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

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.

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Publication Details

Journal
Renewable Energy
Published
2024-09-16
DOI
https://doi.org/10.1016/j.renene.2024.121361
Citations
5
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
1.74
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article

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

Maria de Fátima Alves de Matos, Vanessa de Almeida Dantas, Ana Cleide Bezerra Amorim, Jean Souza dos Reis et al.
5 citations
Renewable Energy
Solar Radiation and Photovoltaics
1.74
article

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

Maria de Fátima Alves de Matos, Vanessa de Almeida Dantas, Ana Cleide Bezerra Amorim, Jean Souza dos Reis, Leonardo de Lima Oliveira, Luciano André Cruz Bezerra, Samira de Azevedo Santos Emiliavaca, Mariana Torres Correia de Mello Nobre, Nicolas de Assis Bosea, Adelson Bezerra de Medeiros
article en
5 citations

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.

Renewable EnergyVol. 235
Serviço Nacional de Aprendizagem Industrial (BR)
Climate action
Openalex Percentile: Top 13%
Solar Radiation and Photovoltaics
1.74
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Analysis of WRF-solar in the estimation of global horizontal irradiation in Amapá, northern Brazil — Maria de Fátima Alves de Matos, Vanessa de Almeida Dantas, et al. · Renewable Energy (2024) | TGRS Research Map | TGRS