journal article·2025-04-22Open access

Electroluminescence Imaging Based on FFT Analysis for Outdoor Photovoltaic Module Inspection: A Self-Powered Signal Modulation Approach

Alberto Redondo-Plaza, Amy Zulema Velasco-Bonilla, José Ignacio Morales-Aragones, Ángel L. Zorita-Lamadrid, Víctor Alonso-Gómez, Luis Hernández-Callejo

Applied Sciences· Volume 15· Issue 9

Abstract

Electroluminescence imaging is increasingly used in photovoltaic power plant inspections due to its effectiveness in detecting various types of failures in solar cells. This article presents a novel technique that enables the modulation of an arbitrary electroluminescence signal in PV modules using an electronic device that controls the signal by modulating an arbitrary current waveform in a photovoltaic module, utilizing the string current as its energy source. As a result, measurements do not require a power supply and can be performed during the normal operation of a PV string. Throughout the paper, this method is compared to a more conventional approach that relies solely on a power supply to generate the current signal. Capturing a sequence of images while modulating the current with different waveforms allows the application of the Fast Fourier Transform to suppress background signals caused by sunlight, resulting in high-quality EL images. Experimental results demonstrate that the proposed method delivers imaging quality comparable to that achieved with a power supply, while effectively detecting a broad range of solar cell failures. Furthermore, the calculated signal-to-noise ratio for both approaches yields similar values, indicating comparable quality in quantitative terms. Finally, square wave modulation has shown slightly better performance than other waveforms, such as sinusoidal and half-sinusoidal modulation.
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Research context

OpenAlex topics: Photovoltaic System Optimization Techniques · Silicon and Solar Cell Technologies · Integrated Circuits and Semiconductor Failure Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Departamento de Ingeniería Agrícola y Forestal, Universidad de Valladolid, 42004 Soria, Spain

Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-UNIZAR, 50018 Zaragoza, Spain

Departamento de Ingeniería Eléctrica, Universidad de Valladolid, 47002 Valladolid, Spain

Departamento de Física Aplicada, Universidad de Valladolid, 47002 Valladolid, Spain

Funding

MCIU · MCIU/AEI/10.13039/501100011033, FEDER, EU · U.T.E. Duques de Soria.-ARCOR, S.L.U. Y Hermanos Rubio Grupo Constructor HERCE, S.L.

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