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Photovoltaics Literature Survey (No. 197)
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2025-02-10 DOI: 10.1002/pip.3887
Ziv Hameiri
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引用次数: 0
Photovoltaics Literature Survey (No. 196)
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2025-01-15 DOI: 10.1002/pip.3886
Ziv Hameiri
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引用次数: 0
PHOTOVOLTAICS LITERATURE SURVEY (No. 195) 光伏文献综述(第195期)
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-12-19 DOI: 10.1002/pip.3874
Ziv Hameiri
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引用次数: 0
Nonuniformity of Irradiation Distribution on Vehicles' Bodies
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-12-12 DOI: 10.1002/pip.3876
Evgenii Sovetkin, Michael Gordon, Neel Patel, Andreas Gerber, Angèle Reinders, Robby Peibst, Bart E. Pieters

Nonuniformity of irradiation in photovoltaic (PV) modules causes a current mismatch in the cells, which leads to energy losses. In the context of vehicle-integrated PV (VIPV), the nonuniformity is typically studied for the self-shading effect caused by the curvature of modules. This study uncovers the impact of topography on the distribution of sunlight on vehicle surfaces, focusing on two distinct scenarios: the flat-surface cargo area of a small delivery truck and the entire body of a commercial passenger vehicle. We employ a commuter pattern driving profile in Germany and a broader analysis incorporating random sampling of various road types and locations across 17,000 km2 in Europe and 59,000 km2 in the United States using LIDAR-derived topography and OpenStreetMap data. Our findings quantify irradiation inhomogeneity patterns shaped by the geographic landscape, road configurations, urban planning, and vegetation. The research identifies topography as the primary factor affecting irradiation distribution uniformity, with the vehicle's surface orientation and curvature serving as secondary influencers. The most significant variation occurs on vertical surfaces of the vehicle in residential areas, with the lower parts receiving up to 35% less irradiation than the top part of the car. These insights may be used to improve the design and efficiency of vehicle-integrated photovoltaic systems, optimizing energy capture in diverse environmental conditions.

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引用次数: 0
Synergistic Effect of Ag, Sb Dual-Cation Substitution on Cu2ZnSn (S, Se)4 High-Efficiency Solar Cells
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-12-02 DOI: 10.1002/pip.3875
Tianyue Wang, Yingrui Sui, Chang Miao, Yue Cui, Zhanwu Wang, Lili Yang, Fengyou Wang, Xiaoyan Liu, Bin Yao

The poor crystal quality inside an absorber layer and the presence of various harmful defects are the main obstacles restricting the properties of Cu2ZnSn (S, Se)4 (CZTSSe) thin-film solar cells. Cation doping has attracted considerable research attention as a viable strategy to overcome this challenge. In this paper, based on Sb-substituted CZTSSe system, we prove that Ag partially substituting Cu may be a feasible strategy. After a series of characterization of the films, it was discovered that the crystal quality and crystallinity of the films were further improved by introducing Ag into Cu2Zn(Sb, Sn) (S, Se)4 (CZTSSSe), and the concentrations of CuZn accepter defects and 2[CuZn + SnZn] defect clusters were effectively inhibited. At the same time, the carrier concentration is increased. The results show that when the Ag doping ratio is 15%, the photovoltaic conversion efficiency (PCE) reaches 8.34%, compared with the single-doped Sb element, the efficiency is increased by 24%. For the first time, this study investigates the collaborative effect of Sb, Ag dual-cation substitution in CZTSSe. The solar cell performance enhancement mechanism offers new potential for the advancement of CZTSSe thin-film solar cell technology in the future.

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引用次数: 0
Effect of Iron Contamination and Polysilicon Gettering on the Performance of Polysilicon-Based Passivating Contact Solar Cells
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-11-26 DOI: 10.1002/pip.3873
Zhongshu Yang, Rabin Basnet, Chris Samundsett, Sieu Pheng Phang, Thien Truong, Di Kang, Wensheng Liang, Anh Dinh Bui, Wei Wang, Tien T. Le, Daniel Macdonald, AnYao Liu

