@Article{CostaMartPere:2016:ExDiHo,
author = "Costa, Rodrigo Santos and Martins, Fernando Ramos and Pereira,
Enio Bueno",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Atmospheric aerosol influence on the Brazilian solar energy
assessment: Experiments with different horizontal visibility bases
in radiative transfer model",
journal = "Renewable Energy",
year = "2016",
volume = "90",
pages = "120--135",
month = "May",
keywords = "Atmospheric aerosols, Biomass burning, Solar energy assessment,
Solar irradiation.",
abstract = "The radiative transfer model BRASIL-SR is used by Brazilian
Institute for Space Research for the assessment of the solar
irradiation in Brazil. The model parameterizes the influence of
aerosols in the solar radiation transmittance using climate
averages of horizontal visibility, which does not represent the
actual atmospheric condition in Brazil, especially during dry
season. In clear sky conditions, aerosols are a major source of
bias in solar radiation models. Their concentration have large
spatial and temporal variability particularly in the Brazilian
Midwestern region from April until October, due to forest fires,
and in Southeastern region due to pollution from megacities. In
this study, meteorological data from METAR comprising the years of
2006, 2007 and 2008 were analyzed to evaluate the seasonal
variability of the horizontal visibility in Brazil to better
represent the influence of aerosols on the model estimations of
surface solar irradiation. New horizontal visibility values was
generated to each month simulated, to provide input data to the
BRASIL-SR model and site specific ground data were used to
validate the model estimates. The global, direct beam and diffuse
solar irradiation estimates obtained by making use of the new
horizontal visibility data presented an overall lower BIAS and
RMSE deviations.",
doi = "10.1016/j.renene.2015.12.053",
url = "http://dx.doi.org/10.1016/j.renene.2015.12.053",
issn = "0960-1481",
language = "en",
urlaccessdate = "28 jun. 2024"
}