Processing of Global Solar Irradiance and Ground-Based Infrared Sky Images for Very Short-Term Solar Forecasting. (arXiv:2101.08694v3 [astro-ph.IM] UPDATED)
<a href="http://arxiv.org/find/astro-ph/1/au:+Terren_Serrano_G/0/1/0/all/0/1">Guillermo Terrén-Serrano</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Martinez_Ramon_M/0/1/0/all/0/1">Manel Martínez-Ramón</a>
The projection of shadows from moving clouds in the troposphere impacts
energy generation in power grids using Photovoltaic (PV) systems. This
investigation proposes an efficient method of data processing for the
statistical quantification of cloud features using long-wave Infrared (IR)
images and Global Solar Irradiance (GSI) measurements. The infrared images are
obtained using a Data Acquisition System (DAQ) mounted on a solar tracker. We
explain how to remove cyclostationary biases in global solar irradiance
measurements. Seasonal trends are removed from the global solar irradiance time
series, using the theoretical global solar irradiance to obtain the Clear Sky
Index (CSI) time series. We introduce an atmospheric model to remove the effect
of atmospheric scattering and the effect of the Sun’s direct irradiance from
infrared images. Scattering is produced by water spots and dust particles on
the germanium lens of the enclosure. We explain how to remove the scattering
effect produced by the germanium lens attached to the data acquisition system
enclosure window of the infrared camera. An atmospheric condition model
classifies the sky-conditions in four different categories: clear-sky, cumulus,
stratus and nimbus. When an infrared image is classified in the category of
clear-sky, it is used to model the scattering effect of the germanium lens.
The projection of shadows from moving clouds in the troposphere impacts
energy generation in power grids using Photovoltaic (PV) systems. This
investigation proposes an efficient method of data processing for the
statistical quantification of cloud features using long-wave Infrared (IR)
images and Global Solar Irradiance (GSI) measurements. The infrared images are
obtained using a Data Acquisition System (DAQ) mounted on a solar tracker. We
explain how to remove cyclostationary biases in global solar irradiance
measurements. Seasonal trends are removed from the global solar irradiance time
series, using the theoretical global solar irradiance to obtain the Clear Sky
Index (CSI) time series. We introduce an atmospheric model to remove the effect
of atmospheric scattering and the effect of the Sun’s direct irradiance from
infrared images. Scattering is produced by water spots and dust particles on
the germanium lens of the enclosure. We explain how to remove the scattering
effect produced by the germanium lens attached to the data acquisition system
enclosure window of the infrared camera. An atmospheric condition model
classifies the sky-conditions in four different categories: clear-sky, cumulus,
stratus and nimbus. When an infrared image is classified in the category of
clear-sky, it is used to model the scattering effect of the germanium lens.
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