@Article{LimaCoGoPePeMa:2020:CoSoDa,
               author = "Lima, Francisco and Costa, Rodrigo Santos and Gon{\c{c}}alves, 
                         Andr{\'e} Rodrigues and Pes, Marcelo Pizzuti and Pereira, Enio 
                         Bueno and Martins, Fernando R.",
          affiliation = "{Universidade Federal de S{\~a}o Paulo (UNIFESP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Universidade Federal de S{\~a}o Paulo (UNIFESP)}",
                title = "Comparing solar data from NWP models for Brazilian territory",
              journal = "IEEE Latin America Transactions",
                 year = "2020",
               volume = "18",
               number = "5",
                pages = "899--906",
                month = "May",
             keywords = "Solar energy resource assessment, Numerical modeling, Seasonal 
                         patterns, Northeastern Brazilian region.",
             abstract = "Brazil is experiencing continuous growth in the solar energy 
                         market over the last years, and it is expected that solar power 
                         plants will have a significant contribution to the Brazilian 
                         energy matrix soon. The solar irradiance variability is an 
                         important issue due to its impact on electricity distribution 
                         systems. However, solar energy variability has not been 
                         comprehensively evaluated in Brazil. The study aimed to assess the 
                         capacity of two numerical models of mesoscale in simulating the 
                         solar radiation conditions in the Northeastern region of Brazil. 
                         For this, a case study was conducted comparing the surface solar 
                         irradiation data acquired in 41 automated weather stations 
                         operating in the study area and managed by the Brazilian Institute 
                         of Meteorology with estimates provided by two weather mesoscale 
                         models BRAMS and WRF. The study indicated that the difference 
                         between the model's uncertainties is small (typically less than 
                         5\%) when evaluating the entire region of the Brazilian 
                         Northeast. However, local comparisons may show more notable 
                         discrepancies reflecting uncertainties in the estimates produced 
                         by the models.",
                  doi = "10.1109/TLA.2020.9082918",
                  url = "http://dx.doi.org/10.1109/TLA.2020.9082918",
                 issn = "1548-0992",
             language = "en",
        urlaccessdate = "11 maio 2024"
}