IEEE Journal of Photovoltaics最新文献_第8页

Performance Limits in Bifacial Tandem Solar Cell Modules for Multiple Configurations 多种配置的双面串联太阳能电池组件的性能限制

IF 2.6 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2025-11-03 DOI: 10.1109/JPHOTOV.2025.3616590

Anupam Yedida;Revathy Padmanabhan

{"title":"Performance Limits in Bifacial Tandem Solar Cell Modules for Multiple Configurations","authors":"Anupam Yedida;Revathy Padmanabhan","doi":"10.1109/JPHOTOV.2025.3616590","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2025.3616590","url":null,"abstract":"While bifacial tandem photovoltaic technology is promising as it is able to generate higher electrical power output by accessing illumination from both front and rear surfaces, a thorough investigation of the performance limits of bifacial tandems with different architectures/arrangements and under different conditions has not been explored. In this work, we present a comprehensive analytical framework based on the principle of detailed balance to assess the performance limits of bifacial tandems spanning multiple architectures, including unconstrained, current-matched (CM), and voltage-matched (VM) configurations. Our methodology explores the performance benefits of incorporating area-decoupled subcells across layers and examines the impact of different bandgap arrangements (monotonic and non-monotonic) on the performance. We show that having non-monotonic arrangement of bandgaps under optimal albedo conditions can significantly enhance the performance of bifacial tandems. In addition, we analyze the performance resilience of each configuration and bandgap arrangement to spectral variations induced by environmental factors such as shading, fluctuations in temperature, and albedo. This provides crucial design guidelines for the design, fabrication, and estimation of the performance limits of these solar cell architectures in different conditions.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"16 1","pages":"98-112"},"PeriodicalIF":2.6,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145802335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RTDETR-CELite: Lightweight Remote Sensing PV Defect Detection via Edge-Aware and Cross-Channel Feature Fusion rtder - celite：基于边缘感知和跨通道特征融合的轻型遥感光伏缺陷检测

IF 2.6 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2025-11-03 DOI: 10.1109/JPHOTOV.2025.3619980

Daolei Wang;Zhi Huang;Lei Peng;Peng Yan;Shaokai Zheng;Jiawen Liu;Yang Long

{"title":"RTDETR-CELite: Lightweight Remote Sensing PV Defect Detection via Edge-Aware and Cross-Channel Feature Fusion","authors":"Daolei Wang;Zhi Huang;Lei Peng;Peng Yan;Shaokai Zheng;Jiawen Liu;Yang Long","doi":"10.1109/JPHOTOV.2025.3619980","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2025.3619980","url":null,"abstract":"To address the challenges of blurred target boundaries, uneven feature distribution, and high computational cost in complex photovoltaic (PV) environments, this article proposes a lightweight uncrewed aerial vehicle (UAV)-based infrared hotspot detection model—real-time detection transformer (RTDETR)-CELite. Utilizing RTDETR-R18, the model incorporates the CSP_ELGCA_CGLU module, which integrates local-global attention and gated channel enhancement. This improves the perception of key regions while reducing computational complexity. In addition, a ConvEdgeFusion module is designed to combine shallow edge structures with multiscale semantic features. This improvement improves the model’s ability to accurately depict hot spot boundaries and their distribution areas, thereby significantly reducing false positives and false negatives. Experimental results show that RTDETR-CELite significantly reduces the model scale without affecting detection performance. Compared to the original RTDETR-R18, mAP50 improves from 82.04% to 84.06%, and mAP50:95 improves from 62.01% to 62.56%. The number of parameters decreases by 31.6% to 13.6M, computational cost drops by 17.4% to 47.1 GFLOPs, and inference speed increases to 300.5 FPS. These results indicate that RTDETR-CELite strikes an effective compromise between precision and computational efficiency, rendering it highly applicable to UAV-based or edge-device deployment for timely identification of PV hotspots, and showcasing promising potential in practical scenarios.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"16 1","pages":"160-175"},"PeriodicalIF":2.6,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145802390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computational Intelligence-Based Modeling of a UAV-Integrated PV Module in Icing Conditions 结冰条件下无人机集成光伏组件的计算智能建模

