Field testing of a dual sonar system for detecting woody debris in natural settings was conducted at the Tanana River Test Site (TRTS) in Nenana, AK between 8/26 and 9/23, 2015. The TRTS is approximately 65 miles south of Fairbanks and is well suited for testing hydrokinetic energy generation technologies and environmental monitoring technologies such as the dual sonar system used here in realistic settings.

Four days (June 14-17, 2021) of ARIS acoustic camera data from the main research barge of the Tanana River Test Site operated by UAF. Data are collected sidelooking with the turbine in part of the field of view. This data was collected as part of a fish collision risk study. An acoustic camera was used rather than a traditional underwater camera due to the high levels of suspended sediments at the Tanana River Test Site.

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 a technical report on control system development, supporting simulations and supervisory control and data acquisition (SCADA) system requirements. Also included is the final design of the control and SCADA system, with supporting simulations and risk mitigation control strategies to address major system technical risks.

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 technical report on deployment and mooring system design requirements and subsystem risk analysis. A primary goal of the Advanced TidGen Power System project is to adapt ORPC's buoyant tensioned mooring system (BTMS) to the Advanced TidGen turbine generator unit (TGU). The TGU, as determined at the System Definition Review held in June 2017, is a dual-driveline, stacked system that implements hydrodynamic improvements for turbine design, turbine-turbine interactions and turbine-structure interactions. A major challenge for mooring and deployment system design will be to account for the substantial increases in loading incurred from increased power production and the resulting system drag during operation. Figure 1 shows the current system as presented for the Preliminary Design Review held in October 2017. This document addresses major risks, preventative measures, and mitigation strategies that have influenced this design and continue to drive development work toward the next design iteration. Also included is the technical report on mooring system design, supporting analytical models, and subsystem FMEA. Maine Marine Composites (MMC) has developed a simulation model to design a mooring system for Ocean Renewable Power Company) TidGen tidal energy converter. This document describes the simulation model, results, and the status of the current mooring system design. A preliminary anchor design is also proposed by MMC. The anchor is primarily a concrete gravity anchor. Structural steel is embedded inside the concrete to provide strength for the chain connection points. Steel L Channels also protrude underneath the concrete to act as a skirt to provide additional resistance.

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 field Test Plans for subsystem and system tests.

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 a technical report describing the advanced technology and final system design. Includes detailed descriptions of each component of each subsystem.

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 technical report on the composite trade study for chosen material sets.

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 contains supporting CFD files, case files and geometry for the Advanced TidGen. TSR = Tip speed ratio Cp = Power coefficient Cl = Lift coefficient Cd = Drag coefficient

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 turbine hydrodynamic design, with supporting CFD analysis, structural analysis, and design description for TidGen versions 1.0 and 2.0.

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. ProteusDS is a full featured dynamic analysis software capable of simulating vessels, structures, lines, and technologies in harsh marine environments. This simulation software that was used to test the Advanced TidGen Power System. This submission includes the supporting Proteus simulation files.

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 a summary presentation as an overview of the BP1 report for the Advanced TidGen Project.

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 system fabrication plan for Advanced TidGen project.

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 a technical report with final design models, supporting CFD analysis, structural analysis, and development plan.

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 final presentation on all technical work performed, the final subsystem design, supporting analytical models, risk analysis and development plan.

"The Africa Power–Mining Database 2014 shows ongoing and forthcoming mining projects in Africa categorized by the type of mineral, ore grade, size of the project. The database draws on basic mining data from Infomine surveys, the United States Geological Survey, annual reports, technical reports, feasibility studies, investor presentations, sustainability reports on property-owner websites or filed in public domains, and mining websites (Mining Weekly, Mining Journal, Mbendi, Mining-technology, and Miningmx). Comprising 455 projects in 28 SSA countries with each project’s ore reserve value assessed at more than $250 million, the database collates publicly available and proprietary information. It also provides a panoramic view of projects operating in 2000–12 and anticipated demand in 2020. The analysis is presented over three timeframes: pre-2000, 2001–12, and 2020 (each containing the projects from the previous period except for those closing during that previous period)."

