@Article{LuizMartGonēPere:2018:AnInSo,
author = "Luiz, Eduardo Weide and Martins, Fernando Ramos and
Gon{\c{c}}alves, Andr{\'e} Rodrigues and Pereira, Enio Bueno",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Federal de S{\~a}o Paulo (UNIFESP)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Analysis of intra-day solar irradiance variability in different
Brazilian climate zones",
journal = "Solar Energy",
year = "2018",
volume = "167",
pages = "210--219",
month = "June",
keywords = "Solar variability, Effective cloud cover, Satellite data.",
abstract = "One of the main barriers to increasing the solar energy share is
its intermittency. Solar energys large variability in different
timescales is driven by natural solar astronomical cycles and
weather. Ground-based measurements are important for evaluating
variability at high temporal resolutions, but they are only
representative of small areas close to the measurement sites.
Satellite observations come as an alternative to analysis over
large areas. However, they have coarse temporal and spatial
resolutions. In our study, we first evaluated the variability in
different time steps, using one-year of 1-min resolution
ground-based irradiance measured at three sites located in
different Brazilian climate regimes. The results showed that more
humid months have the largest variability. By contrast, the driest
locations presented more variability on short timescales, probably
due to the presence of a large number of clouds, even in very dry
conditions. This characteristic can be of concern to Brazilian
energy planning since the site is located in the most prominent
region for solar energy generation. We also compared ground
observations with satellite cloud variability, with 30-min
resolution. For the same timescale, the results were promising,
with a Pearson correlation of up to 0.93, depending on the site.
However, when the frequency of the solar irradiance measurements
increased, the correlation decreased. A solution may be to analyze
a larger pixel area around the sites. Another option would be the
use of downscaling methods. This topic, however, will be the
subject of the future study. The most important result achieved in
this study was the development of a simple methodology for
evaluating the surface solar irradiance variability using cloud
cover obtained from visible satellite imagery.",
doi = "10.1016/j.solener.2018.04.005",
url = "http://dx.doi.org/10.1016/j.solener.2018.04.005",
issn = "0038-092X",
language = "en",
targetfile = "luiz_analysis.pdf",
urlaccessdate = "25 abr. 2024"
}