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2025-11-01 Epub Date: 2025-09-05 DOI: 10.1109/JPHOTOV.2025.3602579

MohammadHosein Saeedinia;Shamsodin Taheri;Ana-Maria Cretu

{"title":"Computational Intelligence-Based Modeling of a UAV-Integrated PV Module in Icing Conditions","authors":"MohammadHosein Saeedinia;Shamsodin Taheri;Ana-Maria Cretu","doi":"10.1109/JPHOTOV.2025.3602579","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2025.3602579","url":null,"abstract":"Solar UAVs utilize solar energy to extend flight endurance and reduce maintenance compared to traditional UAVs. However, in-flight icing presents significant challenges, impacting both aerodynamic performance and the operational reliability of UAV-integrated photovoltaic (PV) systems. Ice accumulation on wings degrades mechanical properties, while icing on PV modules obstructs sunlight, adversely affecting their parameters. Partial shading from ice is more harmful than uniform shading, complicating PV module behavior analysis. This study presents a novel approach to model the behavior of UAV-integrated PV modules incorporating the impact of nonuniform in-flight icing into irradiance calculations. By analyzing how ice formation acts as an obstacle and considering its effect on the PV module governing equations, this research develops a computational framework alongside with segmenting the PV module's operational curve into two zones: ice-covered and normal. The parameters for these zones are determined using advanced computational intelligence methods. The proposed method enables predictions of PV module performance using trained machine learning models, enhanced by the minimum redundancy maximum relevance technique, under dynamic and adverse conditions such as movement-induced sunlight variations and partial shading. The trained models’ performance is validated through experimental tests, demonstrating the reliability and effectiveness of the approach.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"15 6","pages":"849-857"},"PeriodicalIF":3.7,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148485316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast Luminescence Imaging of Multijunction Solar Cells with a Single Shot 多结太阳能电池单次快速发光成像

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2025-11-01 Epub Date: 2025-09-12 DOI: 10.1109/JPHOTOV.2025.3598318

Johannes M. Greulich;Oliver Fischer;Stefan Rein

{"title":"Fast Luminescence Imaging of Multijunction Solar Cells with a Single Shot","authors":"Johannes M. Greulich;Oliver Fischer;Stefan Rein","doi":"10.1109/JPHOTOV.2025.3598318","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2025.3598318","url":null,"abstract":"Monolithic perovskite silicon tandem solar cells reach impressively high efficiencies. However, fast and spatially resolved measurement methods for quality control are required for the industrial production. In this work, we present a novel approach for separating luminescence images of tandem and triple-junction solar cells using a color camera with a Bayer matrix to simultaneously acquire luminescence images of up to three subcells in a multijunction device. The method relies on the spectral variation of the camera's different color channels’ spectral response or quantum efficiency, enabling clear separation of the subcells’ signals. We outline the underlying mathematical equations and determine the quantum efficiency of the camera system. Through example measurements on perovskite silicon tandem solar cells, we demonstrate the effectiveness of our method compared with reference measurements. The results reveal a distinct separation of luminescence signals, highlighting differences in sharpness and contrast between the subcells. This technique not only offers a cost-effective solution for inline characterization of multijunction solar cells but is also transferable to other solar cell types. Our findings open new avenues for optimizing the performance of tandem solar cells and contribute to the successful commercialization of this technology.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"15 6","pages":"826-831"},"PeriodicalIF":3.7,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11162615","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148482107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced Photovoltaic Defect Detection Using Perceptual Loss in DCGAN and VGG16-Integrated Models on Electroluminescence Images 基于DCGAN和vgg16集成模型的电致发光图像感知损失增强光伏缺陷检测

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2025-11-01 Epub Date: 2025-03-04 DOI: 10.1109/JPHOTOV.2025.3542829

