矿太阳能电池中电流-电压特征的分析模型,包括批量和表面重组组合
1Department of Electrical and Computer Engineering, Concordia University, 1455 Boul. de Maisonneuve Ouest, Montreal, QC H3G 1M8, Canada.
Micromachines
|August 29, 2024
概括
表面重组通过影响载体配置和光电流,显著影响矿太阳能电池性能. 了解这些影响对于提高太阳能设备的电荷收集效率至关重要.
科学领域:
- 光伏和可再生能源科学.
- 半导体设备的物理.
- 用于能源应用的材料科学.
背景情况:
- 矿太阳能电池 (PSC) 对高效的太阳能转换有很大的前景.
- 表面重组是PSC中的关键损失机制,影响设备性能.
- 准确的载波动态建模对于优化PSC至关重要.
研究的目的:
- 研究表面重组对PSC载体形状和光电流的影响.
- 开发一个分析模型的光电流考虑批量和接口重组.
- 用实验数据验证模型并提取运输参数.
主要方法:
- 在漂移-扩散下解决电子和孔的连续性方程.
- 结合指数级载体生成配置和在散装和接口上的重组.
- 导出太阳能诱导的光电流的分析表达式.
- 将模型与已发表的实验数据相匹配.
主要成果:
- 表面重组速率强烈影响载体配置文件和光电流.
- 导出了光电流的分析表达式,考虑了再组合.
- 该模型准确地预测实验结果,验证了其预测能力.
- 模型装配提供了对接口和散装载荷运输参数的洞察力.
结论:
- 表面重组是限制PSC电荷收集效率的一个关键因素.
- 开发的分析模型为了解和优化PSC性能提供了有价值的工具.
- 该研究提供了一种方法来表征矿材料中的电荷传输特性.
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