In the last ten years solar energy has expanded its application range from power plants to many industrial applications. The main scope of this paper is to investigate the correlation between aerial image capture altitude and potential defect identification on PV modules. For this scope, unmanned technology was employed to fly over a test laboratory in order to capture images of the modules using sensor and GPS onboard at different altitudes. The results of this study show that PV module defects identification can be classified based on different flight conditions.

Image Resolution and Defects Detection in PV Inspection by Unmanned Technologies

AGHAEI, MOHAMMADREZA;DOLARA, ALBERTO;LEVA, SONIA;GRIMACCIA, FRANCESCO
2016-01-01

Abstract

In the last ten years solar energy has expanded its application range from power plants to many industrial applications. The main scope of this paper is to investigate the correlation between aerial image capture altitude and potential defect identification on PV modules. For this scope, unmanned technology was employed to fly over a test laboratory in order to capture images of the modules using sensor and GPS onboard at different altitudes. The results of this study show that PV module defects identification can be classified based on different flight conditions.
Proceedings IEEE PES GM
978-1-5090-4167-1
Unmanned technologies, photovoltaics, PV module, visual inspection, aerial image capture.
File in questo prodotto:
File Dimensione Formato  
PESGM2016-001146_proceedings.PDF

Accesso riservato

Descrizione: Articolo pubblicato
: Publisher’s version
Dimensione 586.18 kB
Formato Adobe PDF
586.18 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/995572
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 33
  • ???jsp.display-item.citation.isi??? 13
social impact