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Unveiling the mechanism of attaining high fill factor in silicon solar cells 揭示硅太阳能电池获得高填充因子的机理
IF 6.7 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-01-25 DOI: 10.1002/pip.3775
Hao Lin, Genshun Wang, Qiao Su, Can Han, Chaowei Xue, Shi Yin, Liang Fang, Xixiang Xu, Pingqi Gao

A world record conversion efficiency of 26.81% has been achieved recently by LONGi team on a solar cell with industry-grade silicon wafer (274 cm2, M6 size). An unparalleled high fill factor (FF) of up to 86.59% has also been certified in a separated device. The theoretical FF limit has been predicted to be 89.26%, while the practical FF is far below this limit for a prolonged interval due to the constraints of recombination (i.e., SRH recombination) and series resistance. The ideality factor (m) in the equivalent circuit of silicon solar cells is consistently ranging from 1 to 2 and rarely falls below 1, resulting in a relatively lower FF than 85%. Here, this work complements a systematic simulation study to demonstrate how to approach the FF limit in design of silicon solar cells. Firstly, a diode component with an ideality factor equal to 2/3 corresponding to Auger recombination is incorporated in the equivalent circuit for LONGi ultra-high FF solar cell; Secondly, an advanced equivalent circuit is put forward for comprehensive analysis of bulk recombination and surface recombination on the performance, in which specific ideality factors are directly correlated with various recombination mechanisms exhibiting explicit reverse saturation current density (J0). Finally, we evaluate precisely the route for approaching theoretical FF in practical solar cell fabrication based on electrical design parameters using the developed model.

最近,隆基团队在使用工业级硅晶片(274 平方厘米,M6 尺寸)的太阳能电池上实现了 26.81% 的世界纪录转换效率。此外,还在一个分离式设备中实现了高达 86.59% 的无与伦比的高填充因子 (FF)。据预测,理论填充因子上限为 89.26%,但由于重组(即 SRH 重组)和串联电阻的限制,实际填充因子在很长一段时间内都远远低于这一上限。硅太阳能电池等效电路中的意向性因子(m)一直在 1 到 2 之间,很少低于 1,从而导致 FF 相对低于 85%。在此,这项工作补充了一项系统模拟研究,以展示如何在硅太阳能电池设计中接近 FF 限制。首先,在 LONGi 超高 FF 太阳能电池的等效电路中加入了一个理想度系数等于 2/3 的二极管元件,与奥杰尔重组相对应;其次,提出了一种先进的等效电路,用于全面分析体重组和表面重组对性能的影响,其中特定的理想度系数与各种重组机制直接相关,表现出明确的反向饱和电流密度 (J0)。最后,我们根据所开发模型的电气设计参数,精确评估了在实际太阳能电池制造中接近理论 FF 的途径。
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引用次数: 0
A collaborative framework for unifying typical multidimensional solar cell simulations – Part I. Ten common simulation steps and representing variables 统一典型多维太阳能电池模拟的协作框架--第一部分:十个常用模拟步骤和代表变量
IF 6.7 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-01-23 DOI: 10.1002/pip.3779
Fa-Jun Ma, Shaozhou Wang, Chuqi Yi, Lang Zhou, Ziv Hameiri, Stephen Bremner, Xiaojing Hao, Bram Hoex

Multidimensional simulations for diverse solar cells often encounter distinctive configurations, even when employing the same simulation software. The complexity and inefficiency of this process are further exacerbated when employing different simulators. From our extensive decade-long experience in numerical simulations of diverse solar cells, we have identified ten common simulation steps intrinsic to typical electrical and optical simulations. Subsequently, we propose ten sets of variables that encompass all the relevant details required for these steps. To address the challenge of varying information requirements for each variable across different simulations, we assign a list, a versatile data type, to each variable. This approach, by design, enables concise, coherent, and flexible input, accommodating the unique demands of each simulation. However, to ensure unambiguous simulations, precise specifications for these variables are essential. Computer code has been successfully implemented to ensure adherence to specifications and expedite variable synchronization with Sentaurus, the de facto standard for device simulation. Within this framework, users are only tasked with editing variables in a plain text file, obviating the need for in-depth knowledge of Sentaurus. This streamlines the prerequisites for engaging in numerical simulation significantly. Through thoughtful design considerations, we preserve the simulation capacity while simultaneously enhancing productivity considerably. This open-source framework welcomes global collaboration within the photovoltaic community and has the potential to generate an extensive dataset for cost-effective artificial intelligence training.

