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

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.

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 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.

The work aims to achieve optimal tidal energy conversion through a comprehensive approach of modeling, optimization, and control hardware-in-the-loop (CHIL) validation. By developing accurate models and employing optimization techniques, it seeks to identify efficient system configurations and control strategies. HIL validation will ensure the performance and reliability of the optimized tidal energy conversion system. The preparation of the present manual has been supported by the U.S. Department of Energy.

The over-arching project objective is to fully develop and validate optimal controls frameworks that can subsequently be applied widely to different WEC devices and concepts. Optimal controls of WEC devices represent a fundamental building block for WEC designers that must be considered as an integral part of every stage of device development. Using a building-blocks approach to optimal controls development, this effort will result in the full development of a feed-forward and feed-back control approach and a wave prediction system. Phase I focused primarily on numerical offline optimization and validation using wave tank testing of three industry partners? WEC devices, including CalWave, Ocean Energy, and Resolute Marine Energy. These industry partnerships allowed us to identify optimal control strategies for these different WEC topologies at different maturity levels. Phase II focused on demonstrating an integrated control system on a custom-built prototype for at-sea testing. A secondary focus during phase II is to adapt our systems identification, controls and wave-prediction frameworks to become more robust and comprehensive in respect to capability, robustness, and reliability. RE Vision Consulting leads this project and has compiled the final public domain report included in this submission.

The over-arching project objective is to fully develop and validate optimal controls frameworks that can subsequently be applied widely to different WEC devices and concepts. Optimal controls of WEC devices represent a fundamental building block for WEC designers that must be considered as an integral part of every stage of device development. Using a building-blocks approach to optimal controls development, this effort will result in the full development of a feed-forward and feed-back control approach and a wave prediction system. Phase I focused primarily on numerical offline optimization and validation using wave tank testing of three industry partners? WEC devices, including CalWave, Ocean Energy, and Resolute Marine Energy. These industry partnerships allowed us to identify optimal control strategies for these different WEC topologies at different maturity levels. Phase II focused on demonstrating an integrated control system on a custom-built prototype for at-sea testing. A secondary focus during phase II is to adapt our systems identification, controls and wave-prediction frameworks to become more robust and comprehensive in respect to capability, robustness, and reliability. RE Vision Consulting leads this project and has compiled the final public domain report included in this submission.

The overall project objective is to materially decrease the leveled cost of energy (LCOE) of the Columbia Power (CPower) StingRAY utility-scale wave energy converter (WEC). This will be achieved by reducing structural material and manufacturing costs and increasing energy output. In this Project, improving the overall Power-to-Weight ratio (PWR) is accomplished through lowering design margins?allowing for weight reduction and more efficient, cost-effective WEC manufacturing and assembly?and by optimizing mass-related WEC performance parameters, such as center of gravity and system inertia. A mixed materials approach to further structural optimization was developed under this Project and validated with extensive laboratory structural testing. This approach substitutes fiber-reinforced plastic (FRP) for steel where appropriate. The benefits of steel are maintained where most useful, for instance at structural joints where the stiffness of steel is required, and the complex geometry is more readily fabricated with steel. However, there are structural spans whose simple shapes are readily fabricated with mandrel-wound FRP and where significant cost and weight savings can be found. An adhesive, double lap shear joint is used to join the FRP and steel subcomponents.

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.

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.