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National Renewable Energy Laboratory×

Heavy-Duty Electric Fleet Depot Charging Load Profiles & Substation Load Integration Assessment Results

This data set includes the 24-hour fleet depot charging load profiles (15-min. average demand) and substation load integration assessment results produced for the study, "Heavy-Duty Truck Electrification and the Impacts of Depot Charging on Electricity Distribution Systems", publi...
Borlaug. . et al National Renewable Energy Laboratory
Apr 20, 2021
4 Resources
0 Stars
Publicly accessible

Q1 2023 U.S. Solar Photovoltaic System and Energy Storage Cost Benchmarks With Minimum Sustainable Price Analysis Data File

The U.S. Department of Energy's (DOE's) Solar Energy Technologies Office (SETO) aims to accelerate the advancement and deployment of solar technology in support of an equitable transition to a decarbonized economy no later than 2050, starting with a decarbonized power sector by 20...
Ramasamy. . et al National Renewable Energy Laboratory
Sep 25, 2023
4 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

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

U.S. Electric Net Summer Capacity, 2004 2008

Provides total annual net electric summer capacity (in megawatts) for the United States, broken down by renewable energy source (e.g. biomass, solar thermal/pv) and the nonrenewable total.
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Alaskas Rural Power Systems Upgrade Program Project Locations

This data contains locations of the projects maintained by the Rural Power Systems Upgrade Program. Over 350 locations are included in the dataset, including those projects in remote villages and communities throughout the state of Alaska. The location data provides a means by whi...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Dec 30, 2009
2 Resources
0 Stars
In curation

Electric Technology Adoption and Energy Consumption

Scenario data from the Electrification Futures Study Scenarios of Electric Technology Adoption and Power Consumption for the United States report. Annual projections from 2017 to 2050 of electric technology adoption and energy consumption for five scenarios reference electrificati...
Mai. . et al National Renewable Energy Laboratory
Jul 05, 2018
4 Resources
0 Stars
Publicly accessible

GIS Data from the 2008 Carbon Sequestration Atlas of the United States and Canada: Carbon Dioxide Sources

hapefile for CO2 sources identified in the 2008 Carbon Sequestration Atlas of the United States and Canada.
Wood, J. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

GIS Data from the 2008 Carbon Sequestration Atlas of the United States and Canada: Deep Saline Formations

Shapefile for deep saline formations identified in the 2008 Carbon Sequestration Atlas of the United States and Canada.
Wood, J. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

GIS Data from the 2008 Carbon Sequestration Atlas of the United States and Canada: Unmineable Coal Seams

Shapefile for unmineable coal seams identified in the 2008 Carbon Sequestration Atlas of the United States and Canada.
Wood, J. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Geothermal Case Studies on OpenEI

This submission contains links to Geothermal Areas on OpenEI that were completed as part of an effort to gather clean, unbiased information on which to build geothermal drilling prospects. The specific areas that were part of this focused effort, or *case studies*, are linked ind...
Young, K. National Renewable Energy Laboratory
Sep 30, 2014
19 Resources
0 Stars
Publicly accessible

NREL GIS Data: Global Offshore Wind

GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ). Wind resource based on NOAA blended sea winds and monthly wind speed at 30km resolution, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average = 10 months of data, no null...
Langle, N. National Renewable Energy Laboratory
Jul 30, 2014
1 Resources
0 Stars
In curation

Altered Rotokawa Andesite Thermal Treatment Petrophysics

Physical property data for transitory heating of altered Rotokawa andesite under saturated conditions at 20 MPa pressure. "M" samples are moderately altered, and "H" samples are highly altered. White-background columns depict pre-treatment data. Grey-background columns depict post...
Kennedy, B. National Renewable Energy Laboratory
Aug 20, 2019
1 Resources
0 Stars
In curation

Experimental Studies of Anisotropy on Borehole Breakouts in Mancos Shale Supplemental