对各种太阳能电池进行多维模拟时,即使使用相同的模拟软件,也经常会遇到不同的配置。如果使用不同的模拟器,这一过程的复杂性和低效率会进一步加剧。根据我们在各种太阳能电池数值模拟方面长达十年的丰富经验,我们确定了典型电气和光学模拟固有的十个常见模拟步骤。随后,我们提出了十组变量,涵盖了这些步骤所需的所有相关细节。为了解决不同仿真对每个变量的信息要求各不相同的难题,我们为每个变量分配了一个列表(一种通用数据类型)。根据设计,这种方法可以实现简洁、连贯和灵活的输入,满足每次模拟的独特需求。然而,为了确保模拟结果的明确性,这些变量的精确规范是必不可少的。我们已成功实施了计算机代码,以确保遵守规范,并加快与 Sentaurus(设备仿真的实际标准)的变量同步。在此框架内,用户只需编辑纯文本文件中的变量,无需深入了解 Sentaurus。这大大简化了进行数值模拟的前提条件。通过深思熟虑的设计考虑,我们在保留仿真能力的同时大大提高了工作效率。这一开源框架欢迎光伏社区内的全球合作,并有可能生成一个广泛的数据集,用于经济高效的人工智能培训。
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引用次数: 0
Surface saturation current densities of perovskite thin films from Suns-photoluminescence quantum yield measurements 从太阳-光致发光量子产率测量得出的过氧化物薄膜表面饱和电流密度
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-01-15 DOI: 10.1002/pip.3767
Robert Lee Chin, Arman Mahboubi Soufiani, Paul Fassl, Jianghui Zheng, Eunyoung Choi, Anita Ho-Baillie, Ulrich W. Paetzold, Thorsten Trupke, Ziv Hameiri

We present a simple yet powerful analysis of Suns-photoluminescence quantum yield measurements that can be used to determine the surface saturation current densities of thin film semiconductors. We apply the method to state-of-the-art polycrystalline perovskite thin films of varying absorber thickness. We show that the non-radiative bimolecular recombination in these samples originates from the surfaces. To the best of our knowledge, this is the first study to demonstrate and quantify non-linear (bimolecular) surface recombination in perovskite thin films.

我们介绍了一种简单而强大的太阳光量子产率测量分析方法,可用于确定薄膜半导体的表面饱和电流密度。我们将该方法应用于不同吸收体厚度的最先进的多晶过氧化物薄膜。我们的研究表明,这些样品中的非辐射双分子重组源自表面。据我们所知,这是第一项展示和量化包晶体薄膜中非线性(双分子)表面重组的研究。
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引用次数: 0
Wafer-bonded two-terminal III-V//Si triple-junction solar cell with power conversion efficiency of 36.1% at AM1.5g 晶圆键合两端 III-V//Si 三结太阳能电池,AM1.5g 功率转换效率达 36.1%
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-01-09 DOI: 10.1002/pip.3769
Patrick Schygulla, Ralph Müller, Oliver Höhn, Michael Schachtner, David Chojniak, Andrea Cordaro, Stefan Tabernig, Benedikt Bläsi, Albert Polman, Gerald Siefer, David Lackner, Frank Dimroth

In this work, we present the fabrication and analysis of a wafer-bonded GaInP/GaInAsP//Si triple-junction solar cell with 36.1% conversion efficiency under AM1.5g spectral illumination. The new cell design presents an improvement over previous III-V//Si triple-junction cells by the implementation of a rear-heterojunction for the middle cell. Furthermore, an advanced metallodielectric rear-side grating was used for light trapping enhancement in the silicon bottom cell that increased the silicon subcell current by 1.4 mA/cm2. The external radiative efficiency was quantified to be 1.5 times higher compared to a reference device with a GaInAsP homojunction middle cell. A luminescent coupling factor of 0.46 between the middle and bottom subcell was determined. The share of recombination in the space-charge region was experimentally shown to be insignificant as intended by the rear-heterojunction design. Overall, the open-circuit voltage of the middle cell increased by 61 mV compared to the previous generation. Given the established long-term stability of III-V and silicon-based solar cells, these results are promising steps towards the future employment of III-V/Si tandem solar cells.

