IMCVApr 19, 2018

Analyzing Solar Irradiance Variation From GPS and Cameras

arXiv:1804.07629v14 citations
Originality Synthesis-oriented
AI Analysis

This addresses solar energy efficiency for PV engineers and remote sensing analysts, but appears incremental as it applies existing methods to new data.

The paper tackled the problem of solar irradiance variability, which hinders solar energy generation, by analyzing factors using GPS and sky cameras, and found it helpful for understanding atmospheric events like cloud phenomena.

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.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes