Mapeamento solarimétrico do estado de alagoas em anos de eventos extremos pluviométricos, utilizando o modelo WRF-Solar
DOI:
https://doi.org/10.26848/rbgf.v19.02.p586-599Keywords:
Radiação Solar, Eventos Extremos, Modelos AtmosféricosAbstract
Solar energy is a strategic solution for the planning of photovoltaic systems and is essential for achieving global sustainability goals. In Alagoas, despite its high solar potential, extreme climate events such as heavy rains and prolonged droughts challenge renewable energy generation. This study assessed the effectiveness of the WRF-Solar model in estimating the solar potential of the state, focusing on years with extreme precipitation events. Data from the WRF-Solar model (version 4.6.0, 5 km resolution) for the period of 2022 to 2023, covering the Alagoas region, were analyzed. The model validation was performed quantitatively with radiation data from INMET and qualitatively with rainfall data from MERGE. The model, with adjustments optimized to simulate solar irradiance (including interaction with aerosols and hybrid clouds), showed greater accuracy in representing the spatial and temporal variability of solar radiation. Statistical metrics revealed r values of 0.74, 0.80, and 0.86 for the Litoral, Agreste, and Sertão regions, respectively, with RMSE values of 207.77 W/m², 197.73 W/m², and 181.33 W/m². During the La Niña event of 2022, there was an average reduction of 15% in solar irradiance across the state. The Sertão region stood out with the highest solar potential, with an annual average of 6.5 kWh/m².d. The study demonstrated the effectiveness of WRF-Solar in mapping solar potential and analyzing the impacts of extreme climate events, aiding in the planning and expansion of photovoltaic energy in Alagoas.
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Copyright (c) 1969 Taiane Alves da Silva, Rosiberto Salustiano da Silva Junior, Diogo Nunes da Silva Ramos, Antônio Marcos D. Andrade, José Francisco de Oliveira Junior, Ewerton de Souza Muniz

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