Optimal performances of a-Si:H/c-Si heterojunction silicon solar cells based on a statistical approach

IF 1.9 4区 工程技术 Q4 ENERGY & FUELS
Thanh Thuy Trinh, Cam Phu Thi Nguyen, Chi-Hieu Nguyen, Ngo Thi Thanh Giang, Phuong T. K. Nguyen, Junsin Yi, Vinh-Ai Dao
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Abstract

Finding the optimal condition from a wide range of cell fabrication conditions and design parameters is typically a time-consuming and cumbersome task. In this study, the combination of the Taguchi approach and Grey relational analysis was employed for optimization of the conversion efficiency of hydrogenated amorphous silicon/crystalline silicon heterojunction (a-Si:H/c-Si HJ) solar cells. With the help of the Taguchi method via an orthogonal array, the reconstruction of the impact of input parameters on single performance characteristics is still ensured while reducing the number of simulations by 99.8%. The simulated results suggested that the density of interfacial defects (Dit) plays a key role in obtaining a high open-circuit voltage (Voc) and fill factor (FF), respectively. Meanwhile, the emitter thickness is the dominant factor in achieving a high short-circuit current density (Jsc). As a result, these two factors dominate the conversion efficiency. Furthermore, the overall optimal condition is also obtained by the Grey relational analysis. The simplified HJ cell configuration using this optimal condition displayed the highest conversion efficiency of 25.86%, yielding a 2.25% absolute increase in efficiency compared to the initial condition. The results highlight the effectiveness of our proposed approach in reducing the number of experiments needed for cell optimization.
基于统计方法的a- si:H/c-Si异质结硅太阳能电池的最佳性能
从广泛的电池制造条件和设计参数中找到最佳条件通常是一项耗时且繁琐的任务。本研究将Taguchi方法与灰色关联分析相结合,对氢化非晶硅/晶体硅异质结(a-Si:H/c-Si HJ)太阳能电池的转换效率进行优化。通过正交阵列的Taguchi方法,在减少99.8%的模拟次数的同时,仍然保证了输入参数对单个性能特性的影响的重建。模拟结果表明,界面缺陷密度(Dit)分别对获得高开路电压(Voc)和填充因子(FF)起着关键作用。同时,发射极厚度是实现高短路电流密度(Jsc)的主要因素。因此,这两个因素主导着转换效率。通过灰色关联分析,得到了整体最优条件。在此优化条件下,简化后的HJ电池构型的转换效率最高,达到25.86%,比初始条件下的转换效率提高了2.25%。结果突出了我们提出的方法在减少细胞优化所需的实验次数方面的有效性。
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来源期刊
Journal of Renewable and Sustainable Energy
Journal of Renewable and Sustainable Energy ENERGY & FUELS-ENERGY & FUELS
CiteScore
4.30
自引率
12.00%
发文量
122
审稿时长
4.2 months
期刊介绍: The Journal of Renewable and Sustainable Energy (JRSE) is an interdisciplinary, peer-reviewed journal covering all areas of renewable and sustainable energy relevant to the physical science and engineering communities. The interdisciplinary approach of the publication ensures that the editors draw from researchers worldwide in a diverse range of fields. Topics covered include: Renewable energy economics and policy Renewable energy resource assessment Solar energy: photovoltaics, solar thermal energy, solar energy for fuels Wind energy: wind farms, rotors and blades, on- and offshore wind conditions, aerodynamics, fluid dynamics Bioenergy: biofuels, biomass conversion, artificial photosynthesis Distributed energy generation: rooftop PV, distributed fuel cells, distributed wind, micro-hydrogen power generation Power distribution & systems modeling: power electronics and controls, smart grid Energy efficient buildings: smart windows, PV, wind, power management Energy conversion: flexoelectric, piezoelectric, thermoelectric, other technologies Energy storage: batteries, supercapacitors, hydrogen storage, other fuels Fuel cells: proton exchange membrane cells, solid oxide cells, hybrid fuel cells, other Marine and hydroelectric energy: dams, tides, waves, other Transportation: alternative vehicle technologies, plug-in technologies, other Geothermal energy
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