The development of this dataset was funded by the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, Water Power Technologies Office to improve our understanding of the U.S. wave energy resource and to provide critical information for wave energy project development and wave energy converter design. This high resolution publicly available long-term wave hindcast dataset will - when complete - cover the entire U.S. Exclusive Economic Zone (EEZ). Available data includes the Hawaiian Islands, West and Atlantic Coasts, with future additions including the Alaskan coasts, Gulf of Mexico and the Freely associated States. The data can be used to investigate the historical record of wave statistics at any U.S. site. As such, the dataset could also be of value to any entity with marine operations inside the U.S. EEZ. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.

This submission from AMEC (the Atlantic Marine Energy Center) includes data from an ocean field deployment of a wave powered water pump in March 2023. The wave pump is an upweller device, designed to enhance macroalgal aquaculture. The wave pump device was deployed off the coast of Isles of Shoals Appledore Island in Maine, USA. The data were collected using a custom-built DAQ module comprised of Arduino Unos. GPS time stamp accompanies the data. The data are volumetric flow rate from the wave pump, and relative motion of the device between float and spar buoys. Flow rate is measured by flow meter, and relative motion is measured by lidar. Calibration data for the lidar and flow meter sensors are included. This data set also includes synchronous Sofar Spotter buoy data from a mooring approximately 300 feet away from the wave pump mooring. Video data from the deployment are included from both on-board the device sporadically throughout the deployment, and from a webcam for a short duration of the deployment. Hydrophone data were also taken co-currently, and are available by contacting Martin Wosnik at the University of New Hampshire. The Matlab code used to process the field data is incorporated. A biological assessment is included which aided the NEPA consultation process, prior to conducting the field deployment. A WEC-Sim numerical model of the wave pump, and a re-design effort are part of this work. Code used to validate the WEC-Sim model from the field data are also included.

This dataset includes data from the Monterey Bay Aquarium Research Institute (MBARI) wave energy converter (WEC) and a nearby located Sofar Spotter buoy. The Monterey Bay Aquarium Research Institute has developed and deployed a small two-body point absorber wave energy device suitable to autonomous underwater vehicle, sensor system, and even aquaculture farm needs. For more information on the MBARI WEC see the research journal attached in the submission.

This Water Power Technologies Office (WPTO) High Resolution Tidal Hindcast dataset (us-tidal) provides standardized tidal energy data for five strategically selected U.S. coastal locations with significant tidal energy potential. Developed collaboratively by Pacific Northwest National Laboratory (PNNL) and National Laboratory of the Rockies (NLR), this dataset is funded by the U.S. Department of Energy's WPTO Marine Energy Resource Assessment and Characterization project. Generated using FVCOM 4.3.1 (Finite Volume Community Ocean Model) [1], each locations' dataset contains one year of high-resolution tidal energy data including eastward and northward sea water velocities, surface elevation, calculated speed, flow direction, and power density across 10 uniform sigma layers. The data follows CF-1.10, ACDD-1.3, and ME Data Pipeline-1.0 conventions and meets IEC 62600-201 [2] Stage 1 tidal resource analysis standards in most areas. The five locations include Aleutian Islands and Cook Inlet (Alaska), Piscataqua River (New Hampshire), Puget Sound (Washington), and Western Passage (Maine), with temporal resolutions ranging from half-hourly to hourly and spanning complete annual cycles for each dataset. This standardized dataset is intended to support theoretical and technical resource potential assessments, commercial development planning, policy analysis, environmental planning, and research applications for the marine energy community. Locations: * Aleutian Islands, Alaska (1 Year, 2010-2011, hourly, 797,978 grid faces) * Cook Inlet, Alaska (1 Year, 2005, hourly, 392,002 grid faces) * Piscataqua River, New Hampshire (1 Year, 2007, half-hourly, 292,927 grid faces) * Puget Sound, Washington (364 Days, 2015, half-hourly, 1,734,765 grid faces) * Western Passage, Maine (1 Year, 2017, half-hourly, 231,208 grid faces) Variables * Latitude and longitude [degrees] for element face center and vertices * Eastward and Northward sea water velocity (u, v) [meters per second] * Depth and Surface Elevation calculated to relative to NAVD88 [meters] * Calculated sea water speed [meters per second] * Calculated sea water to direction [degrees clockwise from true north] * Calculated sea water power density [watts per square meter] * Calculated surface elevation relative to Mean Sea Level (MSL) [meters] * Calculated total depth and layer depths relative to MSL [meters] Model Configuration * FVCOM 4.3.1 [1] with unstructured triangular mesh * 10 uniform sigma (depth) layers from surface to seafloor * Sub-500m grid resolution in areas with tidal energy potential. * 12 tidal constituents from OSU TPXO boundary forcing

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.

Summary tables and plots of six International Electrotechnical Commission (IEC) wave parameters, including time series, scatter plots, and tables summarizing model performance.

This submission has wave resource assessments which were conducted for six locations based on IEC requirements using the DOE WPTO Hindcast data and MHKiT. The locations are chosen to provide varying wave climates and include PacWave South, OR; Wave Energy Testing Site (WETS), HI; Molokai, HI; St. Paul, AK; Yakutat, Ak; and Sebastion, FL. It includes the data gathered and the resulting report. This submission also includes a link to Hindcast dataset and some relevant software.

This submission has wave resource assessments which were conducted for six locations based on IEC requirements using the DOE WPTO Hindcast data and MHKiT. The locations are chosen to provide varying wave climates and include PacWave South, OR; Wave Energy Testing Site (WETS), HI; Molokai, HI; St. Paul, AK; Yakutat, Ak; and Sebastion, FL. It includes the data gathered and the resulting report. This submission also includes a link to Hindcast dataset and some relevant software.

Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.

Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.