Título:
Accurate estimation of solar PV power plant capacity factors in Uruguay through detailed quality control and satellite gap filling.
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Autor:
Rehermann, Sandino
Teixeira-Branco, Vívian
Furtado de Medeiros, Joao V.
Alonso-Suárez, Rodrigo
Teixeira-Branco, Vívian
Furtado de Medeiros, Joao V.
Alonso-Suárez, Rodrigo
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Tipo de documento:
Preprint
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Palabras clave:
PV
Capacity factor
Data quality control
Solar satellite estimate
Gap filling
Capacity factor
Data quality control
Solar satellite estimate
Gap filling
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Año de publicación:
2024
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Resumen:
This study implements a methodology to produce accurate, gap-free time series of solar irradiance and PV generation data for a large photovoltaic (PV) power plantin Uruguay. Addressing the challenge of data gaps in solar energy monitoring, the work employs quality control techniques, satellite-based solar irradiance estimation, solar radiation and PV models, and gap-filling procedures to generate a comprehensive five-year dataset at 10-minute intervals. The resulting dataset allows detailed analysis of solar resource availability, PV production and capacity factors. The study finds an average capacity factor of 22.4% over the fiveyear period, with monthly variations ranging from 14.1% to 28.1%. This work provides the first precise assessment of PV plant capacity factors in Uruguay, providing valuable insights for grid management and future solar energy investments.
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Citación:
Rehermann, S., Teixeira-Branco, V., Furtado de Medeiros, J. y otros. Accurate estimation of solar PV power plant capacity factors in Uruguay through detailed quality control and satellite gap filling [Preprint] Publicado en : Proceedings 2024 IEEE URUCON, 18-20 Nov. 2024, Montevideo, Uruguay. DOI: 10.1109/URUCON63440.2024.10850113.
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Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| RTFA24.pdf | Preprint | 1.56 MB | Adobe PDF |