Reducing uncertainties of climate projections on solar energy resources in Brazil
| dc.contributor.author | de Lima, Francisco José Lopes | |
| dc.contributor.author | Gonçalves, André Rodrigues | |
| dc.contributor.author | Costa, Rodrigo Santos | |
| dc.contributor.author | Pes, Marcelo Pizzuti | |
| dc.contributor.author | dos Santos, Ana Paula Paes | |
| dc.contributor.author | Orsini, Jose Antonio Marengo [UNESP] | |
| dc.contributor.author | Pereira, Enio Bueno | |
| dc.contributor.author | Martins, Fernando Ramos | |
| dc.contributor.institution | Brazilian Institute for Space Research | |
| dc.contributor.institution | National Center for Monitoring and Early Warning of Natural Disasters | |
| dc.contributor.institution | Universidade de São Paulo (USP) | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.contributor.institution | Korea University | |
| dc.date.accessioned | 2025-04-29T20:15:57Z | |
| dc.date.issued | 2024-12-01 | |
| dc.description.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. | en |
| dc.description.affiliation | Division of Impacts Adaptation and Vulnerabilities Brazilian Institute for Space Research, SP | |
| dc.description.affiliation | National Center for Monitoring and Early Warning of Natural Disasters | |
| dc.description.affiliation | Institute of Marine Science Federal University of São Paulo - campus Baixada Santista, SP | |
| dc.description.affiliation | Graduate Program in Natural Disasters UNESP/CEMADEN | |
| dc.description.affiliation | Graduate School of International Studies Korea University | |
| dc.description.affiliationUnesp | Graduate Program in Natural Disasters UNESP/CEMADEN | |
| dc.description.sponsorship | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) | |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
| dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
| dc.description.sponsorshipId | CAPES: 16/2014 | |
| dc.description.sponsorshipId | FAPESP: 2014/50848-9 | |
| dc.description.sponsorshipId | CNPq: 465501/2014-1 | |
| dc.identifier | http://dx.doi.org/10.1038/s41598-024-73769-y | |
| dc.identifier.citation | Scientific Reports, v. 14, n. 1, 2024. | |
| dc.identifier.doi | 10.1038/s41598-024-73769-y | |
| dc.identifier.issn | 2045-2322 | |
| dc.identifier.scopus | 2-s2.0-85206961519 | |
| dc.identifier.uri | https://hdl.handle.net/11449/309567 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Scientific Reports | |
| dc.source | Scopus | |
| dc.title | Reducing uncertainties of climate projections on solar energy resources in Brazil | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication |
