IEEE Journal of Photovoltaics最新文献_第3页

Spray-Coated Silver as Backside Metal for III–V Photovoltaic Devices on GaAs and Ge Substrates 在GaAs和Ge衬底上喷涂银作为III-V光电器件背面金属

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2026-07-01 Epub Date: 2026-03-13 DOI: 10.1109/JPHOTOV.2026.3687922

Thales Borrely;Thien Truong;Theresa E. Saenz;Sarah A. Collins;Julian Wagner;Jennifer G. Selvidge;William E. McMahon;Sneh Sinha;Mitchell Smith;Melbs LeMieux;Brett Walker;Myles A. Steiner

{"title":"Spray-Coated Silver as Backside Metal for III–V Photovoltaic Devices on GaAs and Ge Substrates","authors":"Thales Borrely;Thien Truong;Theresa E. Saenz;Sarah A. Collins;Julian Wagner;Jennifer G. Selvidge;William E. McMahon;Sneh Sinha;Mitchell Smith;Melbs LeMieux;Brett Walker;Myles A. Steiner","doi":"10.1109/JPHOTOV.2026.3687922","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2026.3687922","url":null,"abstract":"The accelerated increase in demand for III–V space photovoltaics on GaAs and Ge substrates, as well as growing interests in terrestrial applications, motivate the development of cost-effective, high-throughput processing routes of these materials. Here, we assess spray-coated silver (Ag) back contact metallization as a substitute for electron-beam-evaporated metals currently used in industry. We find that the spray-coated Ag films are dense and continuous. By means of quantum efficiency, dark current–voltage, and illuminated current–voltage characterizations, we show that spray-coated GaAs and Ge solar cells perform similarly to baseline devices with electroplated Au, including under high current densities. We estimate that the thresholds for specific contact resistance below which back contacts do not significantly contribute to resistive loss are <inline-formula><tex-math>$bm{2.1times 10^{-1}Omega }cdot$</tex-math></inline-formula>cm<inline-formula><tex-math>$bm{^{2}}$</tex-math></inline-formula> for GaAs and <inline-formula><tex-math>$bm{4.7times 10^{-2}Omega }cdot$</tex-math></inline-formula>cm<inline-formula><tex-math>$bm{^{2}}$</tex-math></inline-formula> for Ge. We experimentally confirm that our spray-coated samples meet these requirements. Peel tests show that the adhesion of plain spray-coated Ag films to the back of p-type Ge substrates used in III–V solar cells is currently insufficient, whereas adhesion to p-type GaAs substrates is outstanding and requires no further optimization.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"16 4","pages":"447-452"},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148517458","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

A Physics Parameter-Guided Metalearning Framework for Temperature Prediction of Double-Sided Double-Glass TopCon Photovoltaic Modules 基于物理参数导向的双面双玻璃TopCon光伏组件温度预测元学习框架

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2026-07-01 Epub Date: 2026-04-22 DOI: 10.1109/JPHOTOV.2026.3680213

Huajian Ding;Zhongyuan Su;Jun Wang

引用次数: 0

Selective Annealing of Transparent Conductive Oxides on Silicon Heterojunction Solar Cells Enabled by UV Laser Processing 紫外光致能硅异质结太阳能电池上透明导电氧化物的选择性退火

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2026-07-01 Epub Date: 2026-03-04 DOI: 10.1109/JPHOTOV.2026.3665341

A. Münzer;M. Weittenhiller;M. Bivour;S. W. Glunz;F. Meyer

{"title":"Selective Annealing of Transparent Conductive Oxides on Silicon Heterojunction Solar Cells Enabled by UV Laser Processing","authors":"A. Münzer;M. Weittenhiller;M. Bivour;S. W. Glunz;F. Meyer","doi":"10.1109/JPHOTOV.2026.3665341","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2026.3665341","url":null,"abstract":"In this study, we investigate the influence of the wavelength on the laser annealing of transparent conductive oxides (TCO). The main goal is to confine energy deposition to the film thickness of 70 nm to 100 nm, aiming to mitigate degradation of the underlying silicon heterojunction (SHJ) solar cell surface passivation. Addressing industrialization aspects, the experiment encompasses planar and textured surfaces, three different TCOs with distinct structural and optical properties (polycrystalline Sn-doped In2O3, polycrystalline Al-doped ZnO, amorphous F-doped In2O3) and laser wavelengths ranging from 248 nm over 308 nm to 343 nm, the latter being accesible with high-throughput systems. A comparable sheet resistance (<inline-formula><tex-math>$R_{text{sh}}$</tex-math></inline-formula>) reduction is achieved for each TCO on planar substrates, despite absorptance ranging from 33% to 75% across the studied wavelength range. Specific parameters yield <inline-formula><tex-math>$R_{text{sh}}$</tex-math></inline-formula> lower than the hotplate reference, while the implied open-circuit voltage (<inline-formula><tex-math>$mathrm{i}V_{text{OC}}$</tex-math></inline-formula>) of the SHJ solar cell remains unaffected, indicating no induced recombination-active defects in the surface passivation. Although textured surfaces limit the parameter space for laser annealing, comparably low <inline-formula><tex-math>$R_{text{sh}}$</tex-math></inline-formula> values to the hotplate processes without <inline-formula><tex-math>$mathrm{i}V_{text{OC}}$</tex-math></inline-formula> reduction is achieved. Our study shows that UV ns laser annealing of TCOs on temperature-sensitive SHJ solar cells is feasible on textured surfaces and with high-throughput, low-cost laser systems, demonstrating the potential for industrial solar cell production.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"16 4","pages":"391-398"},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11421088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148517311","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

IEEE Journal of Photovoltaics Publication Information IEEE光电杂志出版信息

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2026-07-01 Epub Date: 2026-06-22 DOI: 10.1109/JPHOTOV.2026.3700438

引用次数: 0

Analyzing the Power Collection Efficiency of Solar Cells by Voltage-Dependent Luminescence Imaging 利用电压相关发光成像技术分析太阳能电池的集电效率

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2026-07-01 Epub Date: 2026-03-16 DOI: 10.1109/JPHOTOV.2026.3667882

Ernest I. Obetta;Jonathan Werner;Andreas Gerber;Vladimir Smirnov;Uwe Rau;Bart E. Pieters

引用次数: 0

Performance Evaluation of Electrical Models for Bifacial PV Modules 双面光伏组件电气模型的性能评价

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2026-07-01 Epub Date: 2026-03-11 DOI: 10.1109/JPHOTOV.2026.3686878

Sarah Djabali;Shamsodin Taheri;Ana-Maria Cretu;Edris Pouresmaeil

{"title":"Performance Evaluation of Electrical Models for Bifacial PV Modules","authors":"Sarah Djabali;Shamsodin Taheri;Ana-Maria Cretu;Edris Pouresmaeil","doi":"10.1109/JPHOTOV.2026.3686878","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2026.3686878","url":null,"abstract":"This article presents a robust and realistic evaluation of bifacial photovoltaic models. The approach mirrors standard characterization practice, enabling assessment not only of the intrinsic model accuracy but also its practical expandability under real operating conditions. The evaluation extends beyond conventional bifacial analysis and explicitly addresses rear-only performance, often neglected in the literature. The models examined are as follows: first, standard single-diode model (SDM), second, parallel-SDM, third, photocurrent-SDM, fourth, SeriesRes-SDM, and fifth, DiodeRes-SDM. Experimental measurements using Renogy RSP220DT-G1 module were conducted under different meteorological conditions, tilt angles, and surface albedo for validation. The results indicate that the DiodeRes-SDM achieves the highest bifacial accuracy [mean absolute error (MAE): 4.89%], while the SeriesRes-SDM is a comparable, simpler alternative (5.48%). Photocurrent-SDM and Parallel-SDM are most accurate for rear-only operation but perform poorly in bifacial mode. The Standard-SDM, while the simplest, introduces higher errors (7.92%). The evaluation confirms that rear operation exhibits distinct dynamics that require the development of rear-specific models. Therefore, choosing the appropriate bifacial model based on the specific application, bifacial yield prediction, system design, or installation condition optimization, is crucial for optimizing both modeling accuracy and computational efficiency.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"16 4","pages":"483-493"},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519012","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

IEEE Journal of Photovoltaics Information for Authors IEEE光电期刊，作者信息

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2026-07-01 Epub Date: 2026-06-22 DOI: 10.1109/JPHOTOV.2026.3700436