Experimental data from the wave tank test of the Advanced control systems developed by Northwest Energy Innovations (NWEI) for the Azura at the University of Maine in Orono (UMO). Summary data is included utilizing the WEC Lab Testing Content Model v2.1. All raw and processed experimental data files are also included. The test plan and test report are included, along with the test plan and the test report from prior, passively controlled tests of the same model for reference.

This submission contains a summary of tank test derived WEC device behavior in different irregular sea states. CalWave sought to conduct experimental tank testing of scaled prototype units early on in the design process to obtain a first estimation of device performance for sea states of importance and to perform system identification/PTO tests. These experimental tests primarily aim to assess the wave to structure conversion efficiency and device behavior. Moreover, distinct model parameters of high interest were experimentally tested to validate numerical device modeling and optimization. These tests focused on system identification rather than performance maximization.

Experimental tank testing report for CalWave's 1:20 & 1:30 scale prototype testing at the Lir National Ocean Test Facility in Ireland. Testing was completed in January 2018. Test report includes description of the scaled prototype, primary testing objectives, instrumentation and basin calibration.

Final report including results and conclusions of the New Technology Qualification (NTQ) review of CalWave Power Technologies Inc's xWave technology, performed by American Bureau of Shipping.

Combined heat and power (CHP)—sometimes referred to as cogeneration—provides a cost-effective, near-term opportunity to improve our nation's energy, environmental, and economic future. CHP is an efficient and clean approach to generating on-site electric power and useful thermal energy from a single fuel source. The Combined Heat and Power (CHP) Technical Potential in the United States market analysis report provides data on the technical potential in industrial facilities and commercial buildings for “topping cycle” CHP, waste heat to power CHP (WHP CHP), and district energy CHP in the U.S. Data are provided nationally by CHP system size range, facility type, and state. Each state’s technical potential is shown in detail on state profile pages that include break-downs by size range and facility type. The CHP Deployment Program provides stakeholders with the resources necessary to identify CHP market opportunities and support implementation of CHP systems. The DOE database of CHP installations provides information about CHP systems currently operating in the United States including locations, organizations served, and facility characteristics. Features include search and filter options and the ability to download a list of operating CHP systems and national-level summary tables. More than 120 CHP Project Profiles compiled by the CHP TAPs can be searched by state, CHP TAP, market sector, North American Industry Classification System (NAICS) code, system size, technology/prime mover, fuel, thermal energy use, and year installed. The Combined Heat and Power (CHP) for Resiliency Accelerator supports consideration of CHP and other distributed generation solutions for critical infrastructure resiliency planning at the state, local, and utility levels. As a collaborative effort with stakeholders, the Accelerator is developing tools, templates, and other resources to promote deployment of CHP at critical infrastructure facilities. Internet Archive URL: https://web.archive.org/web/2018*/https://www1.eere.energy.gov/manufacturing/distributedenergy/chp_database/

The Ocean Renewable Power Company's (ORPC's) goal is to design, develop, and test hydrofoils with large deflections. The effects of the deflections on cross-flow turbine performance would be evaluated in order to inform design considerations for full-scale water turbines and other marine hydrokinetic devices. Finite element models - NASTRAN files Model scale turbines tested in UNH tow tank Model loads from CFD models

The Ocean Renewable Power Company's (ORPC's) goal is to design, develop, and test hydrofoils with large deflections. The effects of the deflections on cross-flow turbine performance would be evaluated in order to inform design considerations for full-scale water turbines and other marine hydrokinetic devices. OpenFOAM V1912 files for straight foil model scale turbines in the University of New Hampshire tow tank. Strut Locations = (0.13, 0.225, 0.450, 0.675, 0.900) [m] Tip speed ratio = 2.40

The Ocean Renewable Power Company's (ORPC's) goal is to design, develop, and test hydrofoils with large deflections. The effects of the deflections on cross-flow turbine performance would be evaluated in order to inform design considerations for full-scale water turbines and other marine hydrokinetic devices. CFD models of helical model scale turbines tested at UNH OpenFOAM v1912 Tip Speed Ratio (TSR) = 3.00 Different strut configurations

