Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels

Estefanía Alfaro-Mejía; Humberto Loaiza-Correa; Edinson Franco-Mejía; Andrés David Restrepo-Girón; Sandra Esperanza Nope-Rodríguez

doi:10.1016/j.dib.2019.104441

Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels

Data Brief. 2019 Aug 28:26:104441. doi: 10.1016/j.dib.2019.104441. eCollection 2019 Oct.

Authors

Estefanía Alfaro-Mejía¹, Humberto Loaiza-Correa¹, Edinson Franco-Mejía¹, Andrés David Restrepo-Girón¹, Sandra Esperanza Nope-Rodríguez¹

Affiliation

¹ Escuela de Ingeniería Eléctrica y Electrónica (EIEE), Facultad de Ingeniería, Universidad del Valle, Colombia.

Abstract

This article presents a dataset for thermal characterization of photovoltaic systems to identify snail trails and hot spot failures. This dataset has 277 thermographic aerial images that were acquired by a Zenmuse XT IR camera (7-13 $μ m$ wavelength) from a DJI Matrice 100 ¹drone (quadcopter). Additionally, our dataset includes the next environmental measurements: temperature, wind speed, and irradiance. The experimental set up consisted in a photovoltaic array of 4 serial monocrystalline Si panels (string) and an electronic equipment emulating a real load. The conditions for images acquisition were stablished in a flight protocol in which we defined altitude, attitude, and weather conditions.

Keywords: Hot spot defects; Monocrystalline Si panels; Photovoltaic array inspection; Snail trails; Thermographic images analysis; Unmanned aerial vehicles.