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.
{"title":"Wafer-bonded two-terminal III-V//Si triple-junction solar cell with power conversion efficiency of 36.1% at AM1.5g","authors":"Patrick Schygulla, Ralph Müller, Oliver Höhn, Michael Schachtner, David Chojniak, Andrea Cordaro, Stefan Tabernig, Benedikt Bläsi, Albert Polman, Gerald Siefer, David Lackner, Frank Dimroth","doi":"10.1002/pip.3769","DOIUrl":"https://doi.org/10.1002/pip.3769","url":null,"abstract":"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/cm<sup>2</sup>. 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.","PeriodicalId":223,"journal":{"name":"Progress in Photovoltaics","volume":"79 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139411083","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}
<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":"<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","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}
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.
{"title":"Predicting encapsulant delamination in photovoltaic modules bridging photochemical reaction kinetics and fracture mechanics","authors":"Kuan Liu, Patrick Thornton, Dagmar R. D'hooge, Reinhold H. Dauskardt","doi":"10.1002/pip.3771","DOIUrl":"10.1002/pip.3771","url":null,"abstract":"<p>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, <i>G</i><sub><i>c</i></sub>. 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 <i>G</i><sub><i>c</i></sub> 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 <i>G</i><sub><i>c</i></sub> 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 <i>G</i><sub><i>c</i></sub> 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 <i>G</i><sub><i>c</i></sub>. Model extensions to polyolefin elastomer- and silicone-encapsulants and their interfaces are also demonstrated.</p>","PeriodicalId":223,"journal":{"name":"Progress in Photovoltaics","volume":"32 5","pages":"317-329"},"PeriodicalIF":6.7,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139068040","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}
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.
{"title":"Toward efficient and industrially compatible fully textured perovskite silicon tandem solar cells: Controlled process parameters for reliable perovskite formation","authors":"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","doi":"10.1002/pip.3770","DOIUrl":"https://doi.org/10.1002/pip.3770","url":null,"abstract":"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 (<i>PCE</i>), 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 PbI<sub>2</sub> on the perovskite photoluminescence response. A good understanding of the perovskite growth on textured silicon enables the fabrication of a tandem device with a <i>PCE</i> > 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.","PeriodicalId":223,"journal":{"name":"Progress in Photovoltaics","volume":"71 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139068043","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}