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Crystals
Special Issues
Recent Advances in Silicon Solar Cells
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Special Issue "Recent Advances in Silicon Solar Cells"

A special issue of Crystals (ISSN 2073-4352). This special issue belongs to the section "Materials for Energy Applications".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 1755

Special Issue Editors

Dr. Peng Song

E-Mail Website
Guest Editor
1. School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
2. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China
Interests: silicon solar cell; electronic properties; electrical performance; photocarrier radiometry; photoluminescence; lock-in thermography
Prof. Dr. Junyan Liu

E-Mail Website
Guest Editor
School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: photothermal science and detection; additive manufacturing; green manufacturing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

To meet the global carbon peak and neutrality goals, there is high demand for green energy all over the world. Over recent decades, photovoltaic devices have shown a big potential to obtain electric power from solar irradiation when compared with other sources. Currently, photovoltaic silicon-based technologies are the most used around the world. In particular, the new presence of novel concepts of silicon solar cells such as HJT and TOPcon solar cells with high efficiency enhances this status.

To continually improve the efficiency and stability of silicon solar cells, new methods of designing, manufacturing processes, and inspection methodologies for silicon solar cells are involved. Furthermore, the rapid development of machine learning promotes the detection efficiency and accuracy of defects from silicon-based wafers to cell fabrication and photovoltaic modules based on state-of-the-art imaging tools such as electroluminescence imaging, photoluminescence imaging, lock-in thermography, etc.

The proposed Special Issue covers many of the topics mentioned above. The primary aim of this Special Issue is to provide newly developed advanced progress in the field of silicon solar cells.

It is our pleasure to invite you to submit your original research papers, as well as review papers, within the scope of this Special Issue.

Dr. Peng Song
Prof. Dr. Junyan Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Crystals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • silicon solar cell
  • theoretical models
  • electronic properties
  • electrical performance
  • local performance evaluation methodology
  • photocarrier radiometry
  • lock-in carrierography/ photoluminescence
  • electroluminescence imaging
  • lock-in thermography
  • automatic defect detection and classification
  • reliability diagnosis
  • machine learning

Published Papers (2 papers)

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Article
A Definition Rule for Defect Classification and Grading of Solar Cells Photoluminescence Feature Images and Estimation of CNN-Based Automatic Defect Detection Method
by
Mingyu Gao
,
Yunji Xie
,
Peng Song
,
Jiahong Qian
,
Xiaogang Sun
and
Junyan Liu
Crystals 2023, 13(5), 819; https://doi.org/10.3390/cryst13050819 - 15 May 2023
Viewed by 603
Abstract
A nondestructive detection method that combines convolutional neural network (CNN) and photoluminescence (PL) imaging was proposed for the multi-classification and multi-grading of defects during the fabrication process of silicon solar cells. In this paper, the PL was applied to collect the images of [...] Read more.
A nondestructive detection method that combines convolutional neural network (CNN) and photoluminescence (PL) imaging was proposed for the multi-classification and multi-grading of defects during the fabrication process of silicon solar cells. In this paper, the PL was applied to collect the images of the defects of solar cells, and an image pre-processing method was introduced for enhancing the features of the defect images. Simultaneously, the defects were defined by 13 categories and three divided grades of each under the definition rules of defects that were proposed in accordance with distribution and characteristics of each defect category, and expand data were processed by various data augmentation. The model was therefore improved and optimized based on the YOLOv5 as the feature extractor and classifier. The capability of the model on distinguishing categories and grades of solar cell defects was improved via parameter tuning and image pre-processing. Through experimental analysis, the optimal combination of hyperparameters and the actual effect of data sample pre-processing on the training results of the neural network were determined. Conclusively, the reasons for the poor recognition results of the small target defects and complex feature defects by the current model were found and further work was confirmed under the foundation of the differences in recognition results between different categories and grades. Full article
(This article belongs to the Special Issue Recent Advances in Silicon Solar Cells)
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Article
Generation of Oxygen-Related Defects in Crystal Silicon Processed by the RPD
by
Tomohiko Hara
,
Iori Oura
,
Takuma Matsuzuki
and
Yoshio Ohshita
Crystals 2023, 13(2), 310; https://doi.org/10.3390/cryst13020310 - 13 Feb 2023
Viewed by 705
Abstract
Suppression of the formation of crystal defects is essential for the realization of high-efficiency solar cells. The reactive plasma deposition (RPD) process introduces defects in the silicon crystal bulk and at the passivation layer/silicon crystal interface. This study suggests that oxygen impurities can [...] Read more.
Suppression of the formation of crystal defects is essential for the realization of high-efficiency solar cells. The reactive plasma deposition (RPD) process introduces defects in the silicon crystal bulk and at the passivation layer/silicon crystal interface. This study suggests that oxygen impurities can affect the generation of RPD-induced defects. Although the RPD deposition conditions were the same, the number of RPD-induced recombination centers in Cz-Si was larger than that in the Fz wafer. The increase in 950 °C pre-annealing resulted in increased peak intensity corresponding to defect level E1 in the Cz-Si MOS sample. In the case of Fz-Si, the increase in intensity with increasing pre-annealing time was slight. This indicates that oxygen precipitation might be related to the structure of RPD-induced defects. Full article
(This article belongs to the Special Issue Recent Advances in Silicon Solar Cells)
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