Analysis and characterization of PV module defects by thermographic inspection

Gallardo-Saavedra, Sara; Hernández-Callejo, Luís; Duque-Pérez, Óscar

doi:10.17533/udea.redin.20190517

Cited by 17 publications

(9 citation statements)

References 34 publications

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“…FLIR Systems, model ThermaCAM S60 has been the IR thermography used. According to [24] and [25], images resolution obtained in a terrestrial thermographic inspection were better than those obtained in aerial thermographic, which has allowed obtaining better results.…”

Section: Methodsmentioning

confidence: 98%

Quality inspection of a 2.85 MW PV power plant under mismatch loss due to different classes of PV module installed

Clavijo-Blanco¹,

Álvarez-Tey²,

Saborido-Barba³

et al. 2020

REPQJ

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In this paper, the quality inspection of a Photovoltaic (PV) power plant under a mismatch effect due to the use of 18 different classes of PV modules from 5 different manufacturers is presented. The quality inspection has been carried out by three different tests; a visual inspection, an infrared (IR) thermography inspection and electrical monitoring. More than 800 IR thermography images have been analyzed to cover all PV modules installed. Some inverters have been electrically monitored to measure electrical parameters, being the focus of this paper the output energy. A PV plant database has been studied to calculate a mismatch power factor of the PV arrays connected in the measured inverters. Mismatch power factor, hot spots and the output energy of the measured inverters have been compared. Results showed that output energy is influenced by the existence of mismatching. In some cases, compared inverters showed a power loss of up to 10%.

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Section: Methodsmentioning

confidence: 98%

Quality inspection of a 2.85 MW PV power plant under mismatch loss due to different classes of PV module installed

Clavijo-Blanco¹,

Álvarez-Tey²,

Saborido-Barba³

et al. 2020

REPQJ

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“…Electroluminescence can also be performed by a UAV survey (Vidal De Oliveira et al, 2019, Alves Dos Reis Benatto et al, 2020, although is it not yet clear how to practically achieve 100% module coverage for a utility-scale site due to the requirement of powering each module (Gallardo-Saavedra et al, 2019).…”

Section: Automating Visual-based Inspectionmentioning

confidence: 99%

Digital Twinning Proof of Concept for Utility-Scale Solar: Benefits, Issues, and Enablers

Starkey

Hancock

Chen

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. A Digital Twin is a virtual representation of a physical asset or system with the purpose of optimizing intelligent behaviour of said physical entity. Digital Twin is a promising tool for asset management as the virtual entity can exist and aid at every stage of a systems life. However, the infancy of the concept means implementation remains at an early stage and particularly poorly defined within an asset management context. Practical case studies of digital twinning (the modelling process of generating and updating Digital Twins) are an important tool to ensure definitions from research are applied rigorously and to aid in their deployment with practitioners in real industrial applications. This-being-said, there are insufficient case studies for asset management digital twinning. In particular, the Digital Twinning process for utility-scale solar has not been considered. Utility-scale solar asset management often suffers challenges due to remoteness and scale of assets, contributing to high labour costs and thus could benefit enormously from an effective Digital Twin to increase precision and accuracy of fault detection and efficiency of labour for O&M tasks. In addition, the data sharing and analysis Digital Twins provide is vital for the immature solar sector. However, Digital Twinning of utility-scale solar has not been well considered and presents issues around cost-effective data collection and modelling. Therefore, this paper details the current state-of-the-art and challenges surveying utility-scale solar and the progress and application of Digital Twin to utility-scale solar. Then a novel proof of concept process for digital twinning of utility-scale solar is presented with a focus on geometric data capture for updating as-is models. Furthermore, the paper will consider Digital Twin requirements and their prescription to current O&M methods in utility-scale solar. Finally, the paper highlights currently available required technology as well as highlighting future technological improvements that would benefit the proposed proof of concept.

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“…Research works that analyze failure mode in solar modules, e.g., Refs. [5][6][7][8][9][10][11], have identified that the power reduction in PV modules under fault causes a deformation of the current-voltage curve, e.g., curves in [12].…”

Section: Introductionmentioning

confidence: 99%

Detection Criterion for Progressive Faults in Photovoltaic Modules Based on Differential Voltage Measurements

Murillo-Soto

Meza

2022

Applied Sciences

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PV modules may experience degradation conditions that affect their power efficiency and affect the rest of the PV array. Based on the literature review, this paper links the parameter variation on a PV module with the six most common degradation faults, namely, series resistance degradation, optical homogeneous degradation, optical heterogeneous degradation, potential induced degradation, micro-cracks, and light-induced degradation. A Monte Carlo-based numerical simulation was used to study the effect of the faults mentioned above in the voltage of the modules in a PV array with one faulty module. A simple expression to identify faults was derived based on the obtained results. The simplicity of this expression allows integrating the fault detection technique in low-cost electronic circuits embedded in a PV module, optimizer, or microinverter.

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Analysis and characterization of PV module defects by thermographic inspection

Cited by 17 publications

References 34 publications

Quality inspection of a 2.85 MW PV power plant under mismatch loss due to different classes of PV module installed

Quality inspection of a 2.85 MW PV power plant under mismatch loss due to different classes of PV module installed

Digital Twinning Proof of Concept for Utility-Scale Solar: Benefits, Issues, and Enablers

Detection Criterion for Progressive Faults in Photovoltaic Modules Based on Differential Voltage Measurements

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