Over the past decade, silicon solar cells with carrier-selective passivating contacts based on polysilicon capping an ultra-thin silicon oxide (commonly known as TOPCon or POLO) have demonstrated promising efficiency potentials and are regarded as an evolutionary upgrade to the PERC (passivated emitter and rear contact) cells in manufacturing. The polysilicon-based passivating contacts also exhibit excellent gettering effects that relax the wafer and cleanroom requirements to some extent. In this work, we experimentally explore the impact of bulk iron contamination and polysilicon gettering on the passivation quality of the polysilicon/oxide structure and the resulting solar cells performance. Results show that both n- and p-type polysilicon/oxide passivating contacts are not affected by iron gettering, demonstrating robust and stable passivation quality. However, for a very high bulk iron contamination (1 × 1013 cm−3), the accumulated iron in the p-type lightly boron-doped emitter in crystalline silicon would degrade the emitter saturation current density. This can cause a reduction in both open-circuit voltage and short-circuit current. Meanwhile, this very high iron content (1 × 1013 cm−3) can further degrade the fill factor and temperature coefficient of the cells. On the other hand, for an initial iron content of 2 × 1012 cm−3, which should be well above the iron level in the current industrial Czochralski silicon wafers, the resulting cells demonstrate similar performance as the control group with no intentional iron contamination. This work brings attention to both the benefits of polysilicon gettering effects as well as the potential degradation due to the accumulation of metal impurities in the p-type emitter region.

{"title":"Effect of Iron Contamination and Polysilicon Gettering on the Performance of Polysilicon-Based Passivating Contact Solar Cells","authors":"Zhongshu Yang,&nbsp;Rabin Basnet,&nbsp;Chris Samundsett,&nbsp;Sieu Pheng Phang,&nbsp;Thien Truong,&nbsp;Di Kang,&nbsp;Wensheng Liang,&nbsp;Anh Dinh Bui,&nbsp;Wei Wang,&nbsp;Tien T. Le,&nbsp;Daniel Macdonald,&nbsp;AnYao Liu","doi":"10.1002/pip.3873","DOIUrl":"https://doi.org/10.1002/pip.3873","url":null,"abstract":"<div>\u0000 \u0000 <p>Over the past decade, silicon solar cells with carrier-selective passivating contacts based on polysilicon capping an ultra-thin silicon oxide (commonly known as TOPCon or POLO) have demonstrated promising efficiency potentials and are regarded as an evolutionary upgrade to the PERC (passivated emitter and rear contact) cells in manufacturing. The polysilicon-based passivating contacts also exhibit excellent gettering effects that relax the wafer and cleanroom requirements to some extent. In this work, we experimentally explore the impact of bulk iron contamination and polysilicon gettering on the passivation quality of the polysilicon/oxide structure and the resulting solar cells performance. Results show that both <i>n-</i> and <i>p-</i>type polysilicon/oxide passivating contacts are not affected by iron gettering, demonstrating robust and stable passivation quality. However, for a very high bulk iron contamination (1 × 10<sup>13</sup> cm<sup>−3</sup>), the accumulated iron in the <i>p</i>-type lightly boron-doped emitter in crystalline silicon would degrade the emitter saturation current density. This can cause a reduction in both open-circuit voltage and short-circuit current. Meanwhile, this very high iron content (1 × 10<sup>13</sup> cm<sup>−3</sup>) can further degrade the fill factor and temperature coefficient of the cells. On the other hand, for an initial iron content of 2 × 10<sup>12</sup> cm<sup>−3</sup>, which should be well above the iron level in the current industrial Czochralski silicon wafers, the resulting cells demonstrate similar performance as the control group with no intentional iron contamination. This work brings attention to both the benefits of polysilicon gettering effects as well as the potential degradation due to the accumulation of metal impurities in the <i>p</i>-type emitter region.</p>\u0000 </div>","PeriodicalId":223,"journal":{"name":"Progress in Photovoltaics","volume":"33 3","pages":"463-476"},"PeriodicalIF":8.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143381034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Solar Cell Efficiency Tables (Version 65) 太阳能电池效率表(65版)
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-11-19 DOI: 10.1002/pip.3867
Martin A. Green, Ewan D. Dunlop, Masahiro Yoshita, Nikos Kopidakis, Karsten Bothe, Gerald Siefer, Xiaojing Hao, Jessica Yajie Jiang

Consolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined, and new entries since July 2024 are reviewed.

