@Article{LucasSSPGGLH:2022:ReClCh,
               author = "Lucas, Edmundo Wallace Monteiro and Silva, Fabr{\'{\i}}cio 
                         Daniel dos Santos and Souza, Francisco de Assis Salviano de and 
                         Pinto, David Duarte Cavalcante and Gomes, Heliofabio Barros and 
                         Gomes, Helber Barros and Lins, Mayara Christine Correia and 
                         Herdies, Dirceu Lu{\'{\i}}s",
          affiliation = "{Universidade Federal de Campina Grande (UFCG)} and {Universidade 
                         Federal de Alagoas (UFAL)} and {Universidade Federal de Campina 
                         Grande (UFCG)} and {Universidade Federal de Alagoas (UFAL)} and 
                         {Universidade Federal de Alagoas (UFAL)} and {Universidade Federal 
                         de Alagoas (UFAL)} and {Universidade Federal de Alagoas (UFAL)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Regionalization of Climate Change Simulations for the Assessment 
                         of Impacts on Precipitation, Flow Rate and Electricity Generation 
                         in the Xingu River Basin in the Brazilian Amazon",
              journal = "Energies",
                 year = "2022",
               volume = "15",
               number = "20",
                pages = "e7698",
                month = "Oct.",
             keywords = "climate scenarios, regionalization, precipitation, flow rate, 
                         hydroelectric power, , Brazilian Amazon.",
             abstract = "This study applied regionalization techniques on future climate 
                         change scenarios for the precipitation over the Xingu River Basin 
                         (XRB) considering the 20212080 horizon, in order to assess impacts 
                         on the monthly flow rates and possible consequences for 
                         electricity generation at the Belo Monte Hydroelectric Power Plant 
                         (BMHPP). This is the fourth largest hydroelectric power plant in 
                         the world, with a generating capacity of 11,233 MW, and is located 
                         in the Brazilian Amazon. Two representative concentration pathways 
                         (RCP 4.5 and RCP 8.5) and an ensemble comprising four general 
                         circulation models (CanESM2, CNRM-CM5, MPI-ESM-LR and NORESM1-M) 
                         were used. The projections based on both scenarios indicated a 
                         considerable decrease in precipitation during the rainy season and 
                         a slight increase during the dry season relative to the reference 
                         period (19812010). According to the results, a reduction in the 
                         flow rates in Altamira and in the overall potential for power 
                         generation in the BMHPP are also to be expected in both analyzed 
                         periods (20212050 and 20512180). The RCP 4.5 scenario resulted in 
                         milder decreases in those variables than the RCP 8.5. Conforming 
                         to our findings, a reduction of 21.3% in the annual power 
                         generation at the BMHPP is expected until 2080, with a 
                         corresponding use of 38.8% of the maximum potential of the 
                         facility. These results highlight the need for investments in 
                         other renewable energy sources (e.g., wind and solar) in order to 
                         compensate for the upcoming losses in the BMHPP production.",
                  doi = "10.3390/en15207698",
                  url = "http://dx.doi.org/10.3390/en15207698",
                 issn = "1996-1073",
             language = "en",
           targetfile = "energies-15-07698-v2.pdf",
        urlaccessdate = "04 maio 2024"
}