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.

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.

The submitted information includes the final report and the supporting datasets in Excel format. Submitted data includes: - an Excel based techno-economic model with input-output (IO) analysis, costing functions in generalized form, performance metrics and computation, and scatter diagrams - an Excel of the Levelized Cost of Energy (LCoE) model data tables and plots in support of main report - the final TEAMER Post Access Report Objectives: The primary objectives of the current scope of work are to benchmark the LCoE of the Waveswing device, identify cost-reduction pathways through design sensitivity studies, and compare the results against an actively tuned point absorber that employs a hydrostatic spring-compensation mechanism. This reference wave energy converter (WEC) benchmark is herein referred to as the Reference Point Absorber (RPA). Work Carried Out: Re Vision started with a detailed review of the AWS R&D program to enable detailed implementation planning efforts. Subsequently, Re Vision engaged in a structured assessment process including the following: - LCoE model to benchmark the current AWS configuration and the RPA at a 100MW plant scale - A parametric performance model to model WEC performance for the Waveswing and the RPA - Development of scalable performance and cost models - Sensitivity studies to enable first-order design optimization - Identify core LCoE cost-reduction pathways to enable the targeting of sensible technology development pathways Background: The Waveswing (www.awsocean.com), developed by AWS Ocean Energy, is a submerged pressure differential WEC device that has completed sea trials at European Marine Energy Centre (EMEC) in Scotland. The Waveswing is a highly efficient WEC topology that has won third place (out of 92 design teams) in the wave energy prize competition organized by the US Department of Energy and has since undergone significant further development culminating in the recent at-sea testing at EMEC. The installation and testing at EMEC have shown that single-unit point absorbers are inherently expensive to build, deploy, and operate. They have also highlighted key operational issues that limit access to the device during extended periods during winter months. These critical issues are being addressed through the next evolution of AWS technology towards its multi-absorber platform. The current work was motivated by the need to review and benchmark the technology's commercialization pathway and provide an understanding of key cost-reduction drivers.

Spreadsheet which provides estimates of reductions in Levelized Cost of Energy for a surge-mode wave energy converter (WEC). This is made available via adoption of the advanced control strategies developed during this research effort.

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

This dataset presents techno-economic modeling results for the AquaHarmonics Wave Energy Converter (WEC), analyzing both baseline and optimized system configurations using the National Renewable Energy Laboratory's System Advisor Model (SAM). The models incorporate empirical performance data and simulate deployment at the PacWave South test site off the coast of Newport, Oregon. Included are SAM-generated reports and a project file detailing device and array specifications, energy production estimates, capital and operational costs, and resulting Levelized Cost of Energy (LCOE) calculations. The data provides comparative insights into design improvements and their impact on system performance and cost. SAM software is required to view and interact with the project file, and can be downloaded via the attached link.

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.

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.

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.

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.