The objective of this project was for the facility to conduct a techno-economic assessment (TEA) of the Maximal Asymmetric Drag Wave Energy Converter (MADWEC), developed by the University of Massachusetts Dartmouth (UMass Dartmouth). MADWEC is used for powering remote monitoring and Autonomous Underwater Vehicle (AUV) charging systems compared to other existing power supply options. The assessment estimates capital expenditures (CapEx), operational expenditures (OpEx), and power performance for 18 scenarios with the purpose of identifying key cost drivers, comparing total system cost, and comparing the power performance of the power supply options in terms of required installed capacity and estimated theoretical annual energy performance. The 18 assessed scenarios include two end-uses: 1) AUV charging and 2) offshore remote monitoring); three power sources: 1) MADWEC), 2) photovoltaic (PV) solar buoy, 3) and traditional battery swapping); and three locations; 1) nearshore, 2) far-offshore, and 3) high-latitude). In addition, other project goals included developing high level installation, operation, and maintenance plans for each scenario. The techno-economic model, created in Microsoft Excel, estimates CapEx, OpEx, and the power performance of each power supply source. The model has a dynamic format that allows custom inputs to accommodate future changes to the systems being assessed. This is a TEA for the MADWEC project, TEAMER RFTS 7 (request for technical support) program.

Small Scale WEC Performance Modeling Data is performance data from downscaled models of common WEC devices and their calculated performance outputs. This data is used by the Small WEC interactive modeling tool hosted by PRIMRE. The devices include a point absorber, a two-body point absorber (RM3), an oscillating surge device (OSWEC), and an attenuator type device (McCabe Wave Pump). One of the primary use cases for this work is to give an easy way to compare power output for a variety of WECs and model sizes.

Accurate numerical models are crucial for the development of wave energy converter (WEC) technologies, providing the means for power production and lifetime assessment, site selection, and design of mooring lines, PTO systems and controllers, among other aspects. This project aims at developing a wave-to-wire (w2w) numerical model for floating oscillating water column (OWC) devices based upon the Wave Energy Converter SIMulator (WEC-Sim) platform. To that end, nonlinear hydrodynamics, considering viscous and nonlinear Froude-Krylov effects were implemented, and new capabilities were articulated into the WEC-Sim platform, incorporating thermos-aerodynamic effects for the air-turbine. For this submission, a numerical model of a wave-to-wire controller was developed, and its efficiency and performance tested numerically. In addition to this, a mooring system was also included in the numerical model. The hydrodynamic coefficients for the OWC were calculated using different numerical solvers: ANSYS, WAMIT, Capyatine, and NEMOH. Additionally, two distinct contrasting modeling approaches were tested and the resulting data included. In the first approach, the WEC's main structure and the OWC are modeled as separate entities. In the second, the WEC and OWC are considered a single body, with the free surface of the oscillating water column added as an extra degree of freedom. Nonlinear hydrodynamic effects, including viscosity and nonlinear Froude-Krylov forces, are incorporated to assess their impact on the numerical analysis of OWC systems. This repository contains: - The final TEAMER Post Access Report - A comprehensive file of data and code for advanced WEC-Sim modeling and Wave-to-Wire control of Oscillating Water Column wave energy converters - A ReadMe file describing the project's Rigid Body Approach and Generalized Body Modes (GBM) Approach to modeling, the two control approaches (Wave-to-Wire (W2W) Optimal Control and Turbine Efficiency Maximization), and the contents of each folder within the data file - link to the WEC-Sim Project GitHub (https://wec-sim.github.io/WEC-Sim/main/index.html) - link to the WEC-Sim Wave Energy Converter Simulator MHKDR Submission (https://mhkdr.openei.org/submissions/616) The data file includes: - the preliminary results for the Rigid Body Approach using the pseudo spectral model - BEM results from different numerical solvers including WAMIT, NEMOH, Capytaine, and Ansys - model files and results for the Generalized Body Motion Approach, using a wave-to-wire optimal control - model files and results for the Generalized Body Motion Approach, using a Turbine Energy Maximization control approach - model files and results for the Generalized Body Mode Approach without any specific control approach - American Control Conference 2025 codes for the 2025 IEEE Conference on Control Technology and Applications (CCTA) accepted paper titled "Optimal Control of Floating Oscillating Water Column Wave Energy Converters". This paper will be added to this submission following its release.

Collaborative effort between AquaHarmonics, Sandia National Laboratories (SNL), and the National Renewable Energy Laboratory (NREL) to revise and validate Aquaharmonics' full wave to wire model, allowing for reduced uncertainty and increased understanding of design requirements of a utility scale wave energy converter (WEC). SNL and NREL in collaboration with AquaHarmonics, will set up and run WEC Simulator (WEC-Sim) models of the AquaHarmonics WEC, building off past model developments for inclusion of custom PTO (power take-off) dynamics. The intent is to review, update, and verify or validate a new WEC-Sim model against wave tank experimental data. Furthermore, the WEC-Sim model will be coupled to an energy storage system model to better understand the wave-to-wire functionality. Project is part of the TEAMER RFTS 2 (request for technical support) system of WEC research projects. Testing data can be found in the associated MHKDR link below.

