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North and South Dakota High Resolution 50m Wind Resource
Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
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4 Resources
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AlphaBuilding Synthetic Buildings Operation Dataset
This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with...
Li, H. et al Lawrence Berkeley National Laboratory
Dec 21, 2020
5 Resources
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Publicly accessible
5 Resources
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Renewable Energy Consumption by Energy Use Sector and Energy Source, 2004 2008
Provides annual consumption (in quadrillion Btu) of renewable energy by energy use sector (residential, commercial, industrial, transportation and electricity) and by energy source (e.g. solar, biofuel) for 2004 through 2008. Original sources for data are cited on spreadsheet. Als...
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
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In curation
Areas of Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data
This layer contains areas of anomalous surface temperature in Archuleta County identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming ...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
0 Stars
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1 Resources
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Areas of Anomalous Surface Temperature in Dolores County, Colorado, as Identified from ASTER Thermal Data
This layer contains areas of anomalous surface temperature in Dolores County identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming so...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
0 Stars
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1 Resources
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Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data around South Canyon Hot Springs, Garfield County, Colorado
This map shows areas of anomalous surface temperature around South Canyon Hot Springs as identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate ...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
0 Stars
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1 Resources
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Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Southwest Steamboat Springs, Garfield County, Colorado
This map shows areas of anomalous surface temperature around south Steamboat Springs as identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate t...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Tracking the Sun
Berkeley Lab's Tracking the Sun report series is dedicated to summarizing installed prices and other trends among grid-connected, distributed solar photovoltaic (PV) systems in the United States. The present report, the 11th edition in the series, focuses on systems installed thro...
Barbose, G. and Darghouth, N. Lawrence Berkeley National Laboratory (LBNL)
Oct 01, 2019
6 Resources
1 Stars
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6 Resources
1 Stars
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dGen (Distributed Generation Market Demand) Model Data: Version 1.0.0 Agents
Open sourced agent files needed to run version 1.0.0 of the dGen model. Contains all national, ISO, and state level residential and commercial agents.
Stanley, . et al National Renewable Energy Laboratory
Aug 10, 2021
1 Resources
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1 Resources
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Areas of Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data
This layer contains areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. ...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
0 Stars
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1 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
1 Stars
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3 Resources
1 Stars
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U.S. Voluntary Green Power Market Data 2017
This data book provides certain data behind figures and tables found in the NREL report Status and Trends in the U.S. Voluntary Green Power Market 2017 Data. These data reflect estimates based on the best available data.
O'Shaughnessy, . et al National Renewable Energy Laboratory
Oct 01, 2018
1 Resources
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1 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
0 Stars
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1 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Chaffee County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Dolores County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Garfield County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Routt County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Photovoltaic System Pricing Trends: Historical, Recent, and Near-Term Projections 2015 Edition
This is the fourth edition in an annual briefing prepared jointly by LBNL and NREL intended to provide a high-level overview of historical, recent, and projected near-term PV system pricing trends in the United States. The briefing draws on several ongoing research activities at t...
Feldman, . et al National Renewable Energy Laboratory
May 12, 2016
1 Resources
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1 Resources
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United States Virgin Islands: St. Thomas (Bovoni) & St. Croix (Longford)
Two measurement stations to collect wind data to support future wind power generation in the U.S. Virgin Islands.
Roberts and AndreasNational Renewable Energy Laboratory
Jun 03, 2015
2 Resources
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2 Resources
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NYISO grid and time-series data in 2019
Folder NYGrid contains generators' data in New York State based on the installed capacity in 2019. Folder time_series are time-series data including correlated wind, solar, and load in 2019 with hourly resolution and 5-minuite resolution. Time-series data are generated based on hi...
Shu, H. and Mays, J. Cornell University
Sep 02, 2024
1 Resources
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In progress
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Surface Meteorological Station PNNL 3m Tower, Physics site-8 Reviewed Data
**Overview**
In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon.
**Data Details**
A PNNL computer is used as the base station to download the meteorological data acquired by the...
Berg, L. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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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
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2 Resources
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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 wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly ...
Cole, W. et al National Renewable Energy Laboratory (NREL)
Aug 01, 2023
5 Resources
2 Stars
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5 Resources
2 Stars
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Miller & Keith (2018) Wind Plant Data
Information on the 430 wind power plants used in 'Observation-based solar and wind power capacity factors and power densities’ by Miller & Keith (2018, Environ. Res. Lett. 13 104008), initially based on the Wind Power Plant locations released by the US Energy Information Adminis...
Miller, L. Harvard University
Nov 22, 2018
2 Resources
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2 Resources
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NREL Power Technologies Energy Data Book (2006): Technology Profiles
The National Renewable Energy Laboratory (NREL) publishes a wide selection of data and statistics on renewable energy power technologies from a variety of sources (e.g. EIA, Oak Ridge National Laboratory, Sandia National Laboratory, EPRI and AWEA). In 2006, NREL published the 4th ...
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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