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UNH TDP Shark Meter Raw Data and Processing Scripts Fall 2021
This submission contains raw Shark Power Meter data and processing scripts associated with MHKDR submission 394 (UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary, DOI: 10.1...
Bharath, A. et al National Renewable Energy Laboratory
Dec 21, 2021
4 Resources
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4 Resources
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Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
This dataset contains turbine and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs were computed using the Gaussian wake model in NREL's FLOw Redirection and Induction in ...
Ramos, D. et al National Renewable Energy Laboratory
Feb 12, 2021
5 Resources
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5 Resources
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WEC-Sim Wave Energy Converter Simulator
WEC-Sim (Wave Energy Converter SIMulator) is an open-source wave energy converter (WEC) simulation tool.
The code is developed in MATLAB/SIMULINK using the multi-body dynamics solver SimMechanics. WEC-Sim has the ability to model devices that are comprised of rigid bodies, powe...
Lawson. . et al National Renewable Energy Laboratory
Mar 15, 2016
1 Resources
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1 Resources
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July 2014 Dixie DOE Data
Binary production Data. Used to demonstrate the techno-economic feasibility of utilizing the available unused heat to generate additional electric power from a binary power plant.
Lee, V. Terra-Gen Sierra Holdings, LLC
Jul 31, 2014
2 Resources
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2 Resources
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August 2014 Dixie Valley DOE Production Data
Binary Engineering production data for August 2014. Used to demonstrate the techno-economic feasibility of utilizing the available unused heat to generate additional electric power from a binary power plant.
Lee, V. Terra-Gen Sierra Holdings, LLC
Aug 31, 2014
2 Resources
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2 Resources
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BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
1 Stars
Publicly accessible
9 Resources
1 Stars
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Big Box Retail Grocery Store and Electric Vehicle Station Load Profiles
This dataset includes yearlong, one-minute resolution time series profiles for the big box retail grocery stores stores simulated in Phoenix, Houston, Denver, and Minneapolis, as well as electric vehicle charging time series profiles for the various ports, charging levels, and sta...
Gilleran. . et al National Renewable Energy Laboratory
Oct 22, 2021
3 Resources
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3 Resources
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Wind and Structural Loads on Heliostats
Wind loading is a main contributor to structural design costs of Concentrating Solar Power (CSP) collectors, such as heliostats. These structures must resist the mechanical forces generated by turbulent wind. At the same time, the reflector surfaces must exhibit the necessary rigi...
Egerer, U. et al National Laboratory of the Rockies (NLR)
Dec 24, 2025
4 Resources
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4 Resources
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January 2014 Dixie Valley Binary Cycle Production Data
Dixie Valley production data for January 2014, for a DOE Report. Used to demonstrate the techno-economic feasibility of utilizing the available unused heat to generate additional electric power from a binary power plant.
*Note This data is incomplete. See link below "Monthly Produ...
Lee, V. Terra-Gen Sierra Holdings, LLC
Jan 03, 2014
2 Resources
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2 Resources
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April 2014 Dixie Valley Binary Cycle Production Data
Generation data associated with binary unit. Used to demonstrate the techno-economic feasibility of utilizing the available unused heat to generate additional electric power from a binary power plant.
*Note This data is incomplete. See link "Monthly Production Data September 2014...
Lee, V. Terra-Gen Sierra Holdings, LLC
Apr 30, 2014
2 Resources
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2 Resources
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TEAMER: Public Post Access Report Wavewatts Inc. Preliminary Performance Analysis for the Wavewatts Wave Energy Converter
Renewable energy costs have declined but are still unable to consistently meet power consumption demands when needed most. The Wavewatts concept is able to consistently deliver critical dispatchable renewable energy by directly converting large and slow moving forces of wave energ...
Hon, R. et al Wavewatts Inc.
Jan 05, 2026
2 Resources
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2 Resources
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Utility-Scale Solar, 2025 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Lawrence Berkeley National Laboratory compiled and synthesized empirical data on the U.S. utility-scale solar sector. Utility-scale solar is defined here to include ground-mounted systems larger than 5MW-AC. Smaller projects are covered in Berkeley Lab's separate U.S. Distributed ...
Seel, J. et al Lawrence Berkeley National Lab
Sep 25, 2025
6 Resources
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6 Resources
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Sun Spot One (SS1): San Luis Valley, Colorado (Data)
A partnership with industry and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal, and diffuse horizontal i...
Stoffel and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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2 Resources
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2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provid...
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Mar 25, 2025
9 Resources
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9 Resources
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Wind and Structural Loads on Parabolic Trough Solar Collectors at Nevada Solar One
Wind loading is a main contributor to structural design costs of Concentrating Solar Power (CSP) collectors, such as heliostats and parabolic troughs. These structures must resist the mechanical forces generated by turbulent wind. At the same time, the reflector surfaces must exhi...
Egerer, U. et al National Renewable Energy Laboratory (NREL)
Oct 01, 2021
4 Resources
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4 Resources
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StingRAY Structural Optimization Final Technical Report
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. ...
Lenee-Bluhm, P. Columbia Power Technologies, Inc.
Aug 05, 2020
2 Resources
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2 Resources
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Event-correlated Outage Dataset in America
This dataset includes an aggregated and event-correlated analysis of power outages in the United States, synthesized by integrating three data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report ...
She, B. et al Pacific Northwest National Laboratory
Oct 01, 2024
8 Resources
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8 Resources
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MASK4 Test Campaign for Sandia WaveBot Device Dataset
This data and report details the findings from a wave tank test focused on production of useful work of a wave energy converter (WEC) device. The experimental system and test were specifically designed to validate models for power transmission throughout the WEC system. Additional...
Forbush, D. et al Sandia National Laboratories
Dec 25, 2023
5 Resources
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5 Resources
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HRRR Meteorology, Energy, and Transmission (MET) Toolkit
The HRRR MET (Meteorology, Energy, and Transmission) Toolkit is the National Laboratory of the Rockies' (NLR) new flagship atmospheric dataset, designed to support comprehensive long-term planning and operations across the entire power sector. Serving as the direct successor to th...
Bodini, N. et al National Laboratory of the Rockies (NLR)
Mar 09, 2026
6 Resources
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6 Resources
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Utility Outage Information
Data about power company service areas and their announcements about outages are critical for the effective coordination of resources after disasters, and also for building community and neighborhood resilience. As part of the 2015 White House Mapathon, the Department of Energy's...
Weers, J. National Renewable Energy Laboratory
Aug 28, 2015
4 Resources
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4 Resources
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ARPA-E PERFORM datasets
Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021....
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Aug 18, 2022
3 Resources
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3 Resources
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University of Louisiana at Lafayette
A partnership with the University of Louisiana and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct, and diffuse irradiance t...
Andreas and RitterNational Renewable Energy Laboratory
Feb 13, 2024
1 Resources
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University of Florida
A partnership with the University of Florida and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct, and diffuse irradiance to ...
Andreas and ScheffeNational Renewable Energy Laboratory
Feb 13, 2024
1 Resources
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1 Resources
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HERO WEC V1.0 SolidWorks Model
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 o...
Jenne, S. National Renewable Energy Laboratory
Aug 12, 2022
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2 Resources
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Fish Detection AI, sonar image-trained detection, counting, tracking models
The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...
Gutstein, S. et al Water Power Technology Office
Aug 25, 2024
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6 Resources
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