turbine-models

Documentation for the turbine models in this repository is available below.

https://github.com/nrel/turbine-models

Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.1%) to scientific vocabulary

Keywords from Contributors

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Last synced: 10 months ago · JSON representation

Repository

Documentation for the turbine models in this repository is available below.

Basic Info
Statistics
  • Stars: 74
  • Watchers: 12
  • Forks: 42
  • Open Issues: 15
  • Releases: 2
Created over 5 years ago · Last pushed 10 months ago
Metadata Files
Readme Contributing License

README.md

NREL Wind Turbine Power Curve Archive

PyPI version License docs - GitHub Pages DOI 10.11578/dc.20210112.1

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: 1. Power curve 2. Thrust curve (when available) 3. Cp curve (when available) 4. 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.

bash pip install turbine-models

Installing from Source

  1. Using Git, navigate to a local target directory and clone repository:

    bash git clone https://github.com/NREL/turbine-models.git

  2. Navigate to turbine-models

    bash cd turbine-models

  3. Create a new virtual environment and change to it. Using Conda and naming it turb_lib:

    bash conda create --name turb_lib python=3.11 -y conda activate turb_lib

  4. Install turbine-models and its dependencies:

    • for general use:

      bash pip install .

- for general use and running examples:

    ```bash
    pip install ".[examples]"
    ```

- for development dependencies and running tests. Note the `-e` flag which installs turbine-models in-place so you can edit the turbine-models package files: 

    ```bash
    pip install -e ".[develop]"
    ```

Getting started

The Examples contain Python scripts for common usage scenarios.

Owner

  • Name: National Renewable Energy Laboratory
  • Login: NREL
  • Kind: organization
  • Location: Golden, CO

GitHub Events

Total
  • Create event: 4
  • Release event: 1
  • Issues event: 5
  • Watch event: 16
  • Delete event: 1
  • Issue comment event: 1
  • Member event: 1
  • Push event: 13
  • Pull request review event: 5
  • Pull request event: 12
  • Fork event: 8
Last Year
  • Create event: 4
  • Release event: 1
  • Issues event: 5
  • Watch event: 16
  • Delete event: 1
  • Issue comment event: 1
  • Member event: 1
  • Push event: 13
  • Pull request review event: 5
  • Pull request event: 12
  • Fork event: 8

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 85
  • Total Committers: 6
  • Avg Commits per committer: 14.167
  • Development Distribution Score (DDS): 0.4
Past Year
  • Commits: 66
  • Committers: 3
  • Avg Commits per committer: 22.0
  • Development Distribution Score (DDS): 0.227
Top Committers
Name Email Commits
elenya-grant 1****t@u****m 51
RHammond2 1****2@u****m 14
pduff-code 5****e@u****m 7
williamstravis t****s@n****v 7
Patrick Duffy P****y@n****v 5
Clark 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 16
  • Total pull requests: 14
  • Average time to close issues: 6 days
  • Average time to close pull requests: 4 days
  • Total issue authors: 6
  • Total pull request authors: 3
  • Average comments per issue: 0.13
  • Average comments per pull request: 0.14
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 5
  • Pull requests: 13
  • Average time to close issues: 6 days
  • Average time to close pull requests: 4 days
  • Issue authors: 3
  • Pull request authors: 2
  • Average comments per issue: 0.2
  • Average comments per pull request: 0.15
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • pduff-code (10)
  • williamhobbs (2)
  • MaximilienAndre (1)
  • owenroberts1 (1)
  • user9393931 (1)
  • KanwarOsama (1)
Pull Request Authors
  • elenya-grant (8)
  • RHammond2 (5)
  • caitlynclark (1)
Top Labels
Issue Labels
bug (1)
Pull Request Labels
enhancement (3) bug (1)

Packages

  • Total packages: 3
  • Total downloads:
    • pypi 2,581 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 4
  • Total maintainers: 2
proxy.golang.org: github.com/nrel/turbine-models
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.3%
Average: 5.5%
Dependent repos count: 5.7%
Last synced: 10 months ago
proxy.golang.org: github.com/NREL/turbine-models
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 10 months ago
pypi.org: turbine-models

Retrieves power curves and key data for commonly used turbine models in industry and R&D community.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 2,581 Last month
Rankings
Dependent packages count: 9.5%
Average: 31.5%
Dependent repos count: 53.5%
Maintainers (2)
Last synced: 10 months ago