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Created
August 16, 2021 23:32
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wuh20
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Added Creator Weiming Hu
August 16, 2021 23:32
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wuh20
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August 16, 2021 23:32
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wuh20
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README.md
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coordinates.nc
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modules.csv
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module_00.tar.gz
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September 02, 2021 17:20
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wuh20
License
- https://opensource.org/licenses/MIT
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Updated
Work Title, Keyword, Description, and 1 more
Show Changes
September 02, 2021 17:43
by
wuh20
Work Title
Dataset for Solar Photovoltaic Energy Production Assessment and Forecast Uncertainty Quantification
- A New Hourly Dataset for Photovoltaic Energy Production for the Continental USA
Keyword
Ensemble Simulation, Renewable Energy, Solar Photovoltaic
- Ensemble Simulation, Renewable Energy, Solar Photovoltaic, Analog Ensemble
Description
This data article presents a compilation of solar photovoltaic energy production simulations. The simulation is carried out in three steps. First, a regional weather forecast system is used to generated weather predictions; then, forecast ensembles with 21 members are generated using the Analog Ensemble technique; finally, each scenario is used to simulate 11 different solar panels, scaled to 10 kW performance systems. It has an hourly temporal resolution and a 12 km spatial resolution over the continental US for 2019. The data provide a high spatio-temporal analysis of the power production under different weather scenarios. The size of the data is about 5 TB and therefore, the data are hosted on the Cheyenne supercomputer, operated by the National Center of Atmospheric Research. Details on how to access and how to create proper subsets of the data are provided in this article.
- This new dataset is a ensemble of solar photovoltaic energy production simulations over the continental US. The simulations are carried out in three steps. First, a weather forecast system is used for the predictions of incoming insolation; then, forecast ensembles with 21 members are generated using the Analog Ensemble technique; finally, each ensemble member is used to simulate 13 different solar panels. In total, there are 21 x 13 = 273 simulated scenarios. Simulations are carried out for the entire year 2019, with a temporal resolution of one hour, and spatial resolution of 12 km. The data provide a high spatio-temporal analysis of the power production under different weather and engineering scenarios. The size of the entire dataset is about 1 TB but can be openly accessed by days and scenarios. Details on how to access and use such a dataset are provided in this article.
Publication Date
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Example.html
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Example.ipynb
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README.md
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README.md
September 02, 2021 17:47
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Published
September 02, 2021 17:47
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wuh20
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Updated
March 22, 2022 16:18
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[unknown user]
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Updated
April 04, 2024 10:21
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[unknown user]
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Added Creator Andre Merzky
May 21, 2024 13:17
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avs5190
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Added Creator Matteo Turilli
May 21, 2024 13:17
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avs5190
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Added Creator Shantenu Jha
May 21, 2024 13:17
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avs5190
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Updated Creator Andre Merzky
May 21, 2024 13:18
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avs5190
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Updated Creator Matteo Turilli
May 21, 2024 13:18
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avs5190
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Updated Creator Shantenu Jha
May 21, 2024 13:18
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avs5190