在这项工作中,我们介绍了一种晶圆键合 GaInP/GaInAsP//Si 三结太阳能电池的制造和分析,该电池在 AM1.5g 光谱照明下的转换效率为 36.1%。新的电池设计通过在中间电池采用后置异质结,改进了以往的 III-V//Si 三结电池。此外,在硅底部电池中使用了先进的金属介质后侧光栅来增强光捕获,从而将硅子电池的电流提高了 1.4 mA/cm2。与采用砷化镓同质结中间电池的参考器件相比,外部辐射效率提高了 1.5 倍。中间和底部子电池之间的发光耦合系数为 0.46。实验表明,空间电荷区的重组比例很小,这也是后部异质结设计的初衷。总体而言,与上一代产品相比,中间电池的开路电压提高了 61 mV。鉴于三-五代和硅基太阳能电池的长期稳定性已得到证实,这些结果为三-五代和硅基串联太阳能电池的未来应用带来了希望。
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引用次数: 0
Photovoltaics literature survey (no. 188) 光伏文献调查(第 188 号)
IF 6.7 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2024-01-09 DOI: 10.1002/pip.3772
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>Müller D, Jiang ER, Rivas-Lazaro P, et al <b>Indoor photovoltaics for the Internet-of-Things - A comparison of state-of-the-art devices from different photovoltaic technologies.</b> <i>Acs Applied Energy Materials</i> 2023; <b>6</b>(20): 10404–10414.</p><p>Chen ZS, Sun P. <b>Generic technology R&D strategies in dual competing photovoltaic supply chains: A social welfare maximization perspective.</b> <i>Applied Energy</i> 2024; <b>353</b>: 122089.</p><p>Virtuani A, Borja Block A, Wyrsch N, et al <b>The carbon intensity of integrated photovoltaics.</b> <i>Joule</i> 2023; <b>7</b>(11): 2511–2536.</p><p>Mirletz H, Hieslmair H, Ovaitt S, et al <b>Unfounded concerns about photovoltaic module toxicity and waste are slowing decarbonization.</b> <i>Nature Physics</i> 2023; <b>19</b>(10): 1376–1378.</p><p>Chen Y, Chen D, Altermatt PP, et al <b>Technology evolution of the photovoltaic industry: Learning from history and recent progress.</b> <i>Progress in Photovoltaics: Research and Applications</i> 2023; <b>31</b>(12): 1194–1204.</p><p>Hassan S, Dhimish M. <b>Enhancing solar photovoltaic modules quality assurance through convolutional neural network-aided automated defect detection.</b> <i>Renewable Energy</i> 2023; <b>219</b>: 119389.</p><p>Lee M-H. <b>Predicting and analyzing the fill factor of non-fullerene organic solar cells based on material properties and interpretable machine-learning strategies.</b> <i>Solar Energy</i> 2024; <b>267</b>: 112191.</p><p>Liu Q, Liu M, Wang C, et al <b>An efficient CNN-based detector for photovoltaic module cells defect detection in electroluminescence images.</b> <i>Solar Energy</i> 2024; <b>267</b>: 112245.</p><p>Yousif H, Al-Milaji Z. <b>Fault detection from PV images using hybrid deep learning model.</b> <i>Solar Energy</i> 2024; <b>267</b>: 112207.</p><p>Heidrich R, Barretta C, Mordvinkin A, et al <b>UV lamp spectral effects on the aging behavior of encapsulants for photovoltaic modules.</b> <i>Solar Energy Materials and Solar Cells</i> 2024; <b>266</b>: 112674.</p><p>Nan C, Hao Y, Huang X, et al <b>Investigation on temperature dependence of recent high-efficiency silicon solar modules.</b> <i>Solar Energy Ma
Zhou Y, Zhang L, Liu W, et al Improved interface microstructure between crystalline silicon and nanocrystalline silicon oxide window layer of silicon heterojunction solar cells.Zhou Y, Zhao D, Yu X, et al 用于丝网印刷 n 型工业太阳能电池的超薄氧化硅隧道层钝化触点。Chu QQ, Sun ZJ, Hah J, et al 全包晶串联太阳能电池的进展、挑战和未来趋势:全面综述。Toniolo F, Bristow H, Babics M, et al Efficient and reliable encapsulation for perovskite/silicon tandem solar modules.Nanoscale 2023; 15(42):O'Sullivan J, Wright M, Niu X, et al Towards a graphene transparent conducting electrode for perovskite/silicon tandem solar cells.光伏技术进展:研究与应用》,2023 年,31(12):Schulte-Huxel H, Witteck R, Blankemeyer S, et al 三端串联太阳能电池的最佳互连。光伏技术进展:研究与应用》,2023 年,第 31(12)期:1350-1359.Finkelmeyer SJ, Askins EJ, Eichhorn J, et al Tailoring the weight of surface and intral layer edge states to control LUMO energies.Advanced Materials 2023; 2305006.Che YX, Niazi MR, Chan QT, et al Design of Furan-based acceptors for organic photovoltaics.Zhang MM, Lu QX, Liu XJ, et al The effect of infrared push pulse on the relaxed exciton in single-component organic solar cells.应用物理快报 2023; 123(15):151102.Kang X, Bao Y, Feng TY, et al Fluorenyl-based polyurethane efficiently improves the flexibility and photovoltaic performance of organic solar cells.Chemical Engineering Journal 2023; 476: 146828.Ma H, Sun Z, Jeong M, et al Ordering structure control of polythiophene-based donor for High-Efficiency organic solar cells.Jeon H, Hong KP, Lee JW, et al Regioisomeric engineering of dimerized small-molecule acceptors for efficient and stable organic solar cells.材料化学 2023; 35(21):9276-9286.Song JL, Ye LL, Liu CH, et al Multifunctional solid additive enables all-polymer solar cells with improved efficiency, photostability and mechanical durability.Wang CX, Ma XM, Shen YF, et al Unique assembly of giant star-shaped trimer enables non-halogen solvent-fabricated, thermal stable, and efficient organic solar cells.Joule 2023; 7(10):2386-2401.Suthar R, Abhijith T, Karak S. 使用新型分子和结构描述符对非富勒烯有机太阳能电池的光伏性能进行机器学习指导预测。材料化学期刊 A 2023; 11(41):Zhang Z, Zhang Y, Deng Z, et al 18.73% 效率的以中等带隙受体为第三组分的有机太阳能电池。材料化学学报 A 2023; 11(43):Liu W, Xu X, He SQ, et al Three-arm star-shaped acceptor enables organic solar cell over 18% efficiency.大分子 2023; 56(21):8623-8631.Duan XL, Ding Y, Liu RY.基于银纳米线的柔性透明电极在有机太阳能电池中的稳定性增强.Cheng ZK, Javed N, Zhao F, et al Photon recycling in organic semiconductor films using plasmonic metasurface.Dong M, Chen S, Hong L, et al 19.0% 效率的二元有机太阳能电池是通过使用构件作为固体添加剂实现的。Xu JY, Späth A, Gruber W, et al Tailoring doped organic nanoparticles as selective hole transporters for printed non-fullerene organic solar cells.Gan ZR, Wang L, Cai JL, et al Electrostatic force promoted intermolecular stacking of polymer donors toward 19.4% efficiency binary organic solar cells.Nature Communications 2023; 14(1):Zhang H, Tian CY, Zhang ZQ, et al Concretized structural evolution supported assembly-controlled film-forming kinetics in slot-die coated organic photovoltaics.自然通讯 2023; 14(1):Wang
{"title":"Photovoltaics literature survey (no. 188)","authors":"Ziv Hameiri","doi":"10.1002/pip.3772","DOIUrl":"https://doi.org/10.1002/pip.3772","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;Müller D, Jiang ER, Rivas-Lazaro P, et al &lt;b&gt;Indoor photovoltaics for the Internet-of-Things - A comparison of state-of-the-art devices from different photovoltaic technologies.&lt;/b&gt; &lt;i&gt;Acs Applied Energy Materials&lt;/i&gt; 2023; &lt;b&gt;6&lt;/b&gt;(20): 10404–10414.&lt;/p&gt;&lt;p&gt;Chen ZS, Sun P. &lt;b&gt;Generic technology R&amp;D strategies in dual competing photovoltaic supply chains: A social welfare maximization perspective.&lt;/b&gt; &lt;i&gt;Applied Energy&lt;/i&gt; 2024; &lt;b&gt;353&lt;/b&gt;: 122089.&lt;/p&gt;&lt;p&gt;Virtuani A, Borja Block A, Wyrsch N, et al &lt;b&gt;The carbon intensity of integrated photovoltaics.&lt;/b&gt; &lt;i&gt;Joule&lt;/i&gt; 2023; &lt;b&gt;7&lt;/b&gt;(11): 2511–2536.&lt;/p&gt;&lt;p&gt;Mirletz H, Hieslmair H, Ovaitt S, et al &lt;b&gt;Unfounded concerns about photovoltaic module toxicity and waste are slowing decarbonization.&lt;/b&gt; &lt;i&gt;Nature Physics&lt;/i&gt; 2023; &lt;b&gt;19&lt;/b&gt;(10): 1376–1378.&lt;/p&gt;&lt;p&gt;Chen Y, Chen D, Altermatt PP, et al &lt;b&gt;Technology evolution of the photovoltaic industry: Learning from history and recent progress.&lt;/b&gt; &lt;i&gt;Progress in Photovoltaics: Research and Applications&lt;/i&gt; 2023; &lt;b&gt;31&lt;/b&gt;(12): 1194–1204.&lt;/p&gt;&lt;p&gt;Hassan S, Dhimish M. &lt;b&gt;Enhancing solar photovoltaic modules quality assurance through convolutional neural network-aided automated defect detection.&lt;/b&gt; &lt;i&gt;Renewable Energy&lt;/i&gt; 2023; &lt;b&gt;219&lt;/b&gt;: 119389.&lt;/p&gt;&lt;p&gt;Lee M-H. &lt;b&gt;Predicting and analyzing the fill factor of non-fullerene organic solar cells based on material properties and interpretable machine-learning strategies.&lt;/b&gt; &lt;i&gt;Solar Energy&lt;/i&gt; 2024; &lt;b&gt;267&lt;/b&gt;: 112191.&lt;/p&gt;&lt;p&gt;Liu Q, Liu M, Wang C, et al &lt;b&gt;An efficient CNN-based detector for photovoltaic module cells defect detection in electroluminescence images.&lt;/b&gt; &lt;i&gt;Solar Energy&lt;/i&gt; 2024; &lt;b&gt;267&lt;/b&gt;: 112245.&lt;/p&gt;&lt;p&gt;Yousif H, Al-Milaji Z. &lt;b&gt;Fault detection from PV images using hybrid deep learning model.&lt;/b&gt; &lt;i&gt;Solar Energy&lt;/i&gt; 2024; &lt;b&gt;267&lt;/b&gt;: 112207.&lt;/p&gt;&lt;p&gt;Heidrich R, Barretta C, Mordvinkin A, et al &lt;b&gt;UV lamp spectral effects on the aging behavior of encapsulants for photovoltaic modules.&lt;/b&gt; &lt;i&gt;Solar Energy Materials and Solar Cells&lt;/i&gt; 2024; &lt;b&gt;266&lt;/b&gt;: 112674.&lt;/p&gt;&lt;p&gt;Nan C, Hao Y, Huang X, et al &lt;b&gt;Investigation on temperature dependence of recent high-efficiency silicon solar modules.&lt;/b&gt; &lt;i&gt;Solar Energy Ma","PeriodicalId":223,"journal":{"name":"Progress in Photovoltaics","volume":"32 2","pages":"130-134"},"PeriodicalIF":6.7,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/pip.3772","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139406912","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
Predicting encapsulant delamination in photovoltaic modules bridging photochemical reaction kinetics and fracture mechanics 在光化学反应动力学和断裂力学之间架起桥梁,预测光伏组件中的封装脱层现象
IF 6.7 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2023-12-27 DOI: 10.1002/pip.3771
Kuan Liu, Patrick Thornton, Dagmar R. D'hooge, Reinhold H. Dauskardt

