A New Hourly Dataset for Photovoltaic Energy Production for the Continental USA

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.

Citation

Hu, Weiming; Cervone, Guido (2020). A New Hourly Dataset for Photovoltaic Energy Production for the Continental USA [Data set]. Scholarsphere. https://doi.org/10.26207/gyqq-eh43

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Work Title A New Hourly Dataset for Photovoltaic Energy Production for the Continental USA
Access
Open Access
Creators
  1. Weiming Hu
  2. Guido Cervone
Keyword
  1. Ensemble Simulation
  2. Renewable Energy
  3. Solar Photovoltaic
  4. Analog Ensemble
License MIT License
Work Type Dataset
Publication Date September 2020
DOI doi:10.26207/gyqq-eh43
Geographic Area
  1. Continental U.S.
Deposited August 16, 2021

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Work History

Version 1
published

  • Created

    August 16, 2021 23:32 by wuh20

  • Added Creator Weiming Hu

    August 16, 2021 23:32 by wuh20

  • Added Creator Guido Cervone

    August 16, 2021 23:32 by wuh20

  • Added README.md

    August 16, 2021 23:34 by wuh20

  • Deleted README.md

    August 16, 2021 23:34 by wuh20

  • Added coordinates.nc

    August 28, 2021 22:57 by wuh20

  • Added modules.csv

    August 28, 2021 22:58 by wuh20

  • Added module_00.tar.gz

    August 29, 2021 11:12 by wuh20

  • Added module_01.tar.gz

    August 29, 2021 20:26 by wuh20

  • Added module_02.tar.gz

    August 30, 2021 14:29 by wuh20

  • Added module_03.tar.gz

    August 30, 2021 22:23 by wuh20

  • Added module_04.tar.gz

    August 31, 2021 08:59 by wuh20

  • Added module_05.tar.gz

    August 31, 2021 14:33 by wuh20

  • Added module_06.tar.gz

    September 01, 2021 10:54 by wuh20

  • Added module_07.tar.gz

    September 01, 2021 10:54 by wuh20

  • Added module_08.tar.gz

    September 01, 2021 23:58 by wuh20

  • Added module_09.tar.gz

    September 01, 2021 23:58 by wuh20

  • Added module_10.tar.gz

    September 02, 2021 11:37 by wuh20

  • Added module_11.tar.gz

    September 02, 2021 11:37 by wuh20

  • Added module_12.tar.gz

    September 02, 2021 17:16 by wuh20

  • Updated License Show Changes

    September 02, 2021 17:20 by wuh20

    License
    • https://opensource.org/licenses/MIT
  • 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
    • 2020-08
    • 2020-09
  • Added Example.html

    September 02, 2021 17:45 by wuh20

  • Added Example.ipynb

    September 02, 2021 17:45 by wuh20

  • Added README.md

    September 02, 2021 17:45 by wuh20

  • Deleted README.md

    September 02, 2021 17:46 by wuh20

  • Added README.md

    September 02, 2021 17:47 by wuh20

  • Published

    September 02, 2021 17:47 by wuh20

  • Updated

    March 22, 2022 16:18 by [unknown user]

  • Updated

    April 04, 2024 10:21 by [unknown user]