Laminar Scientific's patented nearshore seesaw wave energy converter has several features assessed in this study utilizing the Wave Energy Converter SIMulator (WEC-Sim) Facility. One of these features is the ability to change spacing between two spherical floats of the seesaw to adjust to different sea-states and maximize rotational motion produced at the pivot. Conversely, severe wave conditions would warrant the minimization of rotational motion by minimizing float spacing. This study tested the hypothesis that the seesaw wave energy converter (WEC) can generate out-of-phase behavior between its fore and aft floats and that spacing adjustments will lead to improved power capture across a range of sea-states. This directory contains: - all Capytaine models, results, and visualization scripts (bemio.m) for the two-float configuration - slides shared during the biweekly updates, the final test plan and the final post-access report - all Capytaine models, results, and visualization scripts (bemio.m) for the tri-float configuration - all the WEC-Sim input files, models, test cases, results, visualizations, plots for the two-float configuration Post access report and GitHub repository reflecting the work done under the TEAMER RFTS 9 (request for technical support) award.

This dataset contains modeling files, computational results, and analysis reports from work focused on the initial optimization and design of a bio-inspired Wave Energy Converter (WEC). Data were produced using tools including WEC-Sim and WecOptTool, with supporting scripts and models related to hydrodynamic analysis and performance evaluation of various WEC configurations. The dataset includes derived transfer functions such as impedance and excitation, computational models developed in WEC-Sim, and figures and documents from the original application, test plan, and post-access report. All computational data and reports are provided, with units and methodologies documented within associated scripts and reports. This work was funded by TEAMER RFTS 10 (request for technical support) program.

This dataset includes results from simulations of NREL's hydraulic and electric reverse osmosis wave energy converter (HEREO WEC). Simulation runs include 135 wave cases that were based on the updated WEC-Sim model, which is linked below. The data represented in this repository is based on an updated WEC-Sim model using laboratory data to tune and refine the original WEC-Sim model for the V1.0 HERO WEC. The 135 wave cases represent waves with the following wave height and wave period ranges: - Significant Wave Height: 0.25 - 3.75m in 0.25m increments - Wave Period: 5 - 13 sec in 1 sec increments Each run was simulated using a Pierson-Moskowitz irregular wave spectrum with a 100 second ramp time, a total simulation time of 3,100 seconds, and a simulation time-step of 0.005s. A reference table has been included to map each multi condition run (MCR) case with each wave condition. Summary data set includes a spreadsheet and image files with matrices that are associated with data from simulation runs. All matrices cover the same significant wave height and wave periods from the simulation runs, in the same increments. The following matrices are included: - Power Abs: The average absorbed power from the WEC (calculated from anchor reaction force and heave velocity) - Power Hyd: The average hydraulic power output at pump (calculated from pump output flow and pressure) - Power - Hyd ROi: The average hydraulic power measured at the RO system inlet (calculated from RO system pressure and flow (pre-accumulator)) - Flow - Pump out: The average flowrate measured at the pump outlet - Flow - Perm: The average permeate (clean water) production - Flow - RO (pre): The average flowrate measured at the inlet of the RO system before the accumulators - Flow - RO (post): The average flowrate measured after the accumulator bank in the RO system - Pressure - RO: The average pressure measured at the inlet of the RO system This data set has been developed by the National Renewable Energy Laboratory, operated by the Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Water Power Technologies Office.

The data provided is part of a power take off damping optimization study. The power take off damping coefficient was swept from 0 to approximately 7000 N/m/s during a single regular wave test with a real time control of the motor/generator. The generated power from the LUPA (Lab Upgrade Point Absorber) wave energy converter is reported by the motor drive in watts. The csv files in this submission are the corresponding raw time series outputs for each mode of operation of LUPA (one body heave only, two body heave only, and two body six degrees of freedom). Data comes from testing in the Large WaveFlume (LWF) at the O.H. Hinsdale Wave Research Laboratory in Corvallis, OR.

Through the TEAMER program, Sandia National Laboratories (SNL) collaborated with IDOM Incorporated to study their MARMOK-Oscillating Water Column (MARMOK-OWC) wave energy conversion device. The study yielded a quantitative understanding of hydrodynamic pressures on the oscillating water column (OWC) device surfaces, the mooring tensions, and the dynamic performance of the device under extreme ocean wave conditions. This project utilized a comprehensive multi-phase Navier-Stokes flow solver with an overset body-fit mesh to predict fluid velocities and hydrodynamic forces on the MARMOK-OWC device. Computational Fluid Dynamics (CFD) analysis were conducted using OpenFOAM. This data includes the OpenFOAM cases (setup and data) to run the extreme events developed during the project. This project is part of the TEAMER RFTS 4 (request for technical support) program.

Collaborative effort between AquaHarmonics, Sandia National Laboratories (SNL), and the National Renewable Energy Laboratory (NREL) to revise and validate Aquaharmonics' full wave to wire model, allowing for reduced uncertainty and increased understanding of design requirements of a utility scale wave energy converter (WEC). SNL and NREL in collaboration with AquaHarmonics, will set up and run WEC Simulator (WEC-Sim) models of the AquaHarmonics WEC, building off past model developments for inclusion of custom PTO (power take-off) dynamics. The intent is to review, update, and verify or validate a new WEC-Sim model against wave tank experimental data. Furthermore, the WEC-Sim model will be coupled to an energy storage system model to better understand the wave-to-wire functionality. This data set is described in the "Test Log" excel file. Please refer to that document for details on each specific test date/time, constraint parameters and model hardware setup details. Sim model can be found in the associated MHKDR link below.