PERFORMANCE OF THE HIGH-RESOLUTION WRF-SOLAR IN ESTIMATING GLOBAL HORIZONTAL IRRADIANCE IN THE CITY OF MACAPÁ-AP.
DOI:
https://doi.org/10.59627/cbens.2024.2476Keywords:
Atmospheric Modeling, Solar Energy, Northern RegionAbstract
The diversification of the energetic matrix brings different benefits, and photovoltaic solar energy is a promising source of energy due to its scalability and modularity. The state of Amapá is located in the tropical region, where it receives a large amount of solar energy throughout the year. However, the lack of studies into the region's solar potential hinders the expansion of photovoltaic systems in the state. In assessing solar resources, atmospheric models have emerged as a key tool, such as the Weather Research Forecast (WRF). Version 4.3.1 of the WRF-Solar model, a specific version for solar energy applications, was used to simulate the Global Horizontal Irradiance (GHI) of the city of Macapá-AP, in the northern of Brazil The objective was to show preliminary results on the efficiency of the WRF-Solar model in estimating the seasonal GHI for the city of Macapá-AP, as well as to check whether a higher resolution improves the results of the simulations. The Typical Meteorological Year (TMY) was calculated using the Sandia method. The algorithm proposed by the Baseline Surface Radiation Network (BSRN) was used to process hourly data from the automatic meteorological station (EMA) of the National Institute of Meteorology (INMET) in the city of Macapá-AP. Two cumulus parameterizations were used to represent the region's climate. Input data from 1-hourly ERA5 reanalysis was used. The use of high-resolution data reduced the nRMSE of the GHI, especially during spring, from 22% to 17%. The reduction in RMSE was approximately 48.37 W.m-2 in spring. The high resolution WRF-Solar simulations showed more efficient estimates.
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