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.

This set of data was the result of the TEAMER project led by Adam Keester (Sandia) and Dr. Mohamed Shabara (NREL) on 'enhancing and optimization of maximal asymmetric drag wave energy converter (MADWEC) performance through numerical simulations' in support of research efforts at UMass Dartmouth on developing a wave energy conversion device (MADWEC). This project was conducted and structured around three key technical tasks: (1) parameter search using frequency domain analysis for buoy dimensions and added mass (2) Wave Analysis MIT (WAMIT) support to achieve the added mass predicted in Task 1 with new ballast geometry(s) (3) modify existing WEC-Sim models that represent the highest fidelity model of the MADWEC. This submission includes: - Processed datasets corresponding to Tasks 1-3, and all corresponding subtasks - RFTS award information, biweekly presentations, the testing plan with task and subtask descriptions, and final report - The final TEAMER Report This project is part of the TEAMER RFTS 10 (request for technical support) program.

The University of Massachusetts (UMass) is developing a 2-body wave energy converter (WEC) device that is converting mechanical power into electricity using a mechanical motion rectifier that allows the system to couple to a flywheel. UMass has completed numerical modeling, wave tank testing, and PTO sub-system testing and needed assistance in developing a techno-economic model to enable optimization of their topology, comparison to a generic heaving point absorber topology, and guide the next steps in their development efforts. The core objective was to develop a techno-economic approach and modeling tool that allows benchmarking of the two topologies across a wide range of scales to evaluate their respective competitiveness in different application spaces. This data includes the final report as well as a supporting spreadsheet containing the data produced for this report.

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.

The CFD (computational fluid dynamics) results for the Mass of Water Turbine (MOWT) current energy converter from MWNW Consulting (formerly Ecosse IP). Each case is self-contained in its own tar.gz archive file. The archive contains the scripts required to perform a full simulation using OpenFOAM v1906. The scripts to process the output and plot forces are included in "Plotting Scripts", and all computational meshes generated are included in "Computational Grids". Project is part of the TEAMER RFTS 2 (request for technical support) program.

The TidGen Power System generates emission-free electricity from tidal currents and connects directly into existing grids using smart grid technology. The power system consists of three major subsystems: shore-side power electronics, mooring system, and turbine generator unit (TGU) device. This submission includes the preliminary Installation, Operation & Maintenance (IO&M) and testing plan. In 2012, the first TidGen device was installed in Cobscook Bay utilizing a piled foundation, which required extensive, costly geotechnical survey and on-water effort on the order of several weeks to install the system. The Advanced TidGen 2.0 Power System has adapted the Buoyant Tensioned Mooring System (BTMS) that reduces on-water deployment time to within a tidal cycle. The device has been designed to match the resources typically available in remote regions, such as Igiugig, Alaska, which are the immediate commercial market for ORPC's technology. The system has been designed to meet requirements throughout the entire lifecycle concept of operations.

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.

This data is a result of an experimental campaign to characterize the hydrodynamics and performance of a laboratory-scale oscillating surge wave energy converter (OSWEC). The device was 85 cm wide, 1.4 meters tall, and 14 cm thick and was tested in the Sea Wave Environmental Lab (SWEL) wave tank at the National Renewable Energy Laboratory which is 2.5 meters wide with a water depth of 1.3 meters. The device included fifteen pressure sensors on the flap face, two 6-axis load cells at the hinge, an encoder to measure flap position, and a motor to emulate a PTO and absorb power. We provide a full summary of the device and experiments in the TEAMER Post-Access Report titled "Optimal control of an oscillating surge wave energy converter". This DropBox directory contains data from four types of experiments: 1. Buoyancy Tests - We measure the torque required to hold the flap at different angles to characterize buoyancy torque as a function of position. 2. Locked Flap (Excitation) Tests - We measure the torque on a locked flap subject to different wave parameters to extract the excitation torque coefficient. 3. Forced Oscillation (Radiation) Tests - We force the flap to oscillate at different periods and amplitudes to extract added inertia and radiation damping coefficients. 4. Control Tests - We subject the flap to different waves and use a linear damping controller to emulate a PTO and extract absorbed power and capture width ratio (CWR) as a function of wave and control parameters. This data set includes raw and processed time series data from the encoder and load cells, as well as calculated hydrodynamic and performance parameters from the tests. We include a README document as well as a spreadsheet with individual test details as a reference. Funding for this experimental campaign was provided by the TEAMER Program under RFTS 10 and was a collaboration between the University of Washington and the National Renewable Energy Laboratory.

This dataset contains the full set of training materials used in a marine hydrokinetic (MHK) modeling workshop conducted by Sandia National Laboratories for the University of Alaska Fairbanks, funded through the U.S. Department of Energy's TEAMER program. The workshop focused on the use of the SNL-Delft3D-CEC and SNL-SWAN modeling tools, which simulate the hydrodynamic and environmental impacts of current and wave energy converters, respectively. The materials were developed to support the evaluation of physical and environmental interactions of MHK devices using open-source modeling frameworks. The dataset includes presentations, tutorials, theoretical documentation, and software setup instructions related to modeling wave and current energy devices. It covers both conceptual and real-world applications, such as channel flow and riverine or coastal sites like the Tanana River and Yakutat, Alaska. Instructions for installing and customizing the Delft3D and SWAN modeling suites with the SNL-developed modules are included, along with test cases and example scenarios. All data units and modeling parameters are labeled, and the dataset assumes access to proprietary software components (e.g., Deltares license files for Delft3D FM Suite) and some familiarity with hydrodynamic modeling tools.

This is the post-access report for a Teamer-funded effort to optimize the SurgeWEC device, a near-shore pivoting flap wave energy conversion device used to desalinate water. Parametrically driven cost and performance models enabled an integrated optimization approach at the farm scale. The metric used for this study was the levelized cost of water (LCOW). The data-set includes: 1. A public-domain post access report 2. An excel file with the data and plots generated under this study