The Ocean Renewable Power Company's (ORPC's) goal is to design, develop, and test hydrofoils with large deflections. The effects of the deflections on cross-flow turbine performance would be evaluated in order to inform design considerations for full-scale water turbines and other marine hydrokinetic devices. FEA models - NASTRAN Helical foil turbines tested at UNH tow tank Glass and carbon composite material properties Loads derived from CFD models

The data herein contains all data collected and used for the Performance Characterization Testing and Model Calibration of a Vertical Axis Hydrokinetic Turbine. The data includes performance data and durability data for the Hydrokinetic Turbine. The device performance data contains shaft RPM, turbine RPM, power output, flow velocity, pressure, and pressure drop across the turbine. The mechanical durability data includes stress and strain at varied depths and velocities. There is also an FEA analysis included. This TEAMER project was awarded to Emrgy, Inc.in collaboration with Alden Research Laboratory LLC.

The attached zip file includes a SolidWorks pack-and-go assembly of NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter) V1.0. This model does not include all aspects of the design (i.e. RO (reverse osmosis) system, electrical enclosure, hose, cable) it only includes the WEC and PTO (power take-off) design.

This zip file contains the files that are needed to simulate NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter). This requires the user to have already installed WEC-Sim. In addition to the standard toolboxes that are required to run WEC-Sim the user will also need the Simscape Fluids and Simscape Driveline packages. In the zip file you will find the following: - HEROV1_HPTO.slx: Simulink-based WEC Sim model of the first gen (V1.0) Hydraulic PTO (power take-off) that was designed for the HERO WEC - wecSimInputFile.m: Input file needed to run the model - userDefinedFunctionsMCR.m: MCR (multi condition run) script that is needed if a use wants to simulate multiple wave conditions. - geometry (folder): Includes the geometry file that is needed for visualization - hydroData (folder): Includes the required WAMIT data to run WEC-Sim

IRENA publishes detailed statistics on renewable energy capacity, power generation and renewable energy balances. This data is collected directly from members using the IRENA Renewable Energy Statistics questionnaire and is also supplemented by desk research where official statistics are not available. Renewable power-generation capacity statistics are released annually in March. Additionally, renewable power generation and renewable energy balances data sets are released in July.

Description of data products produced during the 3newables LLC. TEAMER (Testing & Expertise for Marine Energy) project entitled Initial Testing of Wave Energy Powered UV-C LED Anti-Biofouling System. Data are primarily comprised of imagery, quantitative biofouling mass, and scanning electron microscopy (SEM) analysis.

This is an LCOE (levelized cost of energy) baseline assessment for the Wave Carpet.

This is the LCOE analysis spreadsheet and content model for the heaving point absorber buoy developed for controls purposes. The cost assessment was done on a wave-farm of 100-units.

Configurations as tested and modeled in final phase of project for the Delos-Reyes Morrow Pressure Device (DMP), commercialized by M3 Wave LLC as "APEX."

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navys Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing specifics of the data files and formats in a separate submission.

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navys Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing specifics of the data files and formats in a separate submission.

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navys Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing specifics of the data files and formats in a separate submission.

Risk Register for the RivGen power system, optimized for performance, durability and survivability, in Microsoft Excel format.

Final report on a TEAMER study undertaken by Alden Research Laboratory for the Mono-radial turbine invented by John Clark Hanna DBA: Hanna Wave Energy Primary Drives. The study is a predictive numerical and CFD (computational fluid dynamics) report of the mentioned Hanna Mono-Radial Turbine. The device is an impulse-type mono-radial air turbine PTO for wave energy conversion. The turbine is self-rectified, meaning that it spins in one direction only while capturing the bi-directional air flows developed within an OWC (Oscillating Water Column) system.

PR100 is a comprehensive analysis of stakeholder-driven pathways for Puerto Rico to achieve its goal of 100% renewable energy by 2050. The data includes boundaries, habitats, hazards, infrastructure, and topography throughout Puerto Rico. Most of the data is in geospatial and json formats. Links to project background, history, and planning are also included along with the data.

