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Impact of aerosols on the Brazilian solar energy resource potential

Grant number: 19/05361-8
Support Opportunities:Scholarships in Brazil - Post-Doctoral
Effective date (Start): August 01, 2019
Effective date (End): September 30, 2021
Field of knowledge:Physical Sciences and Mathematics - Geosciences - Meteorology
Principal Investigator:Fernando Ramos Martins
Grantee:Madeleine Sánchez Gácita Casagrande
Host Institution: Instituto de Saúde e Sociedade (ISS). Universidade Federal de São Paulo (UNIFESP). Campus Baixada Santista. Santos , SP, Brazil
Associated research grant:14/50848-9 - INCT 2014: INCT for Climate Change, AP.PFPMCG.TEM


Solar energy and, in particular, concentrating solar technologies have shown a noteworthy growth potential in Brazil in scenarios of climate change mitigation. The accurate assessment of the surface solar irradiation and, in particular, of the direct normal irradiation (DNI) is critical to support the planning, decision making and future operation of solar energy facilities. On the other hand, atmospheric aerosols are the most important factor for solar radiation extinction under clear sky conditions, posing more influence to the DNI than to the global horizontal irradiation (GHI). In Brazil, biomass burning activities emit large quantities of aerosols that frequently suffer long-range transport. This proposal aims at contributing to the expansion of the solar energy market in Brazil by providing a more accurate knowledge of the impact of aerosols on DNI and GHI. To that end, an aerosol parameterization based on aerosol optical depth (AOD) data will be included in the radiative transfer model BRASIL-SR, while maintaining the spectral and vertical structure of the model. The AOD data could be provided either by mesoscale reanalysis or by GOES-R specific products. The spectral representation of the aerosol optical properties in the model grid will be derived from AERONET data and interpolation techniques. The model will also be tuned to use GOES-R visible data to evaluate the effective cloud cover index. Satellite parallax and clouds location errors will be corrected following geometrical considerations. The new version of model BRASIL-SR will be useful to generate historical series, current estimates or even surface irradiation forecasts. It is expected to reduce uncertainties in DNI and GHI estimates for all atmospheric conditions, and to a greater extent for conditions with a cloudless sky and/or high aerosol load.

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
GONCALVES, ANDRE R.; ASSIREU, ARCILAN T.; MARTINS, FERNANDO R.; CASAGRANDE, MADELEINE S. G.; MATTOS, ENRIQUE, V; COSTA, RODRIGO S.; PASSOS, ROBSON B.; PEREIRA, SILVIA, V; PES, MARCELO P.; LIMA, FRANCISCO J. L.; et al. Enhancement of Cloudless Skies Frequency over a Large Tropical Reservoir in Brazil. REMOTE SENSING, v. 12, n. 17, p. 26-pg., . (14/50848-9, 19/05361-8)
CASAGRANDE, MADELEINE S. G.; MARTINS, FERNANDO R.; ROSARIO, NILTON E.; LIMA, FRANCISCO J. L.; GONCALVES, ANDRE R.; COSTA, RODRIGO S.; ZARZUR, MAURICIO; PES, MARCELO P.; PEREIRA, ENIO BUENO. Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions-A Case Study in Brazilian Amazon and Cerrado. REMOTE SENSING, v. 13, n. 22, . (14/50848-9, 19/05361-8)

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