综合表格广泛列出了经独立确认的太阳能电池和组件的最高效率。概述了将结果纳入这些表格的准则,并回顾了自 2024 年 7 月以来的新条目。
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引用次数: 0
Photovoltaics Literature Survey (No. 194) 光伏文献调查(第 194 号)
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-11-11 DOI: 10.1002/pip.3857
Ziv Hameiri
<p>In order to help readers stay up-to-date in the field, each issue of <i>Progress in Photovoltaics</i> will contain a list of recently published journal articles that are most relevant to its aims and scope. This list is drawn from an extremely wide range of journals, including <i>IEEE Journal of Photovoltaics</i>, <i>Solar Energy Materials and Solar Cells</i>, <i>Renewable Energy</i>, <i>Renewable and Sustainable Energy Reviews</i>, <i>Journal of Applied Physics</i>, and <i>Applied Physics Letters</i>. To assist readers, the list is separated into broad categories, but please note that these classifications are by no means strict. Also note that inclusion in the list is not an endorsement of a paper's quality. If you have any suggestions please email Ziv Hameiri at <span>[email protected]</span>.</p><p>Wang B, Chen Q, Wang MM, et al. <b>PVF-10: A high-resolution unmanned aerial vehicle thermal infrared image dataset for fine-grained photovoltaic fault classification.</b> <i>Applied Energy</i> 2024; <b>376</b>: 124187.</p><p>Ozturk E, Ogliari E, Sakwa M, et al. <b>Photovoltaic modules fault detection, power output, and parameter estimation: A deep learning approach based on electroluminescence images.</b> <i>Energy Conversion and Management</i> 2024; <b>319</b>: 118866.</p><p>Almora O, Lopez-Varo P, Escalante R, et al. <b>Instability analysis of perovskite solar cells via short-circuit impedance spectroscopy: A case study on NiO</b><sub><b>x</b></sub> <b>passivation.</b> <i>Journal of Applied Physics</i> 2024; <b>136</b>(9): 094502.</p><p>El Khoury M, Moret M, Tiberj A, et al. <b>Determination of light-independent shunt resistance in CIGS photovoltaic cells using a collection function-based model.</b> <i>Journal of Applied Physics</i> 2024; <b>136</b>(2): 024502.</p><p>Li JC, Ji Q, Wang R, et al. <b>Charge generation dynamics in organic photovoltaic blends under one-sun-equivalent illumination detected by highly sensitive terahertz spectroscopy.</b> <i>Journal of the American Chemical Society</i> 2024; <b>146</b>(29): 20312-20322.</p><p>Sandner D, Sun K, Stadlbauer A, et al. <b>Hole localization in bulk and 2D lead-halide perovskites studied by time-resolved infrared spectroscopy.</b> <i>Journal of the American Chemical Society</i> 2024; <b>146</b>(29): 19852-19862.</p><p>Li Y, Wright B, Hameiri Z. <b>Deep learning-based perspective distortion correction for outdoor photovoltaic module images.</b> <i>Solar Energy Materials and Solar Cells</i> 2024; <b>277</b>: 113107.</p><p>Wang S, Wright B, Zhu Y, et al. <b>Extracting the parameters of two-energy-level defects in silicon wafers using machine learning models.</b> <i>Solar Energy Materials and Solar Cells</i> 2024; <b>277</b>: 113123.</p><p>Zhou YN, Zhang HH, Li ZF, et al. <b>Heavy boron-doped silicon tunneling inter-layer enables efficient silicon heterojunction solar cells.</b> <i>Acs Applied Materials and Interfaces</i> 2024; <b>16</b>(35): 46889-46896.</p><p>Li WK, Zhou R, Wang YK, et al. <b
