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Analysis of WRF-solar in the estimation of global horizontal irradiation in Amapá, northern Brazil

Author

Listed:
  • Amorim, Ana Cleide Bezerra
  • de Almeida Dantas, Vanessa
  • dos Reis, Jean Souza
  • de Assis Bose, Nicolas
  • Emiliavaca, Samira de Azevedo Santos
  • Cruz Bezerra, Luciano André
  • de Matos, Maria de Fátima Alves
  • de Mello Nobre, Mariana Torres Correia
  • Oliveira, Leonardo de Lima
  • de Medeiros, Antônio Marcos

Abstract

Global horizontal irradiance (GHI) was simulated using version 4.3.1 of the WRF-Solar model over the state of Amapá in the northern region of Brazil. The performance of the Fast All-sky Model for Solar Applications (FARMS) algorithm, called WsolarAPf, was evaluated. The algorithm proposed by the Baseline Surface Radiation Network was used to treat hourly data from the automatic meteorological station of the National Institute of Meteorology in the city of Macapá-AP. Two cumulus parameterizations were needed to represent the rainy and less rainy periods. The modeling used input data from ERA5 reanalysis. Using cluster analysis, it was possible to estimate the typical meteorological year representative for a large area. The use of the FARMS algorithm reduced the relative RMSE of the GHI during winter (JJA) and austral spring (SON), from 26 % to 16 % in austral winter and from 17 % to 12 % in austral spring. The average daily maximum of GHI occurs at 13:00 local time during all seasons, and WRF-Solar showed it at 13:00 and 14:00 in the rainy season and 12:00 and 13:00 in the less rainy season. The suggestion to explore the development of an optimal combination of the two model predictions can be implemented using FARMS.

Suggested Citation

  • Amorim, Ana Cleide Bezerra & de Almeida Dantas, Vanessa & dos Reis, Jean Souza & de Assis Bose, Nicolas & Emiliavaca, Samira de Azevedo Santos & Cruz Bezerra, Luciano André & de Matos, Maria de Fátima, 2024. "Analysis of WRF-solar in the estimation of global horizontal irradiation in Amapá, northern Brazil," Renewable Energy, Elsevier, vol. 235(C).
    • Handle: RePEc:eee:renene:v:235:y:2024:i:c:s0960148124014290
    DOI: 10.1016/j.renene.2024.121361
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    References listed on IDEAS

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    1. Zempila, Melina-Maria & Giannaros, Theodore M. & Bais, Alkiviadis & Melas, Dimitris & Kazantzidis, Andreas, 2016. "Evaluation of WRF shortwave radiation parameterizations in predicting Global Horizontal Irradiance in Greece," Renewable Energy, Elsevier, vol. 86(C), pages 831-840.
    2. Jean Souza dos Reis & Nícolas de Assis Bose & Ana Cleide Bezerra Amorim & Vanessa de Almeida Dantas & Luciano Andre Cruz Bezerra & Leonardo de Lima Oliveira & Samira de Azevedo Emiliavaca & Maria de F, 2023. "Wind and Solar Energy Generation Potential Features in the Extreme Northern Amazon Using Reanalysis Data," Energies, MDPI, vol. 16(22), pages 1-27, November.
    3. Sengupta, Manajit & Xie, Yu & Lopez, Anthony & Habte, Aron & Maclaurin, Galen & Shelby, James, 2018. "The National Solar Radiation Data Base (NSRDB)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 51-60.
    4. Kaur, Amanpreet & Nonnenmacher, Lukas & Pedro, Hugo T.C. & Coimbra, Carlos F.M., 2016. "Benefits of solar forecasting for energy imbalance markets," Renewable Energy, Elsevier, vol. 86(C), pages 819-830.
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    Keywords

    WRF; Solar; GHI; FARMS; Amapá;
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