turbine-models 0.2.2

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

NLR 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:

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://natlabrockies.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

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

   git clone https://github.com/NatLabRockies/turbine-models.git
   

2. Navigate to turbine-models

   cd turbine-models
   

3. 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
   

4. 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 -e flag 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.