为了帮助读者了解该领域的最新进展,每期《光伏进展》都会列出一份最近发表的与其目标和范围最相关的期刊文章清单。这份清单选自极为广泛的期刊,包括《IEEE 光伏学报》、《太阳能材料和太阳能电池》、《可再生能源》、《可再生和可持续能源评论》、《应用物理学报》和《应用物理快报》。为了帮助读者,本列表分为几大类,但请注意,这些分类并不严格。同时请注意,列入列表并不代表对论文质量的认可。Wang B, Chen Q, Wang MM, et al. PVF-10: A high-resolution unmanned aerial vehicle thermal infrared image dataset for fine-grained photovoltaic fault classification.Ozturk E, Ogliari E, Sakwa M, et al. Photovoltaic modules fault detection, power output, and parameter estimation:基于电致发光图像的深度学习方法。Almora O, Lopez-Varo P, Escalante R, et al:镍氧化物钝化案例研究。应用物理学杂志》,2024 年,136(9):094502.El Khoury M, Moret M, Tiberj A, et al.应用物理学杂志》,2024 年,136(2):024502.Li JC, Ji Q, Wang R, et al.Sandner D, Sun K, Stadlbauer A, et al.美国化学学会学报》,2024 年;146(29):19852-19862.Li Y, Wright B, Hameiri Z.基于深度学习的室外光伏组件图像透视畸变校正太阳能材料与太阳能电池 2024; 277:Wang S, Wright B, Zhu Y, et al.太阳能材料与太阳能电池 2024; 277:Zhou YN, Zhang HH, Li ZF, et al.Acs Applied Materials and Interfaces 2024; 16(35):Li WK, Zhou R, Wang YK, et al.Su H, Dou C, Dou F, et al. Enhanced photovoltaic performance of silicon solar cells using a down-shift KCa2Mg2(VO4)3 phosphor.Dalton Transactions 2024; 53(35):14648-14655.Wöhler W, Greulich J. 硅太阳能电池中的光捕获,包括对周围的二次反射。IEEE 光伏学报 2024; 14(5):Ide K, Nishihara T, Nakamura K, et al. Evaluation of the effect of texture size and rounding process on three-dimensional flexibility of c-Si wafer.日本应用物理学杂志》,2024 年;63(8):085503.Ziar H. 针对地理市场设计硅基太阳能电池的全球统计评估。Joule 2024; 8(6):1667-1690.Li Y, Ru XN, Yang M, et al. Flexible silicon solar cells with high power-to-weight ratios.自然 2024; 626(7997):Lorenz A, Wenzel T, Pingel S, et al. Towards a cutting-edge metallization process for silicon heterojunction solar cells with very low silver laydown.光伏技术进展:研究与应用》,2024 年,第 32(10)期:655-663.Soler-Castillo Y, Sahni M, Leon-Castro E. 基于两种新方法的光伏资源动态性能预测。光伏技术进展:研究与应用》,2024 年,第 32(10)期,第 701-745 页:701-745.Xie A, Wang G, Sun Y, et al. Bifacial silicon heterojunction solar cells using transparent-conductive-oxide- and dopant-free electron-selective contacts.光伏学进展:Photovoltaics: Research and Applications 2024; 32(10):Ding D, Gao C, Wang X, et al.太阳能材料与太阳能电池 2024; 277:Jiang XL, Chen XY, Zhang JB, et al:掺磷氢化碳化硅:薄膜形成、性能及其在硅异质结太阳能电池上的应用。太阳能材料与太阳能电池,2024;277:Kashizadeh A, Basnet R, Black L, et al.太阳能材料和太阳能电池》,2024 年,第 277 期:Mette A, Hörnlein S, Stenzel F, et al.使用 LECO 的 Q.ANTUM NEO 电池效率超过 25.5%。 Dai ZY, Yang Y, Huang XF, et al.Han EQ, Yun JH, Maeng I, et al. Efficient bifacial semi-transparent perovskite solar cells via a dimethylformamide-free solvent and bandgap engineering strategy.He ZY, Zhang SF, Wei QL, et al.Liu QY, Ou ZP, Ma Z, et al. Perovskite solar cells with self-disintegrating seeds deliver an 83.64% fill factor.Nano Energy 2024; 127: 109751.Niu GS, Bai BW, Wang YD, et al:通过纳米石墨烯的加入解决锂离子在斯派罗-OMeTAD 层中的移动问题。Nano Energy 2024; 129:110017.Qamar MZ, Khalid Z, Shahid R, et al. 通过自供电物联网应用的柔性过氧化物光伏技术推进室内能量收集。纳米能源 2024; 129:Tsvetkov N, Koo D, Kim D, et al:从材料到性能。Wang F, Duan DW, Sun YG, et al. Uncovering chemical structure-depende
{"title":"Photovoltaics Literature Survey (No. 194)","authors":"Ziv Hameiri","doi":"10.1002/pip.3857","DOIUrl":"https://doi.org/10.1002/pip.3857","url":null,"abstract":"&lt;p&gt;In order to help readers stay up-to-date in the field, each issue of &lt;i&gt;Progress in Photovoltaics&lt;/i&gt; will contain a list of recently published journal articles that are most relevant to its aims and scope. This list is drawn from an extremely wide range of journals, including &lt;i&gt;IEEE Journal of Photovoltaics&lt;/i&gt;, &lt;i&gt;Solar Energy Materials and Solar Cells&lt;/i&gt;, &lt;i&gt;Renewable Energy&lt;/i&gt;, &lt;i&gt;Renewable and Sustainable Energy Reviews&lt;/i&gt;, &lt;i&gt;Journal of Applied Physics&lt;/i&gt;, and &lt;i&gt;Applied Physics Letters&lt;/i&gt;. To assist readers, the list is separated into broad categories, but please note that these classifications are by no means strict. Also note that inclusion in the list is not an endorsement of a paper's quality. If you have any suggestions please email Ziv Hameiri at &lt;span&gt;[email protected]&lt;/span&gt;.