引用次数: 0

Design and Development of a Portable I–V Tracer for Perovskite Solar Cells 便携式钙钛矿太阳能电池I-V示踪剂的设计与研制

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2026-07-01 Epub Date: 2026-04-23 DOI: 10.1109/JPHOTOV.2026.3680141

Navid Tavakoli;Asfaw Negash;Rohan Khamkar;Michael Saliba

{"title":"Design and Development of a Portable I–V Tracer for Perovskite Solar Cells","authors":"Navid Tavakoli;Asfaw Negash;Rohan Khamkar;Michael Saliba","doi":"10.1109/JPHOTOV.2026.3680141","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2026.3680141","url":null,"abstract":"Among emerging materials, perovskite solar cells (PSCs) have attracted significant interest due to their high efficiency in laboratory settings. However, their performance under real outdoor environments remains insufficiently explored, largely because of the limited availability of perovskite module technology and the bulky, complex, and costly nature of conventional characterization equipment. This study presents a compact, cost-effective <italic>I–<italic>V tracer designed for both indoor and outdoor PSCs characterization. The device offers accuracy comparable to laboratory instruments, enabling comprehensive performance evaluation. It extracts key parameters from <italic>I–<italic>V curves, including open-circuit voltage (<italic>VOC), short-circuit current (<italic>ISC), maximum power point voltage (<italic>VMPP), maximum power point current (<italic>IMPP), fill factor (FF), and the power conversion efficiency (PCE), supporting sweeps from <italic>VOC to <italic>ISC and vice versa. It accommodates <italic>VOC up to 3 V and <italic>ISC up to 60 mA. Additionally, the system integrates environmental sensors to monitor solar irradiance (<italic>G), cell temperature (<italic>TPV), ambient temperature (<italic>TA), and humidity (<italic>HA), facilitating precise outdoor performance analysis. Experimental validation confirms its accuracy and reliability across various conditions, bridging the gap between laboratory testing and real-world PSCs assessment.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"16 4","pages":"572-582"},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443087","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

Deep Learning Multihorizon Irradiance Nowcasting: A Comparative Evaluation of Three Methods for Leveraging Sky Images 深度学习多视界辐照度临近投射：利用天空图像的三种方法的比较评估

IF 3.7 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2026-07-01 Epub Date: 2026-04-07 DOI: 10.1109/JPHOTOV.2026.3675751

Erling W. Eriksen;Magnus M. Nygård;Niklas Erdmann;Heine N. Riise

{"title":"Deep Learning Multihorizon Irradiance Nowcasting: A Comparative Evaluation of Three Methods for Leveraging Sky Images","authors":"Erling W. Eriksen;Magnus M. Nygård;Niklas Erdmann;Heine N. Riise","doi":"10.1109/JPHOTOV.2026.3675751","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2026.3675751","url":null,"abstract":"In this article, we investigate three distinct methods of incorporating all-sky imager (ASI) images into deep learning (DL) irradiance nowcasting. The first method relies on a convolutional neural network (CNN) to extract features directly from raw RGB images. The second method uses state-of-the-art algorithms to engineer 2-D feature maps informed by domain knowledge, e.g., cloud segmentation, the cloud motion vector, solar position, and cloud base height. These feature maps are then passed to a CNN to extract compound features. The final method relies on aggregating the engineered 2-D feature maps into time-series input. Each of the three methods was then used as part of a DL model trained on a high-frequency 29-day dataset to generate multihorizon forecasts of global horizontal irradiance up to 15 min ahead. The models were then evaluated using root-mean-squared error and skill score on seven selected days of data. Aggregated engineered ASI features as model input yielded superior forecasting performance, demonstrating that the integration of ASI images into DL nowcasting models is possible without complex spatially ordered DL architectures and inputs, underscoring opportunities for alternative image processing methods as well as the potential for improved spatial DL feature processing methods.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"16 4","pages":"594-604"},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443161","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

Summary of the 13th Workshop on Metallization and Interconnection of Solar Cells 第十三届太阳能电池金属化与互连研讨会综述

IF 2.6 3区工程技术

IEEE Journal of Photovoltaics Pub Date : 2026-03-01 Epub Date: 2026-06-03 DOI: 10.1109/JPHOTOV.2026.3688986

Eszter Voroshazi;Guy Beaucarne;Jan Lossen;Bernd Stannowski

引用次数: 0