FWT-WEC-Cost-Dynamics

This repository is an open source codebase that optimizes the energy storage capacity, losses, and cost for a system of combined wave energy converters with offshore wind-wave farms with different renewable energy penetration levels. The floating wind turbine (FWT) used is Siemens SWT-3.6 MW , and a spar platform is used for mooring foundation. The spar buoy serves as a point-absorber wave energy converter (WEC).

Context

The project is part of research in the Symbiotic Engineering Analysis (SEA) Lab

Citation

• Kluger, J. M., Haji, M. N., & Slocum, A. H. (2023). The power balancing benefits of wave energy converters in offshore wind-wave farms with energy storage. Applied Energy, 331, 120389.

Authors

• Jocelyn M. Kluger, jociek@alum.mit.edu
• Maha Haji, maha@cornell.edu
• Alexander H. Slocum, slocum@mit.edu

File Structure

• Dynamics: Contains the main code run_code and other helper functions to simulate the dynamics of the WEC and FWT.
• Optimization: Contains the main code check_results and other helper functions to calculate and optimize the energy storage capacity, power supply and demand, losses, and cost.
• Data: Contains the data needed as input for main codes (already included in the main folders, Dynamics and Optimization).
• pubs: Published manuscripts with the results from the codebase.

How to use

• To run the dynamics code, open and run run_code.m. Make sure all the helper functions and input data are in the same folder as the main code.
• To run the optimization code, open and run check_results.m. You can change the renewable energy penetration level as desired. Make sure all the helper functions and input data are in the same folder as the main code.

Dependencies The following packages are used in this code:

• MATLAB
• Optimization Toolbox
• Statistics and Machine Learning Toolbox

License

This project is released open-source under the MIT License. The hydrodynamics data was generated from WAMIT and WEC-Sim, which is publicly available.