TL;DR
This paper investigates solar irradiance variability using GPS data and high-resolution sky cameras to better understand atmospheric effects and improve solar energy predictions.
Contribution
It introduces a novel approach combining GPS and camera data to analyze factors influencing solar irradiance variability.
Findings
Identified key atmospheric factors affecting irradiance.
Correlated cloud phenomena with irradiance fluctuations.
Enhanced understanding of atmospheric impacts on solar energy.
Abstract
The total amount of solar irradiance falling on the earth's surface is an important area of study amongst the photo-voltaic (PV) engineers and remote sensing analysts. The received solar irradiance impacts the total amount of generated solar energy. However, this generation is often hindered by the high degree of solar irradiance variability. In this paper, we study the main factors behind such variability with the assistance of Global Positioning System (GPS) and ground-based, high-resolution sky cameras. This analysis will also be helpful for understanding cloud phenomenon and other events in the earth's atmosphere.
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