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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

Geothermal Potential Area

A GIS layer from the BLM nationwide PEIS displaying geothermal potential areas in the United States. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Made open by BLM http://www.doi.gov/privacy.cfm

Hill, G. and (BLM), U. National Renewable Energy Laboratory

Jul 29, 2014
2 Resources
0 Stars
In curation

Combined Wind/Wave Hurricane Model

The Combined Hurricane Model data is a collaboration between the National Renewable Energy Laboratory (NREL) and researchers at the University of Miami and University of Texas at Austin. The model is unique in that it offers time-aligned predictions of full field atmospheric data ...

Phillips, C. and Laboratory, N. National Renewable Energy Laboratory

May 06, 2015
1 Resources
0 Stars
In curation

Hathaway Solar Patriot House

The Hathaway Solar Patriot House was a Building America field research case study from 2001 to 2004. A report on this project is available in this record or from the National Renewable Energy Laboratory. http://www.nrel.gov/docs/fy05osti/37731.pdf

Norton, P. and Laboratory, N. National Renewable Energy Laboratory

Jun 10, 2016
4 Resources
0 Stars
In curation

Illinois High Resolution Wind Resource

Annual average wind resource potential of Illinois at a 50 meter height. This data set was produced and validated by NREL using their WRAM model. This shapefile was generated from a raster dataset with a 1000 m resolution, in a Transverse Mercator projection with the following ...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
In curation

Pakistan Wind Resources

GIS data for Pakistan's wind resources in graphical files of seasonal and diurnal data from surface weather stations, graphical files of seasonal and diurnal data from Pakistan Meteorological Department (PMD), and Wind Power Density at 50-m AGL (above ground level) GIS data. The g...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
5 Resources
0 Stars
In curation

USLCI Database_Electricity, at Grid, US, 2008

Gate to gate life cycle inventory (LCI) data for the US national grid. Includes generation and transmission of electricity for US electricity grid. Representative of year 2008 mix of fuels used for utility electricity generation in US. Fuels include biomass, coal, petroleum, geo...

Carpenter, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Wisconsin High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for Wisconsin at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential in Wisconsin. _Supplemental Information:_ This data set has been validated by NREL and wind energy meteorologic...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Reference Model 2 Cost Breakdown (RM2: River Current Turbine)

Contains the Reference Model 2 (RM2) spreadsheets with the cost breakdown structure (CBS) for the levelized cost of energy (LCOE) calculations for a single RM2 device and multiple unit arrays. These spreadsheets are contained within an XLSX file and a spreadsheet editor such as Mi...

Neary, V. et al Sandia National Laboratories

Sep 30, 2014
2 Resources
0 Stars
Publicly accessible

Electricity Generation and Consumption by State (2008 )

Provides total annual electricity consumption by sector (residential, commercial and industrial) for all states in 2008, reported in GWh, and total electricity generation by sector (e.g. wind, solar, nuclear, coal) for all states in 2008, reported in GWh.

Hallett, K. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
1 Stars
In curation

Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...

Sullivan, P. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
1 Stars
Publicly accessible

Curated Modeled Fault Data Set

The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A ...

Kim, J. and Leach, M. National Renewable Energy Laboratory

Jun 24, 2019
7 Resources
0 Stars
Publicly accessible

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

DEPRECATED: dGen (Distributed Generation Market Demand) Model Data: Alpha Release

DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section. Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent file of 100,000 agents in pick...

Stanley, . et al National Renewable Energy Laboratory

Apr 01, 2020
10 Resources
0 Stars
Publicly accessible

Wind Resources in Alaska

Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...

Hallett, K. and (AEDI), A. National Renewable Energy Laboratory

Dec 30, 2006
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

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

The BuildingsBench datasets consist of: Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock. 7 real residential and com...

Emami, P. and Graf, P. National Renewable Energy Laboratory

Dec 31, 2018
6 Resources
1 Stars
Publicly accessible

Bureau of Land Management (BLM) Public Lands in geothermal potential area

The dataset is a GIS layer displaying BLM public lands that lie within an area that has geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Open information http://www.doi.gov/privacy.cfm

Hill, G. and (BLM), U. National Renewable Energy Laboratory

Jul 29, 2014
2 Resources
0 Stars
In curation

National Forest System Lands in geothermal potential area

A GIS layer from the BLM nationwide PEIS of lands within the U.S. National Forest system that contain geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Made open by BLM. http://www.doi.gov/privacy.cfm

Hill, G. and (BLM), U. National Renewable Energy Laboratory

Jul 29, 2014
2 Resources
0 Stars
In curation

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...