Using EMPHASIS for the Thermography-Based Fault Detection in Photovoltaic Plants

Antonio Pio Catalano, Ciro Scognamillo, Pierluigi Guerriero, Santolo Daliento and Vincenzo d’Alessandro
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Antonio Pio Catalano: Department of Electrical Engineering and Information Technology, University ‘Federico II’, 80125 Naples, Italy
Ciro Scognamillo: Department of Electrical Engineering and Information Technology, University ‘Federico II’, 80125 Naples, Italy
Pierluigi Guerriero: Department of Electrical Engineering and Information Technology, University ‘Federico II’, 80125 Naples, Italy
Santolo Daliento: Department of Electrical Engineering and Information Technology, University ‘Federico II’, 80125 Naples, Italy
Vincenzo d’Alessandro: Department of Electrical Engineering and Information Technology, University ‘Federico II’, 80125 Naples, Italy

Energies, 2021, vol. 14, issue 6, 1-19

Abstract: In this paper, an Efficient Method for PHotovoltaic Arrays Study through Infrared Scanning (EMPHASIS) is presented; it is a fast, simple, and trustworthy cell-level diagnosis method for commercial photovoltaic (PV) panels. EMPHASIS processes temperature maps experimentally obtained through IR cameras and is based on a power balance equation. Along with the identification of malfunction events, EMPHASIS offers an innovative feature, i.e., it estimates the electrical powers generated (or dissipated) by the individual cells. A procedure to evaluate the accuracy of the EMPHASIS predictions is proposed, which relies on detailed three-dimensional (3-D) numerical simulations to emulate realistic temperature maps of PV panels under any working condition. Malfunctioning panels were replicated in the numerical environment and the corresponding temperature maps were fed to EMPHASIS. Excellent results were achieved in both the cell- and panel-level power predictions. More specifically, the estimation of the power production of a PV panel with a shunted cell demonstrated an error lower than 1%. In cases of strong nonuniformities as a PV panel in hotspot, an estimation error in the range of 9–16% was quantified.

Keywords: analytical method; cell-level diagnosis; fault detection; photovoltaic (PV) plants; power assessment; thermography (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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