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Energies
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Recent Advances in Maintenance and Reliability of Solar Cell Technology
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Recent Advances in Maintenance and Reliability of Solar Cell Technology

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A2: Solar Energy and Photovoltaic Systems".

Deadline for manuscript submissions: closed (10 August 2023) | Viewed by 2637

Special Issue Editor

Dr. Changwoon Han

E-Mail Website
Guest Editor
Mechanical Engineering Department, The State University of New York, Korea, 22382 Incheon, Republic of Korea
Interests: physics-of-failure-based accelerated life tests; prognostics; health monitoring; design-for-reliability; interconnection durability; photomechanics

Special Issue Information

Dear Colleagues,

The Energies journal is pleased to invite you to submit research and/or review papers to a Special Issue on “Recent Advances in the Maintenance and Reliability of Solar Cell Technology”. The solar system is a form of renewable energy technology and one of the promising eco-friendly options for generating electricity for several purposes in residential, commercial, agricultural, telecommunication, manufacturing premises, etc.

The aim of this Special Issue is to present new research findings and state-of-the-art reviews of valuable contributions in the aspect of solar modules reliability, solar systems maintenance, solar cell modeling, solar modules and systems modelling, photovoltaic systems reliability analysis, solar cell prognostics and diagnostics, grid-integrated solar photovoltaic analysis, built-in photovoltaic system design and analysis, shading/degradation/soiling analysis in solar module, the optimization of photovoltaic systems, power converters for photovoltaic applications, and control techniques for photovoltaics.

The Special Issue will address current issues in the maintenance and reliability of photovoltaic systems. This issue can help deepen our understanding of the maintenance and reliability of solar systems.

We look forward to receiving your contributions.

Dr. Changwoon Han
Guest Editor

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. Energies is an international peer-reviewed open access semimonthly 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

  • maintenance
  • reliability
  • module optimization
  • power warranty
  • BIPV
  • stress analysis
  • thermal analysis
  • accelerated life test

Published Papers (2 papers)

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Research

13 pages, 4984 KiB  
Article
A CNN-Architecture-Based Photovoltaic Cell Fault Classification Method Using Thermographic Images
by Chiwu Bu, Tao Liu, Tao Wang, Hai Zhang and Stefano Sfarra
Energies 2023, 16(9), 3749; https://doi.org/10.3390/en16093749 - 27 Apr 2023
Cited by 1 | Viewed by 1412
Abstract
Photovoltaic (PV) cells are a major part of solar power stations, and the inevitable faults of a cell affect its work efficiency and the safety of the power station. During manufacturing and service, it is necessary to carry out fault detection and classification. [...] Read more.
Photovoltaic (PV) cells are a major part of solar power stations, and the inevitable faults of a cell affect its work efficiency and the safety of the power station. During manufacturing and service, it is necessary to carry out fault detection and classification. A convolutional-neural-network (CNN)-architecture-based PV cell fault classification method is proposed and trained on an infrared image data set. In order to overcome the problem of the original dataset’s scarcity, an offline data augmentation method is adopted to improve the generalization ability of the network. During the experiment, the effectiveness of the proposed model is evaluated by quantifying the obtained results with four deep learning models through evaluation indicators. The fault classification accuracy of the CNN model proposed here has been drawn by the experiment and reaches 97.42%, and it is superior to that of the models of AlexNet, VGG 16, ResNet 18 and existing models. In addition, the proposed model has faster calculation, prediction speed and the highest accuracy. This method can well-identify and classify PV cell faults and has high application potential in automatic fault identification and classification. Full article
(This article belongs to the Special Issue Recent Advances in Maintenance and Reliability of Solar Cell Technology)
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17 pages, 16935 KiB  
Article
Simulation of Series Resistance Increase through Solder Layer Cracking in Si Solar Cells under Thermal Cycling
by Changwoon Han
Energies 2023, 16(6), 2524; https://doi.org/10.3390/en16062524 - 07 Mar 2023
Cited by 2 | Viewed by 947
Abstract
In solar cell modules, thermal cycling stresses can cause cracking in the ribbon wire, leading to an increase in series resistance and a drop in the power output of the module. Quantitative analysis was conducted to study the increase in series resistance, considering [...] Read more.
In solar cell modules, thermal cycling stresses can cause cracking in the ribbon wire, leading to an increase in series resistance and a drop in the power output of the module. Quantitative analysis was conducted to study the increase in series resistance, considering two cracking models: continuous and random. In the continuous model, it was expected that if all the ribbon wires on the front side of the module cracked, the current would decrease linearly from 0 to 100%, and the series resistance would increase exponentially to infinity. In the random crack model, the current dropped slowly, and the series resistance increased less compared with that in the continuous one. A mathematical model based on the bypass mechanism of the currents was proposed to explain the differences between the two models. The study found that cracking in the solder layer under thermal cycling can be described by a combination of continuous and random models, which can represent the upper and lower levels of the series resistance increase. When the solar cell power dropped to 80%, the increase in series resistance was expected to be in the range of 200 to 250% using the continuous and random models, respectively. Full article
(This article belongs to the Special Issue Recent Advances in Maintenance and Reliability of Solar Cell Technology)
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