Pull request review event: 4
- Pull request event: 10
- Fork event: 8
Committers metadata
Last synced: 2 days ago
Total Commits: 83
Total Committers: 5
Avg Commits per committer: 16.6
Development Distribution Score (DDS): 0.386
Commits in past year: 64
Committers in past year: 3
Avg Commits per committer in past year: 21.333
Development Distribution Score (DDS) in past year: 0.203
| Name | Commits | |
|---|---|---|
| elenya-grant | 1****t | 51 |
| RHammond2 | 1****2 | 12 |
| pduff-code | 5****e | 12 |
| williamstravis | t****s@n****v | 7 |
| Clark | 1 |
Committer domains:
- nrel.gov: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 15
Total pull requests: 6
Average time to close issues: N/A
Average time to close pull requests: 5 days
Total issue authors: 5
Total pull request authors: 3
Average comments per issue: 0.07
Average comments per pull request: 0.17
Merged pull request: 6
Bot issues: 0
Bot pull requests: 0
Past year issues: 5
Past year pull requests: 5
Past year average time to close issues: N/A
Past year average time to close pull requests: 5 days
Past year issue authors: 3
Past year pull request authors: 2
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.2
Past year merged pull request: 5
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- pduff-code (10)
- williamhobbs (2)
- MaximilienAndre (1)
- owenroberts1 (1)
- KanwarOsama (1)
Top Pull Request Authors
- elenya-grant (4)
- caitlynclark (1)
- RHammond2 (1)
Top Issue Labels
Top Pull Request Labels
- enhancement (1)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 2,417 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 2
pypi.org: turbine-models
Retrieves power curves and key data for commonly used turbine models in industry and R&D community.
- Homepage:
- Documentation: https://turbine-models.readthedocs.io/
- Licenses: BSD License
- Latest release: 0.1.0 (published about 2 months ago)
- Last Synced: 2025-04-26T04:00:55.786Z (1 day ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 2,417 Last month
-
Rankings:
- Dependent packages count: 9.494%
- Average: 31.48%
- Dependent repos count: 53.466%
- Maintainers (2)
Score: 13.782574057718008