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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 6.7 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 6.7 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 IV 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 6.7 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�$$ IV $$�) 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�$$ IV $$� parameters like efficiency or fill factor, IV�$$ IV $$� curves, and binning classes for each shingle cell. The efficiency can be determined with an error of 0.06 %abs�$$ 0.06 {%}_{mathrm{abs}} $$� enabling a 13 %abs�$$ 13 {%}_{mathrm{abs}} $$� 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�$$ IV $$� 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 6.7 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
Study on selective emitter fabrication through an innovative pre-diffusion process for enhanced efficiency in TOPCon solar cells 通过创新的预扩散工艺制造选择性发射极以提高 TOPCon 太阳能电池效率的研究
IF 6.7 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2023-12-21 DOI: 10.1002/pip.3766
Wenhao Chen, Weiqing Liu, Yuanyuan Yu, Yiping Ke, Yimao Wan

TOPCon (tunnel oxide passivated contact) solar cell is the mainstream high-efficiency crystalline silicon solar cell structure. However, the lack of efficient passivation contact mechanisms on the front surface restricts the electrical performance ability to improve further. Selective emitter (SE) technology, considered a potential solution, needs to be more mature. This work provides a unique thermal pre-diffusion approach combined with laser treatment and post-oxidation annealing to create SE structures in TOPCon solar cells. Times for the high-temperature process are equivalent to those for a traditional homogenous emitter. The innovative thermal pre-diffusion process created a unique boron doping profile, achieving a high surface concentration of nearly 1 × 1020 cm−3 with a shallow junction depth of approximately 0.25 μm. Laser treatment further activated boron and facilitated its diffusion, influenced by the boron silicate glass layer and surface boron atoms. Adjustments were made to improve the pre-diffusion recipe, including an additional boron deposition step, increasing non-activated boron atoms. Introducing larger pyramidal microstructures also improved the junction depth and surface concentration in the heavily doped region. Compared to homogeneous emitters, the SE structures exhibited lower surface concentration in the lightly doped region, reducing the recombination current density in the passivation region J0,pass values. The SE structures achieved higher junction depths, limiting metal atom diffusion and reducing the current recombination density in the metal contact region J0,metal values. The contact resistivity between metal and silicon was also decreased. Overall, introducing SE structures resulted in a batch-average efficiency improvement of 0.26%, reaching an average efficiency of 25.22% for TOPCon solar cells, and has industrial mass-producible.

TOPCon(隧道氧化物钝化接触)太阳能电池是目前主流的高效晶体硅太阳能电池结构。然而,由于前表面缺乏有效的钝化接触机制,限制了进一步提高电性能的能力。选择性发射极(SE)技术被认为是一种潜在的解决方案,但需要更加成熟。这项工作提供了一种独特的热预扩散方法,结合激光处理和氧化后退火,在 TOPCon 太阳能电池中创建 SE 结构。高温工艺所需的时间与传统的均质发射器相当。创新的热预扩散工艺产生了独特的硼掺杂曲线,实现了近 1 × 1020 cm-3 的高表面浓度和约 0.25 μm 的浅结深度。受硅酸硼玻璃层和表面硼原子的影响,激光处理进一步激活了硼并促进了硼的扩散。为了改进预扩散配方,我们进行了调整,包括增加硼沉积步骤,以增加非活化硼原子。引入更大的金字塔微结构也改善了重掺杂区域的结深和表面浓度。与均质发射极相比,SE 结构在轻掺杂区的表面浓度较低,从而降低了钝化区的重组电流密度 J0、pass 值。SE 结构的结深较高,限制了金属原子的扩散,降低了金属接触区 J0,metal 值的重组电流密度。金属和硅之间的接触电阻率也有所降低。总之,引入 SE 结构后,批量平均效率提高了 0.26%,TOPCon 太阳能电池的平均效率达到 25.22%,并可实现工业化大规模生产。
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引用次数: 0
Open-source photovoltaic model pipeline validation against well-characterized system data 根据特征明确的系统数据对开源光伏模型管道进行验证
IF 6.7 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2023-12-20 DOI: 10.1002/pip.3763
Lelia Deville, Marios Theristis, Bruce H. King, Terrence L. Chambers, Joshua S. Stein