First commissioning data for the new laser doppler velocimetry (LDV) system that will be used at the Tyler Flume at the University of Washington. The LDV system can measure three components of velocity at a point. For this dataset the three components were operated in non-coincident mode and data were acquired at the center of the empty facility. Comparisons of freestream turbulence were made with a Vectrino slightly upstream of the LDV measurement location.

Performance data of a 1-meter diameter cross-flow tidal turbine consisting of three NACA 0018 blades with two support struts with high deflection hydrofoils. Data was collected at the University of New Hampshire Jere A. Chase Ocean Engineering Lab within the tow tank. Three turbine parameters were varied: the blade materials, blade shape, and support strut position. A detailed description of the testing set-up and data files contained within the compressed HDF.zip file is in the 'ReadMe.txt' file.

**PowerPedia is solely for authorized internal use by Department of Energy employees and contractors working at DOE headquarters and field sites.** Powerpedia is a non-public, employee created encyclopedia of information about the Department. It uses the same technology that powers Wikipedia (Mediawiki) and can be accessed and edited by any DOE employee or contractor. Powerpedia's mission is to help employees share information on topics while improving communication and coordination between DOE organizations. As of June 2011, the DOE Enterprise can access Powerpedia, create accounts, and contribute content. This includes the National Laboratories. It is only accessible to DOE personnel (employee or contractor) at headquarters and the field sites. External networks will not be able to access the site unless they are using CITRIX.

Time series load and PV data from an IEEE123 bus system. An example electrical system, named the OEDI SI feeder, is used to test the workflow in a co-simulation. The system used is the IEEE123 test system, which is a well studied test system (see link below to IEEE PES Test Feeder), but some modifications were made to it to add some solar power modules and measurements on the system. The aim of this project is to create an easy-to-use platform where various types of analytics can be performed on a wide range of electrical grid datasets. The aim is to establish an open-source library of algorithms that universities, national labs and other developers can contribute to which can be used on both open-source and proprietary grid data to improve the analysis of electrical distribution systems for the grid modeling community. OEDI Systems Integration (SI) is a grid algorithms and data analytics API created to standardize how data is sent between different modules that are run as part of a co-simulation. The readme file included in the S3 bucket provides information about the directory structure and how to use the algorithms. The sensors.json file is used to define the measurement locations.

The $43 million dollars in offshore wind funding Secretary Chu announced today is part of a coordinated federal strategy to put the nation's wind resources to work and support innovation and jobs throughout the United States

Updated Risk Registers for major subsystems of the StingRAY WEC completed according to the methodology described in compliance with the DOE Risk Management Framework developed by NREL.

The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under climate change scenarios. Sup3rCC is downscaled Global Climate Model (GCM) data. For example, the initial dataset "sup3rcc_conus_mriesm20_ssp585_r1i1p1f1" is downscaled from MRI ESM 2.0 for climate change scenario SSP5 8.5 and variant label r1i1p1f1. The downscaling process was performed using a generative machine learning approach called sup3r: Super-Resolution for Renewable Energy Resource Data (linked below as "Sup3r GitHub Repo"). The data includes both historical and future weather years, although the historical years represent the historical average climate, not the actual historical weather that we experienced. The Sup3rCC data is intended to help researchers study the impact of climate change on energy systems with high levels of wind and solar capacity. Please note that all climate change data is only a representation of the *possible* future climate and contains significant uncertainty. Analysis of multiple climate change scenarios and multiple climate models can help quantify this uncertainty.

A machine readable collection of documented solar siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled based on a locality-by-locality review zoning ordinances after completing an initial review of scholarly legal articles. The citations for each ordinance are included in the spreadsheet.

A machine readable collection of documented wind siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (Linked in the submission), National Conference of State and Legislatures Wind Energy Siting (also linked in the submission), and scholarly legal articles. The citations for each ordinance are included in the spreadsheet. This data is an updated to a previously developed database of wind ordinances found in OEDI Submission 1932: "U.S. Wind Siting Regulation and Zoning Ordinances"