Nadia Drir;Adel Mellit;Maamar Bettayeb;Mahmoud Dhimish

{"title":"Enhanced Photovoltaic Defect Detection Using Perceptual Loss in DCGAN and VGG16-Integrated Models on Electroluminescence Images","authors":"Nadia Drir;Adel Mellit;Maamar Bettayeb;Mahmoud Dhimish","doi":"10.1109/JPHOTOV.2025.3542829","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2025.3542829","url":null,"abstract":"Defects in photovoltaic (PV) modules significantly impact their efficiency and reliability, making the accurate detection essential for quality control. This study presents an enhanced generative adversarial network framework, combining deep convolutional generative adversarial network (DCGAN) with visual geometry group 16 (VGG16) and a perceptual loss function, to generate high-quality synthetic defect images and improve defect classification. The proposed model increases classification accuracy from 84% to 90%, demonstrating superior performance over the standard DCGAN. Key improvements include generating more realistic synthetic images, reducing image quality discrepancies, and addressing class imbalances in defect datasets. The enhanced framework performs particularly well in representing rare and complex defects, improving classification outcomes for challenging patterns while maintaining diversity and realism in synthetic data. Despite some limitations in capturing fine defect details, this approach establishes a benchmark for defect detection and synthetic image generation in PV manufacturing. It also offers potential for real-time applications in industrial production lines, ensuring more efficient quality control.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"15 6","pages":"759-769"},"PeriodicalIF":3.7,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148482798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smarter PV Single Axis Tracking: A Study on Diffused Light Capture 智能光伏单轴跟踪：漫射光捕获的研究

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2025-11-01 Epub Date: 2025-08-25 DOI: 10.1109/JPHOTOV.2025.3598328

Brandon K. Byford;Daniel Riley

引用次数: 0

Dynamic Bypass Controller With Regenerative Feedback for Hot-Spot-Free PV Modules 无热点光伏组件的再生反馈动态旁路控制器

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2025-11-01 Epub Date: 2025-08-04 DOI: 10.1109/JPHOTOV.2025.3592670

Gerardo Saggese;Monica De Riso;Ilaria Matacena;Pierluigi Guerriero;Santolo Daliento

{"title":"Dynamic Bypass Controller With Regenerative Feedback for Hot-Spot-Free PV Modules","authors":"Gerardo Saggese;Monica De Riso;Ilaria Matacena;Pierluigi Guerriero;Santolo Daliento","doi":"10.1109/JPHOTOV.2025.3592670","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2025.3592670","url":null,"abstract":"In the photovoltaic (PV) sector, ensuring the optimal performance and longevity of modules is vital for maximizing return on investment. One of the critical challenges in PV systems is the occurrence of localized overheating, or hot spots, which can lead to irreversible damage, reduced efficiency, and even fire hazards. This article presents a novel approach to mitigating hot spots at the submodule level through a dual-switch configuration. Unlike traditional bypass diodes, the proposed design features a dynamic bypass and disconnection circuit that adapts to bypass events, disconnecting the affected cells and reconnecting them once the bypass condition ceases. This article details the operation of this circuit and its impact on submodule performance under various shading scenarios. Experimental tests were conducted to compare the proposed solution with a conventional submodule protected by a standard bypass diode, under the worst case scenario of a malfunctioning cell. Infrared thermography was employed to analyze the temperature distribution across the submodules. The results show that, in the submodule with the proposed circuit, the temperature of the faulty cell remains close to that of the other cells, whereas the standard bypass diode causes the shaded cell to overheat significantly. This demonstrates the potential of the proposed design in enhancing PV system reliability, preventing hot spots, and improving thermal management.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"15 6","pages":"879-885"},"PeriodicalIF":3.7,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148484691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Global Progress Toward Renewable Electricity: Tracking the Role of Solar (Version 5) 全球可再生电力进展：追踪太阳能的作用（第5版）

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2025-11-01 Epub Date: 2025-09-19 DOI: 10.1109/JPHOTOV.2025.3604876

Nancy M. Haegel;Sarah R. Kurtz

引用次数: 0

Color Engineering in CIGS Solar Cells: An Electro-Optical Modeling Perspective CIGS太阳能电池的颜色工程：电光建模视角

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2025-11-01 Epub Date: 2025-08-15 DOI: 10.1109/JPHOTOV.2025.3595377