All freely available plane-of-array (POA) transposition models and photovoltaic (PV) temperature and performance models in pvlib-python and pvpltools-python were examined against multiyear field data from Albuquerque, New Mexico. The data include different PV systems composed of crystalline silicon modules that vary in cell type, module construction, and materials. These systems have been characterized via IEC 61853-1 and 61853-2 testing, and the input data for each model were sourced from these system-specific test results, rather than considering any generic input data (e.g., manufacturer's specification [spec] sheets or generic Panneau Solaire [PAN] files). Six POA transposition models, 7 temperature models, and 12 performance models are included in this comparative analysis. These freely available models were proven effective across many different types of technologies. The POA transposition models exhibited average normalized mean bias errors (NMBEs) within ±3%. Most PV temperature models underestimated temperature exhibiting mean and median residuals ranging from −6.5°C to 2.7°C; all temperature models saw a reduction in root mean square error when using transient assumptions over steady state. The performance models demonstrated similar behavior with a first and third interquartile NMBEs within ±4.2% and an overall average NMBE within ±2.3%. Although differences among models were observed at different times of the day/year, this study shows that the availability of system-specific input data is more important than model selection. For example, using spec sheet or generic PAN file data with a complex PV performance model does not guarantee a better accuracy than a simpler PV performance model that uses system-specific data.

根据新墨西哥州阿尔伯克基的多年实地数据,对 pvlib-python 和 pvpltools-python 中所有免费提供的阵列平面(POA)换位模型和光伏温度与性能模型进行了检验。这些数据包括由晶体硅模块组成的不同光伏系统,其电池类型、模块结构和材料各不相同。这些系统已通过 IEC 61853-1 和 61853-2 测试进行了表征,每个模型的输入数据均来自这些特定系统的测试结果,而不是考虑任何通用输入数据(如制造商规格表或通用 Panneau Solaire [PAN] 文件)。本比较分析包括 6 个 POA 换位模型、7 个温度模型和 12 个性能模型。这些免费提供的模型在许多不同类型的技术中都被证明是有效的。POA 换位模型的平均归一化平均偏差误差 (NMBE) 在 ±3% 以内。大多数光伏温度模型都低估了温度,显示的平均残差和中位残差从 -6.5°C 到 2.7°C;当使用瞬态假设而非稳态假设时,所有温度模型的均方根误差都有所减少。性能模型表现类似,第一和第三四分位数均方根误差在 ±4.2% 以内,总体平均均方根误差在 ±2.3% 以内。虽然在一天/一年中的不同时间观察到了不同模型之间的差异,但这项研究表明,系统特定输入数据的可用性比模型选择更为重要。例如,与使用特定系统数据的简单光伏性能模型相比,使用规格表或通用 PAN 文件数据的复杂光伏性能模型并不能保证更高的精度。
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引用次数: 0
Dipoles and defects caused by CO2 plasma improve carrier transport of silicon solar cells 二氧化碳等离子体造成的偶极子和缺陷改善了硅太阳能电池的载流子传输
IF 6.7 2区 材料科学 Q1 ENERGY & FUELS Pub Date : 2023-12-19 DOI: 10.1002/pip.3761
Shenglei Huang, Yuhao Yang, Junjun Li, Kai Jiang, Xiaodong Li, Yinuo Zhou, Zhenfei Li, Guangyuan Wang, Qiang Shi, Jianhua Shi, Junlin Du, Anjun Han, Jian Yu, Fanying Meng, Liping Zhang, Zhengxin Liu, Wenzhu Liu

Carrier-selective contact is a fundamental issue for solar cells. For silicon heterojunction (SHJ) solar cells, it is important to improve hole transport because of the low doping efficiency of boron in amorphous silicon and the barrier stemming from valence band offset. Here, we develop a carbon dioxide (CO2) plasma treatment (PT) process to form dipoles and defect states. We find a dipole moment caused by longitudinal distribution of H and O atoms. It improves hole transport and blocks electron transport and thus suppresses carrier recombination. In the meantime, the CO2 PT process also results in defect states, which reduce passivation performance but improve hole hopping in the intrinsic amorphous layer. As a balance, an appropriate CO2 PT process at the i/p interface increases fill factor and power conversion efficiency of SHJ solar cells. We emphasize, based on sufficient evidences, this work finds a distinct role of the CO2 plasma in SHJ solar cells opposed to reported mechanisms.

载流子选择性接触是太阳能电池的一个基本问题。对于硅异质结(SHJ)太阳能电池来说,由于硼在非晶硅中的掺杂效率较低,且价带偏移会产生势垒,因此改善空穴传输非常重要。在此,我们开发了一种二氧化碳(CO2)等离子体处理(PT)工艺来形成偶极子和缺陷态。我们发现 H 原子和 O 原子的纵向分布会产生偶极矩。它改善了空穴传输,阻碍了电子传输,从而抑制了载流子重组。与此同时,CO2 PT 过程也会产生缺陷态,从而降低钝化性能,但改善本征非晶层中的空穴跳跃。作为一种平衡,在 i/p 界面采用适当的 CO2 PT 工艺可提高 SHJ 太阳能电池的填充因子和功率转换效率。我们强调,基于充分的证据,这项研究发现二氧化碳等离子体在 SHJ 太阳能电池中的作用与已报道的机制截然不同。
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引用次数: 0
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Progress in Photovoltaics
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