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Title: TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC)

Abstract

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.

Authors:
; ; ; ;
  1. National Renewable Energy Laboratory
Publication Date:
Other Number(s):
562
DOE Contract Number:  
EE0008895
Research Org.:
Marine and Hydrokinetic Data Repository (MHKDR); National Renewable Energy Laboratory
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office (EE-4WP)
Collaborations:
National Renewable Energy Laboratory
Subject:
16 TIDAL AND WAVE POWER; BEM; Boundary Element Method; Capytaine; Hydrokinetic; MATLAB; MHK; Marine; Modeling; NREL; Optimization; PIP; Pitching Internal Pump; Python; RFTS6; TEAMER; WEC; WEC-Sim; Wave Energy Converter; energy; iProTech; power; wave energy
OSTI Identifier:
2476668
DOI:
https://doi.org/10.15473/2476668

Citation Formats

Wynn, Nick, Stricklin, Andrew, Ogden, David, Grey, Nick, and Husain, Salman. TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC). United States: N. p., 2024. Web. doi:10.15473/2476668.
Wynn, Nick, Stricklin, Andrew, Ogden, David, Grey, Nick, & Husain, Salman. TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC). United States. doi:https://doi.org/10.15473/2476668
Wynn, Nick, Stricklin, Andrew, Ogden, David, Grey, Nick, and Husain, Salman. 2024. "TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC)". United States. doi:https://doi.org/10.15473/2476668. https://www.osti.gov/servlets/purl/2476668. Pub date:Thu Apr 11 04:00:00 UTC 2024
@article{osti_2476668,
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.},
doi = {10.15473/2476668},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Apr 11 04:00:00 UTC 2024},
month = {Thu Apr 11 04:00:00 UTC 2024}
}