Alamgeer, Muhammad Quddamah Khokhar, Hasnain Yousuf, Rafi Ur Rahman, Polgampola Chamani Madara, Mengmeng Chu, Muhammad Tahir, Sangheon Park, Junsin Yi
{"title":"Improved passivation and antireflection techniques for higher-efficiency Interdigitated Back Contact (IBC) solar cells","authors":"Alamgeer, Muhammad Quddamah Khokhar, Hasnain Yousuf, Rafi Ur Rahman, Polgampola Chamani Madara, Mengmeng Chu, Muhammad Tahir, Sangheon Park, Junsin Yi","doi":"10.1007/s10825-025-02289-3","DOIUrl":null,"url":null,"abstract":"<div><p>In this article, we simulated the Interdigitated Back Contact (IBC) solar cell using Quokka3 simulation, highlighting a detailed approach to front and back passivation and sheet resistance that significantly enhances cell performance. The antireflective coating (ARC) and the front passivation layer, after fine-tuning variation of recombination current density <i>J</i><sub>0</sub> (fA/cm<sup>2</sup>), dictate the recombination losses at these interfaces, therefore playing a critical role on cell efficiency. The rear passivation layer complements the front in mitigating recombination to optimize light capture within the silicon wafer. When the emitter fraction is approximately 40% at 100 Ω/Sq, the rear boron sheet resistance showed the enhanced <i>V</i><sub>oc</sub>, <i>J</i><sub>sc</sub>, FF, and η as 719.2 mV, 41.66 mA/cm<sup>2</sup>, 84.71%, and 25.2%. These results demonstrate how <i>J</i><sub>0</sub> and rear boron area variability, influenced by both front and back passivation, affects the FF and η of the IBC cell. Furthermore, variations in the bulk lifetime of crystalline silicon (c-Si), resistivity of the wafer, and rear boron sheet resistance (<i>R</i><sub>sh</sub>) offer pathways to improve overall cell performance.</p></div>","PeriodicalId":620,"journal":{"name":"Journal of Computational Electronics","volume":"24 2","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Electronics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10825-025-02289-3","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, we simulated the Interdigitated Back Contact (IBC) solar cell using Quokka3 simulation, highlighting a detailed approach to front and back passivation and sheet resistance that significantly enhances cell performance. The antireflective coating (ARC) and the front passivation layer, after fine-tuning variation of recombination current density J0 (fA/cm2), dictate the recombination losses at these interfaces, therefore playing a critical role on cell efficiency. The rear passivation layer complements the front in mitigating recombination to optimize light capture within the silicon wafer. When the emitter fraction is approximately 40% at 100 Ω/Sq, the rear boron sheet resistance showed the enhanced Voc, Jsc, FF, and η as 719.2 mV, 41.66 mA/cm2, 84.71%, and 25.2%. These results demonstrate how J0 and rear boron area variability, influenced by both front and back passivation, affects the FF and η of the IBC cell. Furthermore, variations in the bulk lifetime of crystalline silicon (c-Si), resistivity of the wafer, and rear boron sheet resistance (Rsh) offer pathways to improve overall cell performance.
期刊介绍:
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.