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Updated: Jun 9, 2025

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
Reducing uncertainties of climate projections on solar energy resources in Brazil
Francisco José Lopes de Lima1,2, André Rodrigues Gonçalves1, Rodrigo Santos Costa1
1Division of Impacts, Adaptation and Vulnerabilities, Brazilian Institute for Space Research, São José dos Campos, SP, 12227-010, Brazil.
Abstract:
The share of solar power in Brazil's electrical grid has rapidly increased, relieving GHG emissions and diversifying energy sources for greater energy security. Besides that, solar resource is susceptible to climate change, adding uncertainty to electrical grid resilience. This study uses satellite and reanalysis data to evaluate the performance of CMIP6 models in replicating and predicting surface solar irradiance (SSR) in Brazil. The results from the most reliable models indicate an increase in SSR by 2% to 8% in most regions, with a decrease of around 3% in the South. These findings highlight the potential for increased photovoltaic (PV) yield if backed by supportive public policies while underlining the importance of uncertainty assessment of climate models.
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