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Error-Level-Controlled Synthetic Forecasts for Renewable Generation

Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...

Zhang, X. et al National Renewable Energy Laboratory (NREL)

Jun 01, 2021
3 Resources
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Surface Meteorological Station PNNL 3m Tower, Physics site-7 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 17, 2016
1 Resources
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Surface Meteorological Station PNNL Short Tower, Grass Valley 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)

Sep 22, 2015
1 Resources
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Surface Meteorological Station PNNL Short Tower, Rufus 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)

Sep 23, 2015
1 Resources
0 Stars
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Surface Meteorological Station PNNL Short Tower, Umatilla 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)

Dec 14, 2015
1 Resources
0 Stars
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Surface Meteorological Station PNNL Short Tower, Hood River 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)

Sep 21, 2015
1 Resources
0 Stars
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2020 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies

Starting in 2015 NREL has presented the Annual Technology Baseline (ATB) in an Excel workbook that contains detailed cost and performance data, both current and projected, for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This up...

Akar. . et al National Renewable Energy Laboratory

Jul 28, 2020
5 Resources
0 Stars
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Next Generation Weather Radar (NEXRAD) Setback (4-km)

The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents 4-kilometer setback requirements typically applied to ...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
3 Resources
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Next Generation Weather Radar (NEXRAD) Radar Line-of-Sight

The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents a line-of-sight for each radar station. Radar line-of-...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
3 Resources
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Wind Resources by Class and Country At 50m

These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (Unite...

Heimiller, D. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

U.S. Counties FIPS Layer

This dataset, which represents county Federal Information Processing System (FIPS) codes for each county as a raster, is utilized by reVX to compute setbacks (distances). Setbacks can be computed either locally (on a per-county basis with specified distances or multipliers) or glo...

GDS, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
2 Resources
0 Stars
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Municipal Franchise Agreements and Energy Objectives

This data set includes franchise agreement-related information from 3,538 municipalities nationwide including data on franchise length, fees, agreement language, and energy objectives.

Cook and GrunwaldNational Renewable Energy Laboratory

Dec 04, 2019
1 Resources
0 Stars
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U.S. Voluntary Green Power Market Data 2018

This data book provides certain data behind figures and tables found in the NREL presentation Status and Trends in the U.S. Voluntary Green Power Market 2018 Data. These data reflect estimates based on the best available data.

Heeter and O'ShaughnessyNational Renewable Energy Laboratory

Oct 03, 2019
1 Resources
0 Stars
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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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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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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
0 Stars
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Environmental Protection Agency (EPA) Renewable Energy Cost Database

The database is a compilation of existing cost data for wind, solar photovoltaic (solar PV), solar thermal (CSP), and geothermal energy technologies, including historical costs and projected costs for each. The data sources and references used to compile this information are inclu...

Hill, G. and Agency, E. National Renewable Energy Laboratory

Dec 31, 2009
2 Resources
0 Stars
In curation

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
0 Stars
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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
0 Stars
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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
0 Stars
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Quantifying and Monetizing Renewable Energy Resiliency

As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.

Lisell. . et al National Renewable Energy Laboratory

Mar 13, 2018
3 Resources
0 Stars
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2016 Annual Technology Baseline

Current and future cost and performance data for electricity generating technologies, including both renewable and conventional technologies.

Hand. . et al National Renewable Energy Laboratory

Sep 12, 2016
3 Resources
0 Stars
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Elizabeth City State University: Elizabeth City, North Carolina (Data)

The Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network operated from July 1985 through December 1996. Funded by DOE, the six-station network provided 5-minute averaged measurements of direct normal, global, and diffuse horizontal solar irradianc...

Stoffel and AndreasNational Renewable Energy Laboratory

Dec 17, 2014
2 Resources
0 Stars
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U.S. Wind and Solar PV Supply Curves with Future Land-use Change

This dataset provides future supply curves representing the total resource potential for land-based wind and solar photovoltaic (PV) deployment in the conterminous United States after accounting for the impact of land-use and land-cover change (LULC). We use LULC projections from ...

Sergi, B. et al National Renewable Energy Laboratory (NREL)

Jan 10, 2024
4 Resources
0 Stars
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Maximum demand charge rates for commercial and industrial electricity tariffs in the United States

NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data: (1) These data...

McLaren. . et al National Renewable Energy Laboratory

Sep 19, 2017
1 Resources
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