Photovoltaic (PV) modules are subjected to environmental stressors (UV exposure, temperature, and humidity) that cause degradation within the encapsulant and its interfaces with adjacent glass and cell substrates. To save experimental time and to enable long-term assessment with intensive degradation only taking place after many years, the development of predictive models is indispensable. Previous works have modeled the delamination of the ethylene vinyl acetate (EVA) encapsulant/glass and encapsulant/cell interfaces under field aging conditions with fundamental photochemical degradation reactions that lead to molecular scission and loss of interfacial adhesion, characterized by the fracture resistance, Gc. However, these models were fundamentally limited in that the following aspects were not incorporated: (i) molecular crosslinking in the field, (ii) synergistic autocatalytic interactions of degradation mechanisms, (iii) connection between degraded encapsulant structure and its mechanical properties, and (iv) rigorous treatment of the plasticity contribution to Gc with finite element models. Here, we present a time-dependent multiscale model that addresses these limitations and is applicable to a wide range of encapsulants and interfaces. For the reference EVA encapsulant and its interfaces with the glass and cell, the presented model predicts an initial rise in Gc in the first 3 years of field aging from crosslinking, then a subsequent sharp decline from degradation mechanisms. We used nanoindentation to measure the changes in EVA mechanical properties over exposure time to tune the model parameters. The model predictions of Gc and mechanical properties match with experimental data and show an improvement compared to previous models. The model can even predict switches in failure interfaces, such as the observed EVA/cell to EVA/glass transition. We also conducted a sensitivity analysis study by varying the degradation and crosslinking kinetic parameters to demonstrate their effects on Gc. Model extensions to polyolefin elastomer- and silicone-encapsulants and their interfaces are also demonstrated.