Lorenzo Perini;Giovanna Sozzi

{"title":"Color Engineering in CIGS Solar Cells: An Electro-Optical Modeling Perspective","authors":"Lorenzo Perini;Giovanna Sozzi","doi":"10.1109/JPHOTOV.2025.3595377","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2025.3595377","url":null,"abstract":"Photovoltaic panels are typically black or dark blue, which can limit their integration into the surrounding environment. Enhancing their appearance through color modifications can promote broader adoption, particularly for building integrated applications. Optimizing the performance of colored Cu(In,Ga)Se2 (CIGS) cells requires a thorough understanding of how layer thickness influences both color hue and efficiency. We analyze colored CIGS solar cells using a self-consistent electro-optical simulation approach. Unlike previous studies that focus solely on optical properties, our approach integrates both optical and electrical modeling to provide a more accurate assessment of device performance. By accounting for light behavior, charge generation, recombination processes, and electrical transport, we analyze how variations in layer thickness influence both color and efficiency. In addition, we examine the effects of installation angle and lighting conditions on color perception and power output. This study offers deeper insights into the mechanisms governing colored CIGS solar cells, contributing to a more precise assessment of their practical implementation across different applications. A color–geometry–performance map is developed to evaluate whether the manufactured colored CIGS solar cells meet both aesthetic and performance criteria as well as to explain the observed behavior.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"15 6","pages":"807-813"},"PeriodicalIF":3.7,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148482624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental Investigations on Performance and Safety of c-Si PV Modules Installed in Hot Semiarid Climatic Conditions in India 在印度炎热的半干旱气候条件下安装c-Si光伏组件的性能和安全性的实验研究

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2025-11-01 Epub Date: 2025-09-08 DOI: 10.1109/JPHOTOV.2025.3602603

Sandeep Tiwari;Deepak Yadav;Ditipriya Bose;Manander Bangar;P.G. Nikhil;Arup Dhar;Jai Prakash Singh

{"title":"Experimental Investigations on Performance and Safety of c-Si PV Modules Installed in Hot Semiarid Climatic Conditions in India","authors":"Sandeep Tiwari;Deepak Yadav;Ditipriya Bose;Manander Bangar;P.G. Nikhil;Arup Dhar;Jai Prakash Singh","doi":"10.1109/JPHOTOV.2025.3602603","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2025.3602603","url":null,"abstract":"In this study, field testing of multicrystalline-Si photovoltaic (PV) modules was carried out in a 760-kWp grid-interactive solar PV (SPV) power plant at Manesar, Haryana. This study assesses the field-level defects and their impact on PV modules after the infant stage in a hot semiarid climatic condition, which was not reported earlier in any other works. The test methodology involved insulation resistance (wet leakage current test), visual inspection, infrared imaging, and <italic>I–V measurements in the field. The safety and performance tests were carried out for a period of 1 month, and the results were analyzed in accordance with the relevant IEC standards, i.e., IEC 62446-2:2020, IEC 61215-1-1:2021, IEC 60904-1-2020, and IEC 60891-1-2021. The results indicate that out of 125 tested PV modules, 83 (66.4%) failed in the wet leakage current test, 122 (97.6%) had hotspot issues, and all the modules exhibited visual defects, such as delamination, ingression of water, moisture and dust particles, snail trail, edge sealant degradation, corrosion of PV cell metallic contacts, visible cell cracks, and burn marks, in PV cells. For the PV modules tested, an average annual power degradation of 2.46% was observed with maximum and minimum degradation of 6.15% and 1.25% per year, respectively. The failure mode and effects analysis outcomes suggest that the maximum risk level for PV modules under investigation is edge seal degradation and delamination with the highest risk priority numbers (RPNs) (RPN = 360 and 350, respectively). The results presented in this article provide new insight on various aspects such as degradation rate and safety considerations specific to similar climatic conditions and will be beneficial for all stakeholders of SPV power plants including module manufacturers.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"15 6","pages":"840-848"},"PeriodicalIF":3.7,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148483405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0