This data was collected between October 12 and December 15 of 2021 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). This data set includes over 29 days of grid connected turbine operation during this 65 day time frame. The priority for this measurement campaign was to collect data while the turbine was electrically connected to the grid by means of a rectifier and inverter. The Fall_2021_UNH_Measurement_Timeline.png highlights when each instrument was functioning and the Fall_2021_UNH_Test_Log.jpg indicates the four main regions for analysis available from this measurement campaign. The TDP is a floating structure moored on the Portsmouth facing side of Memorial Bridge pier #2, which spans the Piscataqua River between Portsmouth, NH and Kittery, ME. The Piscataqua River connects the Great Bay Estuary to the Gulf of Maine and the river currents are dominated by tidal forcing with water velocities exceeding 2.5 m/s during spring ebb tides at this site which were previously characterized by Kaelin Chancey (Assessment Of The Localized Flow And Tidal Energy Conversion System At An Estuarine Bridge - UNH MS Thesis 2019). The turbine under test was a modified New Energy Corporation (Calgary, CA) model EVG-025 4-blade H-Darrius type vertical axis cross flow turbine that rotates in the clockwise direction with a rotor diameter of 3.2m and blade length of 1.7m. The hydro-foil profile was a NACA 0021 with a 10 inch chord length and a blade preset pitch angle of +4deg with a positive angle corresponding with the toe in direction. The standard EVG-025 has a rotor diameter of 3.4m and its rated power output is 25kW at 3 m/s. The rotor diameter was reduced to accommodate the size of the existing TDP moon-pool. This project was pursued to quantify device performance for cross flow turbines operating in a marine environment. Accurate physical models, to characterize cross flow turbine performance, require real operational data sets due to the complexity of blade fluid interactions. This data can help support model development which will help predict turbine performance when analyzing perspective project locations in the future. Instrumentation was deployed to measure; water speed/direction, electrical power output, turbine shaft speed, turbine thrust force, and platform motion. Concurrent measurements of these parameters allow for correlations (cause and affect) to be inferred, allowing for characterization of device performance over a range of operating conditions. Water currents were measured using Acoustic Doppler Current Profilers (ADCP's) and Acoustic Doppler Velocimeters (ADV's) directly upstream and downstream of the turbine for inflow, wake and turbulence measurements. Electrical power output was measured using the Voltsys rectifier and the Shark power meter. Shaft speed was calculated based on the Voltsys measurements of the permanent magnet three phase generator AC generation frequency, coupled directly to the cross flow turbine under test (i.e., no gear box). Platform motions were captured using a Yost IMU (inertial measurement unit). Turbine thrust loading was measured using a reaction arm about the turbine deployment platform spanning beam, where two bi-directional load cells were connected to the system via a pinned connection. This submission includes zipped folders for each instrument containing quality controlled (QC'd) data in daily .csv files for the relevant duration specific to each instrument, along with separate .csv file that contains the units for each variable. Some instrument daily files are quite large and can pose a challenge for a visual spreadsheet editor to open. A processing software like MATLAB or Python is recommended. Note the degree of QC varied between each instrument due to time constraints. Particular time and attention was given to perform quality control tests on the acoustic based instruments that are particularly susceptible to erroneous data reporting. All variables across all instruments were verified for name and proper units. A complete reference on the QC tests performed and subsequent data reported here is available in 2022 - OByrne MS Thesis Chapter 4. The zipped file structure, Data_Viewing_Matlab_Scripts, contains the same QC'd data reported in .csv files, but in .mat format, along with basic viewing and in depth processing scripts used to produce the results presented in 2022 - OByrne MS Thesis. To run the viewing and analysis and scripts available in the Data_Viewing_Matlab_scripts zip directory MATLAB R2021a is recommended. The viewer is directed to 2022 - OByrne MS Thesis for an introduction to the platform and turbine under test. Individual submissions will be created for each instrument to disseminate the raw data along with the .mat processing scripts used to create the final data set reported in this submission.

This archive includes data from the University of Washington WASIRF (Washington Air-Sea Interaction Research Facility) flume. WASIRF is a laboratory testing tank at the Northwest National Marine Renewable Energy Center designed to investigate wind-wave-current interactions. It includes test data for simultaneous waves and current generation done at the WASIRF lab. A report included in the archive further details testing methodology. Wave and current data is provided in .dat files.

This submission includes the wave tank testing data used to validate the controls optimization efforts of a heaving 1-DoF buoy.