Outdoor Implied Current–Voltage Measurements of an Individual Encapsulated Cell in a Module

Bhoopathy, Raghavi; Kunz, Oliver; Dumbrell, Robert; Trupke, Thorsten; Hameiri, Ziv

doi:10.1109/jphotov.2020.3038344

Cited by 4 publications

(4 citation statements)

References 44 publications

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“…The process developed is described in the following sections. The idea of semibatched imaging was initially introduced by Bhoopathy et al [ 16 ] but with synchronization of camera and LED array.…”

Section: Semibatched Imaging With Automated Op Detectionmentioning

confidence: 99%

Large‐Scale Daylight Photoluminescence: Automated Photovoltaic Module Operating Point Detection and Performance Loss Assessment by Quantitative Signal Analysis

Koester,

Louwen,

Lindig

et al. 2023

Solar RRL

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Daylight photoluminescence is a relatively novel imaging technique utilized in photovoltaic system inspection, using the working principle of photoluminescence with the sun as excitation source. Filtering the luminescence signal from the strong sun irradiation is its main challenge. Images acquired at two different operating points of the module, namely at open circuit and at a high current state, allow subtraction of the background radiation while maintaining the luminescence signal. A daylight photoluminescence‐ready inverter, which is able to toggle between manually selectable operating points of connected photovoltaic modules is presented in this work. Synchronization of image acquisition and operating point switching becomes particularly challenging if the camera is applied to unmanned aerial vehicles. To overcome this challenge, an algorithm is developed to identify operating point switches in a set of images taken in the field by investigating the development of image intensities. Further, by working out the detailed dependencies of the signal recorded during daylight photoluminescence, the temperature coefficient of photoluminescence intensity is derived theoretically, and its impact on quantitative inspections. The potential field application of daylight photoluminescence images to identify performance loss in photovoltaic modules is investigated by two approaches: recording the signal intensity of images over time and comparing the signal intensity of different photovoltaic modules in one image. For both approaches, their hypothetical applicability is shown experimentally.This article is protected by copyright. All rights reserved.

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Section: Semibatched Imaging With Automated Op Detectionmentioning

confidence: 99%

Large‐Scale Daylight Photoluminescence: Automated Photovoltaic Module Operating Point Detection and Performance Loss Assessment by Quantitative Signal Analysis

Koester,

Louwen,

Lindig

et al. 2023

Solar RRL

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show abstract

“…Not enough time has passed to subject those new module designs to long-term field reliability studies. Understanding the degradation rate and risk of failure of PV systems is critical to predict the levelized cost of electricity, an extremely important metric for system owners, financiers, and other stakeholders in the PV industry [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…Outdoor diagnostic methods are then required to access the real performance and reliability of the PV systems in the relevant environments. Identifying the reasons why individual elements of the PV systems are underperforming is particularly significant for new module designs that were first deployed just a few years ago [3]. This information is extremely valuable for the solar industry, providing important guidance for future cell, module, and system designs, particularly in the context of an industry which is positioning to offer 50 year module warranties [10].…”

Section: Introductionmentioning

confidence: 99%

“…Many of these techniques have the advantage of acquiring data over large areas in a reasonable short period. There is no question about the importance of these techniques, especially among PV plant owners, but they are limited to the extent of not providing quantitative information regarding the nature of each faulting mechanism [3]. To investigate the different degradation modes and their root causes, current-voltage (I-V) measurements of modules are highly desirable [15].…”

Section: Introductionmentioning

confidence: 99%

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Measuring outdoor I–V characteristics of PV modules and systems

et al. 2022

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The cumulative installed capacity of photovoltaics has passed 1 TW, of which about two-thirds were only installed in the past five years. Many of these new installations incorporate novel module and cell designs that have not yet been subjected to long-term in-field characterization. Indoor accelerated stress testing has historically been a valuable methodology to identify fault mechanisms, estimate degradation rates, and to ensure the safety and normal operation of modules in the field. Still, these methodologies deliver an incomplete image of the exact stress mechanisms that photovoltaic systems are subject to outdoors, which vary with location, time of day, and time of year. In this work we review different outdoor methods to measure current-voltage characteristics of photovoltaic systems, discuss how the environmental conditions impact those characteristics, and examine alternative methodologies for acquiring light and pseudo current-voltage characteristics more applicable to larger scale installations. This review also provides an insight into methods useful for real-time monitoring and degradation analysis at the module and string level.

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RETRACTED: An assessment of photovoltaic module degradation for life expectancy: A comprehensive review

Kumar,

Ganesan,

Saini

et al. 2024

Engineering Failure Analysis

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Outdoor Implied Current–Voltage Measurements of an Individual Encapsulated Cell in a Module

Cited by 4 publications

References 44 publications

Large‐Scale Daylight Photoluminescence: Automated Photovoltaic Module Operating Point Detection and Performance Loss Assessment by Quantitative Signal Analysis

Large‐Scale Daylight Photoluminescence: Automated Photovoltaic Module Operating Point Detection and Performance Loss Assessment by Quantitative Signal Analysis

Measuring outdoor I–V characteristics of PV modules and systems

RETRACTED: An assessment of photovoltaic module degradation for life expectancy: A comprehensive review

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