光伏(PV)模块会受到环境压力(紫外线照射、温度和湿度)的影响,导致封装材料内部及其与相邻玻璃和电池基板的界面发生降解。为了节省实验时间,并对多年后才发生的严重降解进行长期评估,开发预测模型是必不可少的。以前的研究已经模拟了在现场老化条件下乙烯-醋酸乙烯酯(EVA)封装体/玻璃和封装体/电池界面的分层情况,这些分层是由基本的光化学降解反应导致分子断裂和界面粘附力丧失引起的,以断裂电阻 Gc 为特征。然而,这些模型存在根本性的局限性,因为没有纳入以下方面:(i) 现场分子交联,(ii) 降解机制的协同自催化相互作用,(iii) 降解封装材料结构与其机械性能之间的联系,以及 (iv) 利用有限元模型严格处理塑性对 Gc 的贡献。在此,我们提出了一种随时间变化的多尺度模型,该模型解决了这些局限性,并适用于各种封装材料和界面。对于参考 EVA 封装剂及其与玻璃和电池的界面,所提出的模型预测在现场老化的头 3 年,交联会导致 Gc 初始上升,然后降解机制会导致 Gc 随后急剧下降。我们使用纳米压痕法测量 EVA 机械性能随暴露时间的变化,以调整模型参数。模型对 Gc 和机械性能的预测与实验数据相符,与以前的模型相比有所改进。该模型甚至可以预测失效界面的转换,如观察到的 EVA/电池到 EVA/玻璃的转换。我们还通过改变降解和交联动力学参数进行了敏感性分析研究,以证明它们对 Gc 的影响。此外,我们还展示了模型在聚烯烃弹性体和硅酮胶囊剂及其界面上的扩展。
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引用次数: 0
Toward efficient and industrially compatible fully textured perovskite silicon tandem solar cells: Controlled process parameters for reliable perovskite formation 实现高效和工业兼容的全纹理包晶硅串联太阳能电池:控制工艺参数,实现可靠的包晶形成
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2023-12-27 DOI: 10.1002/pip.3770
Oussama Er-raji, Alexander J. Bett, Stefan Lange, Henning Nagel, Martin Bivour, Oliver Schultz-Wittmann, Christian Hagendorf, Martin Hermle, Juliane Borchert, Stefan W. Glunz, Patricia S. C. Schulze

