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A new hourly dataset for photovoltaic energy production for the continental USA
oleh: Weiming Hu, Guido Cervone, Andre Merzky, Matteo Turilli, Shantenu Jha
| Format: | Article |
|---|---|
| Diterbitkan: | Elsevier 2022-02-01 |
Deskripsi
This new dataset is an 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 21×13=273 simulated scenarios. Simulations are carried out for the entire year 2019, with a temporal resolution of one hour, and a 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.