&lt;/p&gt;&lt;p&gt;Wang B, Chen Q, Wang MM, et al. &lt;b&gt;PVF-10: A high-resolution unmanned aerial vehicle thermal infrared image dataset for fine-grained photovoltaic fault classification.&lt;/b&gt; &lt;i&gt;Applied Energy&lt;/i&gt; 2024; &lt;b&gt;376&lt;/b&gt;: 124187.&lt;/p&gt;&lt;p&gt;Ozturk E, Ogliari E, Sakwa M, et al. &lt;b&gt;Photovoltaic modules fault detection, power output, and parameter estimation: A deep learning approach based on electroluminescence images.&lt;/b&gt; &lt;i&gt;Energy Conversion and Management&lt;/i&gt; 2024; &lt;b&gt;319&lt;/b&gt;: 118866.&lt;/p&gt;&lt;p&gt;Almora O, Lopez-Varo P, Escalante R, et al. &lt;b&gt;Instability analysis of perovskite solar cells via short-circuit impedance spectroscopy: A case study on NiO&lt;/b&gt;&lt;sub&gt;&lt;b&gt;x&lt;/b&gt;&lt;/sub&gt; &lt;b&gt;passivation.&lt;/b&gt; &lt;i&gt;Journal of Applied Physics&lt;/i&gt; 2024; &lt;b&gt;136&lt;/b&gt;(9): 094502.&lt;/p&gt;&lt;p&gt;El Khoury M, Moret M, Tiberj A, et al. &lt;b&gt;Determination of light-independent shunt resistance in CIGS photovoltaic cells using a collection function-based model.&lt;/b&gt; &lt;i&gt;Journal of Applied Physics&lt;/i&gt; 2024; &lt;b&gt;136&lt;/b&gt;(2): 024502.&lt;/p&gt;&lt;p&gt;Li JC, Ji Q, Wang R, et al. &lt;b&gt;Charge generation dynamics in organic photovoltaic blends under one-sun-equivalent illumination detected by highly sensitive terahertz spectroscopy.&lt;/b&gt; &lt;i&gt;Journal of the American Chemical Society&lt;/i&gt; 2024; &lt;b&gt;146&lt;/b&gt;(29): 20312-20322.&lt;/p&gt;&lt;p&gt;Sandner D, Sun K, Stadlbauer A, et al. &lt;b&gt;Hole localization in bulk and 2D lead-halide perovskites studied by time-resolved infrared spectroscopy.&lt;/b&gt; &lt;i&gt;Journal of the American Chemical Society&lt;/i&gt; 2024; &lt;b&gt;146&lt;/b&gt;(29): 19852-19862.&lt;/p&gt;&lt;p&gt;Li Y, Wright B, Hameiri Z. &lt;b&gt;Deep learning-based perspective distortion correction for outdoor photovoltaic module images.&lt;/b&gt; &lt;i&gt;Solar Energy Materials and Solar Cells&lt;/i&gt; 2024; &lt;b&gt;277&lt;/b&gt;: 113107.&lt;/p&gt;&lt;p&gt;Wang S, Wright B, Zhu Y, et al. &lt;b&gt;Extracting the parameters of two-energy-level defects in silicon wafers using machine learning models.&lt;/b&gt; &lt;i&gt;Solar Energy Materials and Solar Cells&lt;/i&gt; 2024; &lt;b&gt;277&lt;/b&gt;: 113123.&lt;/p&gt;&lt;p&gt;Zhou YN, Zhang HH, Li ZF, et al. &lt;b&gt;Heavy boron-doped silicon tunneling inter-layer enables efficient silicon heterojunction solar cells.&lt;/b&gt; &lt;i&gt;Acs Applied Materials and Interfaces&lt;/i&gt; 2024; &lt;b&gt;16&lt;/b&gt;(35): 46889-46896.&lt;/p&gt;&lt;p&gt;Li WK, Zhou R, Wang YK, et al. &lt;b","PeriodicalId":223,"journal":{"name":"Progress in Photovoltaics","volume":"32 12","pages":"950-956"},"PeriodicalIF":8.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/pip.3857","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Autonomous Intelligent Monitoring of Photovoltaic Systems: An In-Depth Multidisciplinary Review
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-11-10 DOI: 10.1002/pip.3859
M. Aghaei, M. Kolahi, A. Nedaei, N. S. Venkatesh, S. M. Esmailifar, A. M. Moradi Sizkouhi, A. Aghamohammadi, A. K. V. Oliveira, A. Eskandari, P. Parvin, J. Milimonfared, V. Sugumaran, R. Rüther

