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Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance

This dataset comprises Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the efficient assessment of PV system and wind turbine performance for over 2,000 locations across the U.S. TSYs and TWYs are single synthetic years generated from the National Aeronautics and Spac...

Zeng, Z. et al Argonne National Laboratory

Jul 14, 2024
7 Resources
0 Stars
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Open Energy Information (OpenEI.org)

Open Energy Information (OpenEI) is a knowledge-sharing online community dedicated to connecting people with the latest information and data on energy resources from around the world. Created in partnership with the United States Department of Energy and federal laboratories acros...

Brodt-Giles, D. and (EERE), O. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

2024 Standard Scenarios: A U.S. Electricity Sector Outlook

This data corresponds to the 2024 Standard Scenarios report, which contains a suite of forward-looking scenarios of the possible evolution of the U.S. electricity sector through 2050. These files contain modeled projections of the future. Although we strive to capture relevant p...

Gagnon, P. et al National Renewable Energy Laboratory (NREL)

Dec 30, 2024
7 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
0 Stars
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Bhutan Solar Resources

GIS data for Bhutan's direct normal irradiance (DNI), global horizontal irradiance (GHI), and latitude tilt irradiance. Researchers from NREL and the Atmospheric Sciences Research Center (ASRC) at the State University of New York (SUNY) at Albany developed the estimates of Bhutans...

Heimiller, D. et al National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
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PV Rooftop Database for Puerto Rico (PVRDB-PR)

The National Renewable Energy Laboratory's (NREL) PV Rooftop Database for Puerto Rico (PVRDB-PR) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for virtually all buildings in Puerto Rico. The dataset can be downloaded a...

Mooney, M. and Waechter, K. National Renewable Energy Laboratory (NREL)

Dec 16, 2020
5 Resources
0 Stars
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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

Solar Resources by Class and Country

These estimates are derived from the best available solar resource data available to NREL. Resources are organized by class and country. Resolution varies spatially from 1 km to 1 degree (approximately 100 km) depending on the data source. High spatial resolution datasets (1 km...

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

Nov 25, 2014
4 Resources
1 Stars
In curation

Long-run Marginal CO2 Emission Rates Workbooks for 2020 Standard Scenarios Cambium Data

This dataset has been superseded by a new set of workbooks that can be found here: https://data.nrel.gov/submissions/183 These workbooks contain modeled estimates of long-run marginal CO2 emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the...

Gagnon. . et al National Renewable Energy Laboratory

Aug 12, 2021
12 Resources
0 Stars
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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
Publicly accessible

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
0 Stars
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