The Wave Energy Converter Design Optimization Toolbox (WecOptTool) is an open-source software for conducting optimization studies of wave energy converters (WEC) and their control strategies. The software uses a co-design (WEC & controls) approach where for each WEC design considered in the optimization, the optimal control statetegy for that design is found. Practically this is implemented as two nested optimization loops. One key feature is the use of a pseudo-spectral solution method capable of dealing with both arbitrary nonlinear constraints and nonlinear dynamics. This allows for the optimization study (e.g., to find the WEC geometry that results in the largest power capture performance) within the WEC’s constraints (e.g., maximum power take-off force, maximum PTO extension, etc.). The code is written to support arbitrary optimization studies, control strategies, and constraints. However, common functionalities such as optimal PTO force and average PTO power, are implemented. The code is written as a Python package and the source code can be found in the GitHub repository.


A MATLAB version of WecOptTool was previously released and, while no longer being developed, is still available on GitHub: WecOptTool-MATLAB.

Getting Started

See installation instructions in the GitHub repository. The GitHub repository also has instructions for raising issues, asking questions, and contributing. You can work through examples provided on the Tutorials page.


WecOptTool is developed by Sandia National Laboratories. The developers would also like to acknowledge benefit from past collaborations with Data Only Greater and the Oregon State University Design Engineering Lab.

Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.