Releases: symbiotic-engineering/FWT_WEC_Applied_Energy_2022
Applied Energy 2022
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
Optimization
: Contains the main codecheck_results
and other helper functions to calculate and optimize the energy storage capacity, power supply and demand, losses, and cost.Results
: Contains the final results that are published.
How to use
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.