WEIS, Wind Energy with Integrated Servo-control, performs multifidelity co-design of wind turbines. WEIS is a framework that combines multiple NREL-developed tools to enable design optimization of floating offshore wind turbines.

Author: NREL WISDEM & OpenFAST & Control Teams

This software is a version 0.0.1.

See local documentation in the docs-directory or access the online version at https://weis.readthedocs.io/en/latest/

WEIS integrates in a unique workflow four models:

• WISDEM is a set of models for assessing overall wind plant cost of energy (COE).
• OpenFAST is the community model for wind turbine simulation to be developed and used by research laboratories, academia, and industry.
• TurbSim is a stochastic, full-field, turbulent-wind simulator.
• ROSCO provides an open, modular and fully adaptable baseline wind turbine controller to the scientific community.

In addition, three external libraries are added:

• pCrunch is a collection of tools to ease the process of parsing large amounts of OpenFAST output data and conduct loads analysis.
• pyOptSparse is a framework for formulating and efficiently solving nonlinear constrained optimization problems.

Software Model Versions:

The core WEIS modules are:

• aeroelasticse is a wrapper to call OpenFAST
• control contains the routines calling the ROSCO_Toolbox and the routines supporting distributed aerodynamic control devices, such trailing edge flaps
• gluecode contains the scripts glueing together all models and libraries
• multifidelity contains the codes to run multifidelity design optimizations
• optimization_drivers contains various optimization drivers
• schema contains the YAML files and corresponding schemas representing the input files to WEIS

On laptop and personal computers, installation wi 81C9 th Anaconda is the recommended approach because of the ability to create self-contained environments suitable for testing and analysis. WEIS requires Anaconda 64-bit. However, the conda command has begun to show its age and we now recommend the one-for-one replacement with the Miniforge3 distribution, which is much more lightweight and more easily solves for the package dependencies. WEIS is currently supported on Linux, MAC and Windows Sub-system for Linux (WSL). Installing WEIS on native Windows is not yet supported, but planned in 2024.

The installation instructions below use the environment name, "weis-env," but any name is acceptable. For those working behind company firewalls, you may have to change the conda authentication with conda config --set ssl_verify no. Proxy servers can also be set with conda config --set proxy_servers.http http://id:pw@address:port and conda config --set proxy_servers.https https://id:pw@address:port.

0. On the DOE HPC system eagle, make sure to start from a clean setup and type

   module purge
   module load conda        
   

1. Setup and activate the Anaconda environment from a prompt (WSL terminal on Windows or Terminal.app on Mac)

   conda env create --name weis-env -f https://raw.githubusercontent.com/WISDEM/WEIS/main/environment.yml python=3.9
   conda activate weis-env                          # (if this does not work, try source activate weis-env)
   sudo apt update                                  # (WSL only, assuming Ubuntu)
   

2. Use conda to add platform specific dependencies.

   conda config --add channels conda-forge
   conda install -y petsc4py mpi4py                                     # (Mac / Linux only)   
   conda install -y compilers                                           # (Mac only)   
   sudo apt install gcc g++ gfortran libblas-dev liblapack-dev  -y      # (WSL only, assuming Ubuntu)
   

3. Clone the repository and install the software

    git clone https://github.com/WISDEM/WEIS.git
    cd WEIS
    git checkout branch_name                         # (Only if you want to switch branches, say "develop")
    python setup.py develop                          # (The common "pip install -e ." will not work here)
   

4. Instructions specific for DOE HPC system Eagle. Before executing the setup script, do:

    module load comp-intel intel-mpi mkl
    module unload gcc
    python setup.py develop
   

NOTE: To use WEIS again after installation is complete, you will always need to activate the conda environment first with conda activate weis-env (or source activate weis-env). On Eagle, make sure to reload the necessary modules

If you plan to contribute code to WEIS, please first consult the developer guide.

For software issues please use https://github.com/WISDEM/WEIS/issues.