Hot Spot Analysis of Photovoltaic Module under Partial Shading Conditions by Using IR-Imaging Technology

Numan, Ali H.; Hussein, Hashim A.; Dawood, Zahraa S.

doi:10.30684/etj.v39i9.841

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…soiling and dust [31], shading by stationary or changing/moving objects e.g. vegetation [30,32], chimneys, high voltage lines [33], poles, partial shading [32].…”

Section: Failure Modes In Ir-imagingmentioning

confidence: 99%

Infrared imaging of photovoltaic modules: a review of the state of the art and future challenges facing gigawatt photovoltaic power stations

Buerhop‐Lutz

Bommes

Schlipf³

et al. 2022

Prog. Energy

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Thermography is a frequently used and appreciated method to detect underperforming PV modules in PV power stations. With the review, we give insights on two aspects: 1) are the developed measurement strategies highly efficient (about 1 module per second) to derive timely answers from the images for operators of multi-MWp power stations, and 2) do PV stakeholders get answers on the relevance of thermal anomalies for further decisions. Following these questions, the influence of measurement conditions, image and data collection, image evaluation as well as image assessment are discussed. From the literature it is clear that automated image acquisition with manned and unmanned aircrafts allow to capture more than 1 module per second. This makes it possible to achieve almost identical measurement conditions for the modules; however, it is documented to what extent the increase in speed is achieved at the expense of image resolution. Many image processing tools based on machine learning have been developed and show the potential for analysis of IR images and defect classification. There are different approaches to evaluating IR anomalies in terms of impact on performance, yield or degradation, of individual modules or modules in a string configuration. It is clear that the problem is very complex and multi-layered. On the one hand, information on the electrical interconnection is necessary, and on the other hand, there is a lack of sufficient and suitable data sets to adapt existing computer vision tools to PV. This is where we see the greatest need for action and further development to increase the expressiveness of IR images for PV stakeholder. We conclude with recommendations to improve the outcome of IR-images and encourage the generation of suitable public data sets of IR-footage for the development of machine learning tools.

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“…soiling and dust [31], shading by stationary or changing/moving objects e.g. vegetation [30,32], chimneys, high voltage lines [33], poles, partial shading [32].…”

Section: Failure Modes In Ir-imagingmentioning

confidence: 99%

Infrared imaging of photovoltaic modules: a review of the state of the art and future challenges facing gigawatt photovoltaic power stations

Buerhop‐Lutz

Bommes

Schlipf³

et al. 2022

Prog. Energy

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“…A shaded cell under hot-spot conditions operating at reverse bias is dissipating power instead of delivering power. It was reported that if the string working current is higher than the short-circuit current of the shaded cell, the terminal voltage of the shaded cell becomes reversely biased [5][6][7][8]. The shaded cell works as a load to dissipate power instead of delivering it and, therefore, operates at abnormally high temperatures [9,10].…”

Section: Introductionmentioning

confidence: 99%

Relationship between module performance and the shading area for modules with different circuit connection mode

Zhang¹,

Shen²,

Li³

2022

Semicond. Sci. Technol.

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Partial shading is very common in photovoltaic (PV) systems. The mismatch losses and hot-spot effects caused by partial shading can not only affect the output power of a solar system, but also can bring security and reliability problems. This paper centers on the silicon crystalline PV module technology subjected to operating conditions with some cells partially or fully shaded. A comparison of the electrical and hot-pot performance results for four different connection mode PV modules without shading and with partial or full shading is presented. Bypass diode of different modules would start up in the different conditions with increasing shading area. We found that the regular half-cell module degraded about 60% than its non-shaded power, which is about 30% less than the other three modules, when the short edges of these modules were shaded. The highest hot-spot temperature of the regular half-cell module was 75.5C, which is the lowest among the four modules before diode started up.

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Analysis of Photovoltaic Module Degradation: An Experimental Investigation on the Correlation Between Partial Shading, Hot Spots, and EVA Discoloration

Islam,

Jadin,

Al Mansur

et al. 2024

Lecture Notes in Electrical Engineering

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Hot Spot Analysis of Photovoltaic Module under Partial Shading Conditions by Using IR-Imaging Technology

Cited by 4 publications

References 10 publications

Infrared imaging of photovoltaic modules: a review of the state of the art and future challenges facing gigawatt photovoltaic power stations

Infrared imaging of photovoltaic modules: a review of the state of the art and future challenges facing gigawatt photovoltaic power stations

Relationship between module performance and the shading area for modules with different circuit connection mode

Analysis of Photovoltaic Module Degradation: An Experimental Investigation on the Correlation Between Partial Shading, Hot Spots, and EVA Discoloration

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