Photoluminescence for Defect Detection on Full-Sized Photovoltaic Modules

Doll, Bernd; Hepp, Johannes; Hoffmann, Mathis; Schüler, R.; Buerhop‐Lutz, Claudia; Peters, Ian Marius; Hauch, Jens; Maier, Andreas; Brabec, Christoph J.

doi:10.1109/jphotov.2021.3099739

Cited by 34 publications

(27 citation statements)

References 36 publications

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“…8(b) shows that after 9-days of PID recovery, the modules are operating at nearly 23°C. There are still several hotspots even after the PID recovery was applied; this is typically due to the severe impact of the PID, forming cracks, breakdown regions, and an increase in the solar cells shunt resistance [16,22].…”

Section: B Pid Recoverymentioning

confidence: 99%

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Recovery of Photovoltaic Potential-Induced Degradation Utilizing Automatic Indirect Voltage Source

Dhimish

Badran

2022

IEEE Trans. Instrum. Meas.

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Section: B Pid Recoverymentioning

confidence: 99%

“…To identify the consequence of PID on PV modules, electroluminescence (EL) imaging is usually performed [13][14][15]. In contrast, other researchers [16,17] have suggested using photoluminescence (PL) imaging. PL imaging is more practical for inspecting large-scale PV modules.…”

Section: Introductionmentioning

confidence: 99%

Recovery of Photovoltaic Potential-Induced Degradation Utilizing Automatic Indirect Voltage Source

Dhimish

Badran

2022

IEEE Trans. Instrum. Meas.

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“…Moreover, diagnostics based on electroluminescence are more expensive than IR analysis. For all these reasons, electroluminescence is preferred to detect specific defects not detectable with IR analysis (e.g., snail trails, EVA degradation) [16]. For a large PV plant, the main difficulty is the time needed to check all the PV modules, considering that an old 1 MWp PV plant is usually constituted by about 5000 PV modules, even if the new modules have a higher power peak than the old ones, as already said.…”

Section: Cloud-based Platform For Ir Analysis Of Photovoltaic Modulesmentioning

confidence: 99%

Criticalities of the Outdoor Infrared Inspection of Photovoltaic Modules by Means of Drones

Vergura

2022

Energies

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Photovoltaic plants are helping to reduce CO2 emissions, but the energy performance of photovoltaic systems must remain high throughout their operational life. Supervision and monitoring are mandatory for large photovoltaic plants because failures can cause high power losses due to the large number of photovoltaic modules. Infrared analysis is effective and reliable in detecting anomalies or failures in photovoltaic modules, but it is time-consuming and expensive when the infrared inspection of large photovoltaic plants is manual. Nowadays, the diffusion of unmanned aerial vehicles equipped with infrared cameras can support the fast supervision of photovoltaic plants. Nevertheless, the use of drones is regulated by international and national rules; consequently, it is not always possible to use a drone, or its utilization is limited based on geographic areas and/or authorizations. Moreover, infrared analysis requires additional requirements when done by drone, because the mutual position between the photovoltaic modules and the infrared camera affects the goodness of the infrared acquisition. This article discusses these critical issues, directs the reader to official, national, and geographic maps for drones, and suggests technical solutions for some specific issues not considered in the technical specification for the outdoor infrared thermography of photovoltaic modules. In particular, the paper proposes a systematic procedure for the legal and effective infrared inspection of photovoltaic modules by means of a drone and proposes improvements for some issues not discussed in the international rules: the correction of infrared images with respect to the view angle, the impact of a mid-wave and long-wave infrared sensor on the acquired image, and the impact of air transmittance.

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“…However, after the experimental research of related companies, it is known that when the ultrasonic probe is translated on the module, although the signal change can tell whether there are micro-cracks, the gap between the cells will also cause signal change, which cannot be applied to the detection of the entire module. The second is the PL detection scheme, which uses a customized light source to illuminate the silicon wafer, generates excitation and causes luminescence, and collects corresponding images for detection [13] [14]. However, the cost of this scheme is high, and it is generally used for the quality control of silicon wafers before leaving the factory.…”

Section: Related Workmentioning

confidence: 99%

Design of EL defect detection system for photovoltaic power station modules

Fan

Yan

et al. 2022

J. Phys.: Conf. Ser.

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In recent years, the photovoltaic power generation industry has been vigorously promoted and developed, while the solar cell as its core component may have micro-crack defects, which directly affect the power generation efficiency and stability of the photovoltaic system. Therefore, it is necessary to adopt a low-cost, efficient and flexible method to detect defects in solar cells. At present, most of the existing micro-cracks detection is carried out in the laboratory, and there is no EL micro-cracks detection in the actual photovoltaic power station. The main purpose of this paper is to design a set of EL defect detection system that can be used for actual photovoltaic power station modules, which is different from the traditional laboratory-level or module-level defect detection, and to carry the designed detection algorithm to the integrated device to operate. Experiments have shown that the system can perform real-time detection of photovoltaic module defects based on the string level, which improves the detection efficiency while saving time and cost, and shows good performance.

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Photoluminescence for Defect Detection on Full-Sized Photovoltaic Modules

Cited by 34 publications

References 36 publications

Recovery of Photovoltaic Potential-Induced Degradation Utilizing Automatic Indirect Voltage Source

Recovery of Photovoltaic Potential-Induced Degradation Utilizing Automatic Indirect Voltage Source

Criticalities of the Outdoor Infrared Inspection of Photovoltaic Modules by Means of Drones

Design of EL defect detection system for photovoltaic power station modules

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