Irradiância solar sintética a partir do sensoriamento remoto em satélites geoestacionários: validação dos serviços Solcast e CAMS Radiation em Petrolina-PE, Nordeste brasileiro

• Autor(a) principal: Camelo, Mirella Martins
• Data de Publicação: 2021
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
• Texto Completo: http://www.repositorio.ufc.br/handle/riufc/62656
• topic: Sensoriamento remoto; Dados de satélites; Radiação; Satélites geoestacionários; Energia solar; Remote sensing; Satellite data; Radiation; Geostationary satellite; Solar energy

Due to the increase of research efforts focused on improvements of solar energy utilization, there is in the last years an expressive relevance about the analysis and validation of the accuracy of irradiance data from satellite products. This occurs due to the advantages related to these satellite products services: the simple and easy access to the internet, the low-cost purchase (some of them are free data services) and the wide data availability for essentially the entire global territory. For these reasons, one can obtain radiation data without the need of expensive measurement equipment, thus reducing costs for academic or commercial purposes. Among the products of geostationary satellites, synthetic radiation imitates the statistical behavior of real observations and comes from computational modeling with a physical basis, however, they have estimation errors. In this sense, this study aims to validate the satellite products CAMS Radiation Service and Solcast by the comparison against the irradiance data for Global Horizontal Radiation (GHI) and Normal Direct Radiation (DNI) of a ground-based measurement station located in the city of Petrolina, Northeastern Brazil, under a tropical climate. The station belongs to the Brazilian National Institute of Spatial Research (INPE) and is part of the SONDA network (National Environmental Data Organization System). In addition, this work has also the purpose of analyzing the causes of possible variability in the accuracy obtained, such as the effects of the seasons on the local climate. Furthermore, the accuracy verification of the satellite products is done by the calculation of the error metrics: Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and R² correlation. The error metrics are applied on a solar radiation database for the years ranging from 2004-2018, with a 60-minute temporal resolution.