Supplemental information for "Experimental Studies of Anisotropy on Borehole Breakouts in Mancos Shale" SAND2018-8205 O
Choens, R. National Renewable Energy Laboratory
Nov 23, 2018
10 Resources
0 Stars
In curation

GIS Data from the 2008 Carbon Sequestration Atlas of the United States and Canada: Oil and Gas Reservoirs

Shapefile for oil and gas reservoirs identified in the 2008 Carbon Sequestration Atlas of the United States and Canada.
Wood, J. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Solar Energy Environmental Mapper

The Solar Energy Environmental Mapper is a web-based application that displays environmental data for the southwest U.S. in the context of utility-scale solar energy development. It provides access to screening-level data about resources and constraints, with analysis tools to he...
Kuiper, J. and Laboratory, A. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

Alaska Oil and Gas Conservation Commission: February 2011 Drilling & Permit Records

This dataset contains oil and gas drilling and permit records for February 2011. State oil and gas boards and commissions make oil and gas data and information open to the public. To view the full range of data contained at the Alaska Oil and Gas Conservation Commission, visit htt...
Hill, G. and Commission, A. National Renewable Energy Laboratory
Feb 27, 2011
2 Resources
0 Stars
In curation

Petroleum Systems of the San Joaquin Basin Province: Geochemical Characteristics of Gas Types

This dataset supplements Chapter 10 of the USGS paper, _Petroleum Systems of the San Joaquin Basin Province, California_. The dataset contains sample information for natural gases from the San Joaquin Basin, California; there are 81 samples in the dataset. The information was orig...
Hallett, K. and USGS, . National Renewable Energy Laboratory
Jun 30, 2008
2 Resources
0 Stars
In curation

Wilmington Graben Characterization

DOE#1 and DOE#2 wells have been drilled during the DOE funded project 'Characterization of Pliocene and Miocene formations in the Wilmington Graben, Offshore Los Angeles, for Large Scale Geologic Storage of CO2' (DE-NT0001922) led by [GeoMechanics Technologies](http://geomechanics...
Bruno, M. National Renewable Energy Laboratory
Dec 11, 2019
1 Resources
0 Stars
In curation

Summer and Winter Precipitation in England and Wales: 1874 2009

This dataset, made available by the UK Department of Energy and Climate Change (DECC), presents summer and winter precipitation for England and Wales, and the percent change from the baseline (1961 1990 average). The original source of the data is the Hadley Centre.
Hallett, K. and (DECC), U. National Renewable Energy Laboratory
Mar 11, 2010
2 Resources
0 Stars
In curation

National Parks within the geothermal potential area

A GIS layer from the BLM nationwide PEIS of National Parks within the geothermal potential area, not part of the project area and closed to leasing for geothermal projects. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Made o...
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation

Industrial Facility Combustion Energy Use

Facility-level industrial combustion energy use is calculated from greenhouse gas emissions data reported by large emitters (>25,000 metric tons CO2e per year) under the U.S. EPA's Greenhouse Gas Reporting Program (GHGRP, https://www.epa.gov/ghgreporting). The calculation applies ...
McMillanNational Renewable Energy Laboratory
Jul 19, 2016
2 Resources
0 Stars
Publicly accessible

Pending Geothermal lease applications

A GIS layer of pending Geothermal lease applications from Volume II of the BLM's Programmatic EIS to analyze and expedite the leasing of BLM-and FS-administered lands with high potential for renewable geothermal resources in 11 Western states and Alaska. The GIS layer contains ....
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation

SGIG Program Advanced Metering Infrastructure (AMI) Assets Deployed and Expenditures

This file contains smart grid data (current as of the time and date stamp shown above) for ARRA funded smart grid projects. All of the data in this file is considered publically available, and is not marked sensitive. This data provides details regarding the deployment of ...
Huggins, J. and SmartGrid.gov, . National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
Publicly accessible
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