Results 11 to 20 of about 1,595 (209)
Optimized YOLO based model for photovoltaic defect detection in electroluminescence images [PDF]
Scientific ReportsEnsuring the reliability of photovoltaic (PV) systems requires efficient defect detection to maintain optimal energy production. Deep learning-based object detection models have demonstrated remarkable performance in automating this process.
Achit Mohamed +7 more
doaj +2 more sources
Photoluminescence and electroluminescence imaging of perovskite solar cells
Progress in Photovoltaics: Research and Applications, 2015 AbstractFast camera‐based luminescence‐imaging measurements on perovskite solar cells are presented. The fundamental correlation between the luminescence intensity and the open circuit voltage predicted by the generalised Planck law is confirmed, enabling various quantitative methods for the detection of efficiency‐limiting defects to be applied to ...
Mattias Klaus Juhl +2 more
exaly +3 more sources
Segmentation of photovoltaic module cells in uncalibrated electroluminescence images [PDF]
Machine Vision and Applications, 2021 AbstractHigh resolution electroluminescence (EL) images captured in the infrared spectrum allow to visually and non-destructively inspect the quality of photovoltaic (PV) modules. Currently, however, such a visual inspection requires trained experts to discern different kinds of defects, which is time-consuming and expensive.
Sergiu Deitsch +6 more
openaire +5 more sources
Applied Sciences, 2023 Electroluminescence is a defect detection method commonly used in photovoltaic industry. However, the current research mainly focuses on qualitative analysis rather quantitative evaluation, since there exists some shortcomings, such as fuzzy edges ...
Yanfu Zhang +5 more
doaj +1 more source
Evaluating the effects of photovoltaic module heating during electroluminescence inspection
EPJ Photovoltaics, 2023 The application of electroluminescence imaging of photovoltaic modules increased in the last years, due to the reliable and detailed identification of degradation and failures.
Koester Lukas +4 more
doaj +1 more source
International Journal of Electrochemical Science, 2021 In this study, a new selective emitter (SE) technology was used in the mass production line for monocrystalline silicon PERC cells. The internal quantum efficiency and series resistance scanning of the SE cells in the early stage of upgrading was ...
Zhan Wang, Fuyang Chen
doaj +1 more source
Maximum power estimation through injection dependent electroluminescence imaging
Energy Science & Engineering, 2021 The mathematical models applied to photovoltaic (PV) modules are typically oversimplified. In general, the models applied to individual PV cells are modified to obtain the “cell” voltage by dividing the module voltage by number of cells in the module ...
Ross Michael Dix‐Peek +2 more
doaj +1 more source
Photonics, 2023 The potential-induced degradation (PID) of photovoltaic (PV) modules is one of the most extreme types of degradation in PV modules, where PID-affected modules can result in an almost 25% power reduction. Understanding how module defects impact PID is key
Mahmoud Dhimish, Ghadeer Badran
doaj +1 more source
Image Processing for Daylight Electroluminescence PV Imaging Acquired in Movement [PDF]
, 2018 35th European Photovoltaic Solar Energy Conference and Exhibition; 2005 ...
Benatto, Gisele Alves dos Reis +10 more
openaire +3 more sources
Image Preprocessing for Outdoor Luminescence Inspection of Large Photovoltaic Parks
Energies, 2021 Electroluminescence (EL) measurements allow one to detect damages and/or defective parts in photovoltaic systems. In principle, it seems possible to predict the complete current/voltage curve from such pictures even automatically. However, such a precise
Pascal Kölblin +2 more
doaj +1 more source