WAVES 0.6.2

Wind Asset Value Estimation System

WAVES: Wind Asset Value Estimation System

Overview

Runs analyses for offshore wind projects by utilizing ORBIT (CapEx), WOMBAT (OpEx), and FLORIS (AEP) to estimate the lifecycle costs using NREL's flagship technoeconomic models.

Please visit our documentation site for API documentation, a reference guide, and examples.

Requirements

Python 3.10+, preferably 3.12

Environment Setup

Download the latest version of Miniconda for the appropriate OS. Follow the remaining steps for the appropriate OS version.

Using conda, create a new virtual environment:

conda create -n <environment_name> python=3.12
conda activate <environment_name>
conda install -c anaconda pip
conda config --set pip_interop_enabled true

# to deactivate
conda deactivate

Installation

Requires Python 3.10+.

For basic usage, users can install WAVES directly from PyPI, or from source for more advanced usage.

Pip

pip install waves

From Source

A source installation is great for users that want to work with the provided example, and potentially modify the code at a later point in time.

git clone https://github.com/NREL/WAVES.git
cd WAVES
pip install .

If working with the example, or running with Jupyter Notebooks, be sure to install the examples dependencies like the following:

pip install ".[examples]"

Tinkering

Use the -e for an editable installation, in case you plan on editing any underlying code.

pip install -e .

Usage

After installation, the package can imported:

python
import waves
waves.__version__

CLI

waves library-path configuration1.yaml configuration2.yaml