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NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (5 Percent Slope and Less)

Filtered (5% slope and less) direct normal solar resource data for the Southwest United States This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL MOIS Data for NWEI Azura July 2016

NREL Modular Ocean Instrumentation System (MOIS) data files for the 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, H...
Nelson, E. National Renewable Energy Laboratory
Sep 25, 2016
18 Resources
0 Stars
Publicly accessible

Low-Temperature Hydrothermal Resource Potential Estimate

Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessibl...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
4 Resources
0 Stars
Publicly accessible

Life Cycle Emissions Factors for Electricity Generation Technologies

This dataset consists of a table containing the distribution of literature estimates of greenhouse gas emissions for the following electricity generation and storage technologies: biopower, coal, concentrating solar power, geothermal, hydrogen storage, hydropower, lithium-ion batt...
Nicholson and HeathNational Renewable Energy Laboratory
Aug 23, 2021
2 Resources
0 Stars
Publicly accessible

Admiralty Inlet Advanced Turbulence Measurements: Final Data and Code Archive

Data and code that is not already in a public location that is used in Kilcher, Thomson, Harding, and Nylund (2017) "Turbulence Measurements from Compliant Moorings Part II: Motion Correction" doi: 10.1175/JTECH-D-16-0213.1. The links point to Python source code used in the publi...
Kilcher, L. et al National Renewable Energy Laboratory
Feb 01, 2011
11 Resources
0 Stars
Publicly accessible

Low-Temperature Geothermal Geospatial Datasets: An Example from Alaska

This project is a component of a broader effort focused on geothermal heating and cooling (GHC) with the aim of illustrating the numerous benefits of incorporating GHC and geothermal heat exchange (GHX) into community energy planning and national decarbonization strategies. To bet...
Davalos Elizondo, E. et al National Renewable Energy Laboratory
Feb 06, 2023
6 Resources
0 Stars
Publicly accessible

Admiralty Inlet Advanced Turbulence Measurements: June 2014

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in June of 2014. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on Tidal Turbulence Mooring's (TTMs). The TTM positions the ADV head above the seafloor to make mid...
Kilcher, L. National Renewable Energy Laboratory
Jun 30, 2014
26 Resources
0 Stars
Publicly accessible

UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary

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 f...
Wosnik, M. et al National Renewable Energy Laboratory
Dec 21, 2021
30 Resources
0 Stars
Publicly accessible

Admiralty Inlet Advanced Turbulence Measurements: May 2015

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in May of 2015. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on a 'StableMoor' (Manufacturer: DeepWater Buoyancy) buoy and a Tidal Turbulence Mooring (TTM). Thes...
Kilcher, L. National Renewable Energy Laboratory
May 18, 2015
18 Resources
0 Stars
Publicly accessible

Tidal Energy Resource Characterization, Bottom Lander Measurements, Cook Inlet, AK, 2021

These datasets are from tidal resource characterization measurements collected on the Terrasond High Energy Oceanographic Mooring (THEOM) from 1 July 2021 to 30 August 2021 (60 days) in Cook Inlet, Alaska. The lander was deployed at 60.7207031 N, 151.4294998 W in ~50 m of water. ...
Kilcher, L. and McVey, J. National Renewable Energy Laboratory
Jul 01, 2021
25 Resources
0 Stars
Publicly accessible

DEEPEN 3D PFA Index Models for Exploration Datasets at Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), index models needed to be de...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
6 Resources
0 Stars
Publicly accessible

Data for "Arsenic Activation and Compensation in Single Crystal CdTe Bilayers"

Mathew, . et al National Renewable Energy Laboratory
Dec 23, 2024
37 Resources
0 Stars
Publicly accessible

Sample IEEE123 Bus system for OEDI SI

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...
Elgindy, T. and Balasubramaniam, K. National Renewable Energy Laboratory
Sep 01, 2022
4 Resources
0 Stars
Publicly accessible

Global innovation contest for future solar energy solutions

Stockholm Royal Seaport is one of Europe’s largest urban development projects and is a leader when it comes to next generation sustainable neighborhoods. As part of Stockholm Royal Seaport’s sustainability focus the competition is organized to find long-term solar energy solut...
Competitions, S. National Renewable Energy Laboratory
Dec 21, 2014
1 Resources
0 Stars
In curation

Occupant Behavior in Commercial Buildings: Synthetic Population, Co-Simulation with EnergyPlus and Agent Based Modeling

This technical manual serves as an outline of three separate research projects related to building energy performance modeling of occupant behavior, conducted at the Rutgers Center for Green Building (RCGB): a Synthetic Population project, a Co-Simulation of Synthetic Population w...
Andrews, C. National Renewable Energy Laboratory
Apr 26, 2016
1 Resources
0 Stars
In curation

DEEPEN 3D PFA Weights for Exploration Datasets in Magmatic Environments

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
3 Resources
0 Stars
Publicly accessible

Building Component Library

The Building Component Library (BCL) is the U.S. Department of Energy’s comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components ...
Long, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

Equitable Energy Investment Prioritization Data Set

This data set compiles metrics related to energy justice, environmental justice, and renewable energy (RE) deployment potential. The metrics, including energy burden, sociodemographic characteristics, environmental hazard exposure, and the technical generation potential and leveli...
Day and RossNational Renewable Energy Laboratory
Oct 15, 2021
4 Resources
0 Stars
Publicly accessible

NREL GIS Data: United States Hydrogen Potential From Renewable Resources

Estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar photovoltaic, and biomass) by county for the United States. This study was conducted to estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar p...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Alaska High Resolution Wind Resource

Annual average wind resource potential for the main section of the state of Alaska. Note: we do not have a complete 50m coverage for the entire state. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under co...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: U.S. Atlantic Coast Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

EDX

###What is the Energy Data eXchange? The Energy Data eXchange (EDX) was developed and is maintained by NETL-ORD as an online system to support internal coordination and collaboration as well as timely tech transfer of data-driven products across NETL's research portfolios...
Rowan, C. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

NREL RSF Energy Model 2011

Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...
Sheppy, M. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
Publicly accessible

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Publicly accessible

DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
4 Resources
0 Stars
Publicly accessible
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