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

Publicly accessible License 

This dataset comprises Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the rapid 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 Space Administration (NASA) Prediction of Worldwide Energy Resources (POWER) data spanning from 2001 to 2022. These synthetic years represent the long-term average solar and wind resource conditions of a location, respectively. The POWER solar data is derived from satellite observations and has a spatial resolution of 1 degree * 1 degree (latitude/longitude). The meteorological variables are sourced from NASA's Goddard Earth Observing System (GEOS) Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) assimilation model, which features a spatial resolution of 1/2 degree * 5/8 degree (latitude/longitude).

The methods for creating TSYs and TWYs are adapted from the Sandia method. Specifically, the weights assigned to different weather parameters have been adjusted, and the final selection step has been omitted. For TSYs, a weight of 0.7 is assigned to daily cumulative GHI, and 0.3 is assigned to daily cumulative DNI. For TWYs, weights of 0.2, 0.2, and 0.6 are assigned to daily median zonal wind speed, daily median meridional wind speed, and daily 0.75 quantile wind speed, respectively. The rationale for selecting these weights is detailed in a separate paper submitted to a scientific journal (to be added after publication). 12 representative months are then selected based on their Finkelstein-Schafer (FS) statistics and concatenated into a synthetic year.

The TSYs and TWYs are provided for the centroids of all Public Use Microdata Areas (PUMAs) in the U.S. PUMAs are non-overlapping statistical geographic areas that partition each state or equivalent entity into regions containing no fewer than 100,000 people each. The 2,378 PUMAs collectively cover the entire U.S. A file named "PUMA information.csv" is included with the dataset, containing the PUMA number, PUMA name, latitude, longitude, elevation, and time zone of all PUMA centroids. Users can reference this file to find the PUMAs corresponding to their locations of interest.

To accommodate different user communities, the data is provided in three formats. The TSYs are available in EPW and SAM weather file formats. The EPW format, developed by the U.S. Department of Energy, is a de facto standard for weather data in building energy modeling and is compatible with various building energy modeling programs, including EnergyPlus, ESP-r, and IESVE. The SAM weather file format is designed for the System Advisor Model (SAM), a renewable energy project evaluation tool developed by the National Renewable Energy Laboratory (NREL). The TWYs are published in EPW and CSV formats.

Citation Formats

Argonne National Laboratory. (2024). Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance [data set]. Retrieved from https://data.openei.org/submissions/6112.
Export Citation to RIS
Zeng, Zhaoyun, Stackhouse, Paul, Kim, Ji-Hyun, and Muehleisen, Ralph. Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance. United States: N.p., 14 Jul, 2024. Web. https://data.openei.org/submissions/6112.
Zeng, Zhaoyun, Stackhouse, Paul, Kim, Ji-Hyun, & Muehleisen, Ralph. Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance. United States. https://data.openei.org/submissions/6112
Zeng, Zhaoyun, Stackhouse, Paul, Kim, Ji-Hyun, and Muehleisen, Ralph. 2024. "Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance". United States. https://data.openei.org/submissions/6112.
@div{oedi_6112, title = {Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance}, author = {Zeng, Zhaoyun, Stackhouse, Paul, Kim, Ji-Hyun, and Muehleisen, Ralph.}, abstractNote = {This dataset comprises Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the rapid 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 Space Administration (NASA) Prediction of Worldwide Energy Resources (POWER) data spanning from 2001 to 2022. These synthetic years represent the long-term average solar and wind resource conditions of a location, respectively. The POWER solar data is derived from satellite observations and has a spatial resolution of 1 degree * 1 degree (latitude/longitude). The meteorological variables are sourced from NASA's Goddard Earth Observing System (GEOS) Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) assimilation model, which features a spatial resolution of 1/2 degree * 5/8 degree (latitude/longitude).

The methods for creating TSYs and TWYs are adapted from the Sandia method. Specifically, the weights assigned to different weather parameters have been adjusted, and the final selection step has been omitted. For TSYs, a weight of 0.7 is assigned to daily cumulative GHI, and 0.3 is assigned to daily cumulative DNI. For TWYs, weights of 0.2, 0.2, and 0.6 are assigned to daily median zonal wind speed, daily median meridional wind speed, and daily 0.75 quantile wind speed, respectively. The rationale for selecting these weights is detailed in a separate paper submitted to a scientific journal (to be added after publication). 12 representative months are then selected based on their Finkelstein-Schafer (FS) statistics and concatenated into a synthetic year.

The TSYs and TWYs are provided for the centroids of all Public Use Microdata Areas (PUMAs) in the U.S. PUMAs are non-overlapping statistical geographic areas that partition each state or equivalent entity into regions containing no fewer than 100,000 people each. The 2,378 PUMAs collectively cover the entire U.S. A file named "PUMA information.csv" is included with the dataset, containing the PUMA number, PUMA name, latitude, longitude, elevation, and time zone of all PUMA centroids. Users can reference this file to find the PUMAs corresponding to their locations of interest.

To accommodate different user communities, the data is provided in three formats. The TSYs are available in EPW and SAM weather file formats. The EPW format, developed by the U.S. Department of Energy, is a de facto standard for weather data in building energy modeling and is compatible with various building energy modeling programs, including EnergyPlus, ESP-r, and IESVE. The SAM weather file format is designed for the System Advisor Model (SAM), a renewable energy project evaluation tool developed by the National Renewable Energy Laboratory (NREL). The TWYs are published in EPW and CSV formats.}, doi = {}, url = {https://data.openei.org/submissions/6112}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {07}}

Details

Data from Jul 14, 2024

Last updated Aug 28, 2024

Submitted Jul 15, 2024

Organization

Argonne National Laboratory

Contact

Zhaoyun Zeng

Authors

Zhaoyun Zeng

Argonne National Laboratory

Paul Stackhouse

National Aeronautics and Space Administration

Ji-Hyun Kim

Argonne National Laboratory

Ralph Muehleisen

Argonne National Laboratory

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