Capitalizing on the existing silicon industry, fully textured perovskite-silicon tandem solar cells have a great potential to penetrate the electricity market. While the use of textured silicon with large pyramid size (> 1 μm) enhances the power conversion efficiency (PCE), it also presents process complications. To achieve high performance, meticulous control of deposition parameters on textured silicon is required. This study provides a guideline for the use of the hybrid evaporation/spin-coating route to form high-quality perovskite absorbers. Using various characterization techniques, we highlight intrinsic differences between perovskite growth on flat versus textured substrates. Furthermore, we provide pathways to ensure a high perovskite phase purity, reveal mitigation strategies to avoid the formation of undesired dendritic perovskite structures, give guidelines to ensure photostability, and discuss the “misleading” effect of residual PbI2 on the perovskite photoluminescence response. A good understanding of the perovskite growth on textured silicon enables the fabrication of a tandem device with a PCE > 26% (without employing additives or surface treatments) and a good operational stability. The comprehensive guidelines in this study provide a better understanding of perovskite formation on textured silicon and can be transferred when upscaling the hybrid route perovskite deposition.

利用现有的硅产业,全纹理过氧化物硅-硅串联太阳能电池在电力市场上具有巨大的渗透潜力。虽然使用大金字塔尺寸(> 1 μm)的纹理硅可提高功率转换效率(PCE),但同时也带来了工艺复杂性。为了实现高性能,需要对纹理硅的沉积参数进行细致的控制。本研究为使用混合蒸发/旋转涂层路线形成高质量的包晶吸收器提供了指导。通过使用各种表征技术,我们强调了在平面基底和纹理基底上生长的包晶石之间的内在差异。此外,我们还提供了确保高包晶石相纯度的途径,揭示了避免形成不受欢迎的树枝状包晶石结构的缓解策略,给出了确保光稳定性的指导原则,并讨论了残留 PbI2 对包晶石光致发光响应的 "误导 "作用。通过充分了解在纹理硅上的包晶生长过程,可以制造出 PCE > 26% 的串联器件(无需使用添加剂或表面处理),并且具有良好的运行稳定性。本研究中的综合指南让人们更好地了解了质地硅上的包晶形成,并可在升级混合路线包晶沉积时加以借鉴。
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引用次数: 0
Shingle cell I V characterization based on spatially resolved host cell measurements 基于空间分辨宿主细胞测量的成纤维细胞 IV 表征
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2023-12-26 DOI: 10.1002/pip.3764
Philipp Kunze, Matthias Demant, Alexander Krieg, Ammar Tummalieh, Nico Wöhrle, Stefan Rein

