TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC)
This project focused on developing an automated workflow to evaluate and optimize the iProTech Pitching Inertial Pump (PIP) wave energy converter (WEC) using open-source Python packages and the MATLAB/Simulink tool, WEC-Sim. The process involved parameterizing key design variables, running time-domain simulations, and performing sensitivity analyses to determine their impact on power output. The workflow, designed for the PIP device, is generalized and can be extended to optimize other WECs that can be simulated in WEC-Sim. This work establishes a foundation for future time-domain-based WEC design optimizations.
Included in this submission are all figures from the final report and the model inputs required to generate them. This includes Python scripts with inputs that produce the meshes, boundary element method (BEM) models, hydrodynamic coefficients, and the WEC-Sim models used for time-domain analyses. Although data for every single run is not included to save space, all of it can be reproduced using the provided models. Detailed instructions for setting up the environment and running the codes are also included.
Citation Formats
TY - DATA
AB - This project focused on developing an automated workflow to evaluate and optimize the iProTech Pitching Inertial Pump (PIP) wave energy converter (WEC) using open-source Python packages and the MATLAB/Simulink tool, WEC-Sim. The process involved parameterizing key design variables, running time-domain simulations, and performing sensitivity analyses to determine their impact on power output. The workflow, designed for the PIP device, is generalized and can be extended to optimize other WECs that can be simulated in WEC-Sim. This work establishes a foundation for future time-domain-based WEC design optimizations.
Included in this submission are all figures from the final report and the model inputs required to generate them. This includes Python scripts with inputs that produce the meshes, boundary element method (BEM) models, hydrodynamic coefficients, and the WEC-Sim models used for time-domain analyses. Although data for every single run is not included to save space, all of it can be reproduced using the provided models. Detailed instructions for setting up the environment and running the codes are also included.
AU - Wynn, Nick
A2 - Stricklin, Andrew
A3 - Ogden, David
A4 - Grey, Nick
A5 - Husain, Salman
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15473/2476668
KW - MHK
KW - Marine
KW - Hydrokinetic
KW - energy
KW - power
KW - wave energy
KW - WEC
KW - NREL
KW - iProTech
KW - PIP
KW - Optimization
KW - Capytaine
KW - WEC-Sim
KW - Wave Energy Converter
KW - Pitching Internal Pump
KW - Python
KW - RFTS6
KW - TEAMER
KW - Boundary Element Method
KW - BEM
KW - Modeling
KW - MATLAB
LA - English
DA - 2024/04/11
PY - 2024
PB - National Renewable Energy Laboratory
T1 - TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC)
UR - https://doi.org/10.15473/2476668
ER -
Wynn, Nick, et al. TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC). National Renewable Energy Laboratory, 11 April, 2024, MHKDR. https://doi.org/10.15473/2476668.
Wynn, N., Stricklin, A., Ogden, D., Grey, N., & Husain, S. (2024). TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC). [Data set]. MHKDR. National Renewable Energy Laboratory. https://doi.org/10.15473/2476668
Wynn, Nick, Andrew Stricklin, David Ogden, Nick Grey, and Salman Husain. TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC). National Renewable Energy Laboratory, April, 11, 2024. Distributed by MHKDR. https://doi.org/10.15473/2476668
@misc{OEDI_Dataset_8099,
title = {TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC)},
author = {Wynn, Nick and Stricklin, Andrew and Ogden, David and Grey, Nick and Husain, Salman},
abstractNote = {This project focused on developing an automated workflow to evaluate and optimize the iProTech Pitching Inertial Pump (PIP) wave energy converter (WEC) using open-source Python packages and the MATLAB/Simulink tool, WEC-Sim. The process involved parameterizing key design variables, running time-domain simulations, and performing sensitivity analyses to determine their impact on power output. The workflow, designed for the PIP device, is generalized and can be extended to optimize other WECs that can be simulated in WEC-Sim. This work establishes a foundation for future time-domain-based WEC design optimizations.
Included in this submission are all figures from the final report and the model inputs required to generate them. This includes Python scripts with inputs that produce the meshes, boundary element method (BEM) models, hydrodynamic coefficients, and the WEC-Sim models used for time-domain analyses. Although data for every single run is not included to save space, all of it can be reproduced using the provided models. Detailed instructions for setting up the environment and running the codes are also included.},
url = {https://mhkdr.openei.org/submissions/562},
year = {2024},
howpublished = {MHKDR, National Renewable Energy Laboratory, https://doi.org/10.15473/2476668},
note = {Accessed: 2025-05-04},
doi = {10.15473/2476668}
}
https://dx.doi.org/10.15473/2476668
Details
Data from Apr 11, 2024
Last updated Nov 11, 2024
Submitted Aug 27, 2024
Organization
National Renewable Energy Laboratory
Contact
Stein Housner
Authors
Original Source
https://mhkdr.openei.org/submissions/562Research Areas
Keywords
MHK, Marine, Hydrokinetic, energy, power, wave energy, WEC, NREL, iProTech, PIP, Optimization, Capytaine, WEC-Sim, Wave Energy Converter, Pitching Internal Pump, Python, RFTS6, TEAMER, Boundary Element Method, BEM, Modeling, MATLABDOE Project Details
Project Name Testing Expertise and Access for Marine Energy Research
Project Lead Lauren Ruedy
Project Number EE0008895