Investigation of Degradation in Photovoltaic Modules by Infrared and Electroluminescence Imaging

Sinha, Archana; Roy, Subinoy; Kumar, Sagarika; Gupta, Rajesh

doi:10.1007/978-981-10-3908-9_1

Cited by 10 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because of the limitations of one method to better understand observed findings, often supplementary and comparative measurements are carried out. For more details IR-images are enriched with EL images [35][36][37][38] or photoluminescence [39] or for power data with IV-measurements [40]. Frequently visual RGB-images are recorded simultaneously to the IR-footage in order to prevent misinterpretations due to artifacts, e.g.…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…The delamination effect is much severer when it occurs in the borders of the modules. In this case, apart from the power losses, electrical risks to the modules may arise [93].…”

Section: Types and Causes Of Mismatch Faultsmentioning

confidence: 99%

Review of mismatch mitigation techniques for PV modules

Niazi

Yang

Séra

2019

IET Renewable Power Generation

View full text Add to dashboard Cite

The installation of photovoltaic (PV) systems is continuously increasing in both standalone and grid-connected applications. The energy conversion from solar PV modules is not very efficient, but it is clean and green, which makes it valuable. The energy output from the PV modules is highly affected by the operating conditions. Varying operating conditions may lead to faults in PV modules, e.g. the mismatch faults, which may occur due to shadows over the modules. Consequently, the entire PV system performance in terms of energy production and lifetime is degraded. To address this issue, mismatch mitigation techniques have been developed in the literature. In this context, this study provides a review of the state-of-the-art mismatch mitigation techniques, and operational principles of both passive and active techniques are briefed for better understanding. A comparison is presented among all the techniques in terms of component count, complexity, efficiency, cost, control, functional reliability, and appearance of local maximums. Selected techniques are also benchmarked through simulations. This review serves as a guide to select suitable techniques according to the corresponding requirements and applications. More importantly, it is expected to spark new ideas to develop advanced mismatch mitigation techniques.

show abstract

Decoupled effects of thermal cycle parameters on thermo-mechanical damage accumulation at fingers in crystalline silicon photovoltaic modules

Kumar

Gupta

2019

Microelectronic Engineering

View full text Add to dashboard Cite

Investigation of Degradation in Photovoltaic Modules by Infrared and Electroluminescence Imaging

Cited by 10 publications

References 4 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

Review of mismatch mitigation techniques for PV modules

Decoupled effects of thermal cycle parameters on thermo-mechanical damage accumulation at fingers in crystalline silicon photovoltaic modules

Contact Info

Product

Resources

About