Each solar cell is characterized at the end-of-line using current-voltage (IV) measurements, except shingle cells, due to multiplied measurement efforts. Therefore, the respective host cell quality is adopted for all resulting shingles, which is sufficient for samples with laterally homogeneous quality. Yet, for heterogeneous defect distributions, this procedure leads to (i) loss of high-quality shingles due to defects on neighboring host cell parts, (ii) increased mismatch losses due to inaccurate binning, and (iii) lack of shingle-precise characterization. In spatially resolved host measurements, such as electroluminescence images, all shingles are visible along with their properties. Within a comprehensive experiment, 840 hosts and their resulting shingles are measured. Thereafter, a deep learning model has been designed and optimized which processes host images and determines IV parameters like efficiency or fill factor, IV curves, and binning classes for each shingle cell. The efficiency can be determined with an error of 0.06 %abs enabling a 13 %abs improvement in correct assignment of shingles to bin classes compared with industry standard. This results in lower mismatch losses and higher output power on module level as demonstrated within simulations. Also, IV curves of defective and defect-free shingle cells can be derived with good agreement to actual shingle measurements.

每个太阳能电池都是在生产线末端使用电流-电压(IV$$IV$$)测量法进行表征的,但瓦片电池除外,因为测量工作量会倍增。因此,所有产生的电池片都采用各自的主电池质量,这对于质量横向均匀的样品来说是足够的。然而,对于缺陷分布不均匀的样品,这种方法会导致:(i) 由于邻近的主机电池部分存在缺陷而损失高质量的芯片;(ii) 由于分选不准确而增加错配损失;(iii) 缺乏芯片的精确表征。在电致发光图像等空间分辨宿主测量中,所有芯片及其特性都清晰可见。在一项综合实验中,要测量 840 个宿主及其产生的鳞片。之后,设计并优化了一个深度学习模型,该模型可处理宿主图像并确定 IV$$ IV$$ 参数,如效率或填充因子、IV$$ IV$$ 曲线以及每个闪片单元的分选类别。效率的确定误差为 0.06 %abs$$ 0.06 {%}_{mathrm{abs}}$$ 使得 13 %abs$$ 13 {%}_{mathrm{abs}}与行业标准相比,"shingles to bin classes "的正确分配得到了改善。模拟结果表明,这降低了失配损耗,提高了模块级输出功率。此外,还可以得出有缺陷和无缺陷瓦片电池的 IV$$ IV$$ 曲线,并与实际瓦片测量结果保持良好一致。
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引用次数: 0
Towards a quantification of thermal and thermomechanical stress for modules in building-integrated photovoltaics configurations 对光伏建筑一体化模块的热应力和热机械应力进行量化
IF 8 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2023-12-26 DOI: 10.1002/pip.3762
Hugo Quest, Andrew Fairbrother, Christophe Ballif, Alessandro Virtuani

Due to reduced rear-side ventilation, building-integrated photovoltaics (BIPV) are prone to higher operating temperatures, which may impact their long-term performance and reliability. However, often overlooked in the study of thermomechanical stress in PV modules are the intraday temperature variations, resulting from factors such as cloud movements and subsequent changes in irradiance. This work proposes a statistical analysis of cell and module temperature measurements in single-cell c-Si modules on a test bench in Neuchâtel, Switzerland. The goal is to study and compare various BIPV-relevant module topologies with a range of factors such as the insulation type, tilt angle, and glass thickness. The standard indicators such as the 98th percentile temperature and diurnal temperature variations are examined, as well as proposed new thermomechanical stress indicators based on temperature gradients and cell versus module temperature differences. Unexpectedly, results indicate that, considering the intraday temperature variations, close-roof module configurations (with small ventilation gaps) are potentially at a higher risk of suffering long-term thermomechanical fatigue than fully insulated modules, which are exposed to higher operating temperatures.