This study presents a comprehensive multidisciplinary review of autonomous monitoring and analysis of large-scale photovoltaic (PV) power plants using enabling technologies, namely artificial intelligence (AI), machine learning (ML), deep learning (DL), internet of things (IoT), unmanned aerial vehicle (UAV), and big data analytics (BDA), aiming to automate the entire condition monitoring procedures of PV systems. Autonomous monitoring and analysis is a novel concept for integrating various techniques, devices, systems, and platforms to further enhance the accuracy of PV monitoring, thereby improving the performance, reliability, and service life of PV systems. This review article covers current trends, recent research paths and developments, and future perspectives of autonomous monitoring and analysis for PV power plants. Additionally, this study identifies the main barriers and research routes for the autonomous and smart condition monitoring of PV systems, to address the current and future challenges of enabling the PV terawatt (TW) transition. The holistic review of the literature shows that the field of autonomous monitoring and analysis of PV plants is rapidly growing and is capable to significantly improve the efficiency and reliability of PV systems. It can also have significant benefits for PV plant operators and maintenance staff, such as reducing the downtime and the need for human operators in maintenance tasks, as well as increasing the generated energy.

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引用次数: 0
Outdoor Performance Monitoring Method for Degradation Studies of Perovskite Modules
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-11-06 DOI: 10.1002/pip.3860
Gianluigi Bovesecchi, Marcello Petitta, Marco Pierro, Antonio Agresti, Sara Pescetelli, Enrico Leonardi, Aldo Di Carlo, Cristina Cornaro

This paper presents an outdoor performance monitoring method for degradation studies of perovskite modules, focusing on a large-area perovskite module (81.9 cm2) over a long-term monitoring campaign. The module underwent an industrial lamination process to prevent long-term degradation from environmental factors. The characterization procedure involved degradation correction and determining the temperature coefficients and electrical parameters of the module using initial days of measurements. The results demonstrated temperature coefficients for Isc, Voc, and Pm (α′, β′, and γ) of −0.071%·K−1, −0.119%·K−1, and −0.113%·K−1, respectively, indicating a minimal temperature influence on this technology compared with conventional ones. Using this coefficient, the STC electrical parameters were retrieved from 1-min power output data, resolving the uncertainty of the indoor/outdoor IV curve measurements caused by the curve scan direction (JV hysteresis effect). We also highlight the initial remarkable capacity recovery effect of almost 16% during the first 2 days of operation. Additionally, a procedure that includes the IV curves analysis taken every 10 min and their translation to standard conditions has been implemented to evaluate the degradation of the module over the long-term outdoor campaign. The results show three different trends over the period.

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引用次数: 0
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Progress in Photovoltaics
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