由于后侧通风减少,光伏建筑一体化(BIPV)容易出现较高的工作温度,这可能会影响其长期性能和可靠性。然而,在研究光伏组件的热机械应力时,人们往往忽略了云层移动和随后的辐照度变化等因素导致的日内温度变化。这项研究对瑞士纳沙泰尔测试台上单电池晶体硅组件的电池和组件温度测量结果进行了统计分析。目的是研究和比较各种与 BIPV 相关的模块拓扑结构,以及绝缘类型、倾斜角度和玻璃厚度等一系列因素。研究考察了第 98 百分位数温度和昼夜温度变化等标准指标,以及基于温度梯度和电池与组件温差提出的新热机械应力指标。出乎意料的是,研究结果表明,考虑到日间温度变化,与暴露在较高工作温度下的全隔热组件相比,封闭式屋顶组件配置(通风间隙小)遭受长期热机械疲劳的潜在风险更高。
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引用次数: 0
Potential-induced degradation in bifacial silicon heterojunction solar modules: Insights and mitigation strategies 双面硅异质结太阳能组件中的电位诱导退化:见解和缓解策略
IF 6.7 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2023-12-25 DOI: 10.1002/pip.3765
Olatz Arriaga Arruti, Luca Gnocchi, Quentin Jeangros, Christophe Ballif, Alessandro Virtuani

Potential-induced degradation (PID) may be a serious concern in photovoltaic (PV) modules and plants, particularly when approaching high system voltages (1500+ V). Here, we investigate PID occurring in bifacial rear-emitter silicon heterojunction (SHJ) solar cells encapsulated in a glass/glass (G/G) module configuration with ethylene vinyl acetate (EVA) as an encapsulant. PID testing was performed at 85°C in 85% relative humidity (RH), and the solar cells were subjected to −1 kV and +1 kV for up to 800 h. SHJ cells were found to degrade when subjected to −1 kV, and to a lesser extent when left unbiased in damp heat (DH) conditions, while the application of +1 kV prevented degradation. Although prone to PID after extended test durations, the SHJ mini-modules investigated in this study noticeably passed the industry standard (IEC 61215:2021) PID test of 96 h. The degradation was primarily characterized by losses in short-circuit current (ISC) at the front side, followed by fill factor (FF) and open-circuit voltage (VOC). A cross-sectional transmission electronic microscopy analysis of the laminates subjected to −1 kV highlighted a transport of sodium (Na) through the transparent conductive oxide (TCO), reaching the amorphous Si/TCO interface. The samples tested in DH conditions and with positive PID test conditions did not exhibit such a migration of Na. To account for these observations, we updated a previously proposed model describing the sensitivity of SHJ cells to water. In our degradation model, moisture in the module corrodes the glass, creating sodium hydroxide (NaOH) that then percolate through the EVA before reaching the SHJ cell. The application of a high negative bias amplifies the previous mechanism by increasing the availability of Na+ and also enhances the drift of Na+ through the EVA to the cell. Finally, we demonstrate that PID can be mitigated or suppressed at the module level by using a high-volume resistivity encapsulant with a low water vapor transmission rate (WVTR) or by encapsulating SHJ solar cells in a configuration impermeable to water (e.g., using an edge sealant).

电位诱发降解(PID)可能是光伏(PV)模块和电站中的一个严重问题,尤其是在接近高系统电压(1500 V 以上)时。在此,我们研究了以乙烯-醋酸乙烯酯(EVA)为封装剂、封装在玻璃/玻璃(G/G)模块配置中的双面后发射极硅异质结(SHJ)太阳能电池中发生的 PID。在 85°C 和 85% 相对湿度(RH)条件下进行了 PID 测试,并对太阳能电池施加 -1 kV 和 +1 kV 电压长达 800 小时。结果发现,SHJ 电池在施加 -1 kV 电压时会发生降解,在湿热(DH)条件下不偏置时降解程度较小,而施加 +1 kV 电压则可防止降解。降解的主要特征是前端短路电流 (ISC) 损失,其次是填充因子 (FF) 和开路电压 (VOC)。对承受 -1 kV 电压的层压板进行的横截面透射电子显微镜分析表明,钠 (Na) 通过透明导电氧化物 (TCO) 传输,到达非晶态硅/TCO 界面。而在 DH 条件和正 PID 测试条件下测试的样品则没有出现这种 Na 迁移现象。为了解释这些观察结果,我们更新了以前提出的描述 SHJ 电池对水敏感性的模型。在我们的降解模型中,模块中的水分会腐蚀玻璃,产生氢氧化钠 (NaOH),然后渗入 EVA,最后到达 SHJ 电池。高负偏压的应用通过增加 Na+ 的可用性放大了前一种机制,同时也增强了 Na+ 通过 EVA 到电池的漂移。最后,我们证明,通过使用具有低水蒸气透过率 (WVTR) 的高容量电阻率封装剂,或将 SHJ 太阳能电池封装在不透水的结构中(例如,使用边缘密封剂),可以在模块级减轻或抑制 PID。
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引用次数: 0
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Progress in Photovoltaics
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