使用人工蜂鸟算法和基于二维有限差异模型的光伏电池板的合热电行为的模拟和建模方法
Radouane Aalloul1,2, Abdellah Elaissaoui2, Assia Harkani2
1Laboratory of Engineering and Materials (LIMAT), Faculty of Sciences, Ben M'Sick Hassan II University of Casablanca, Casablanca, 20000, Morocco.
Heliyon
|March 22, 2024
概括
本研究提出了一种用于光伏 (PV) 面板温度的新型模拟模型,将电气和热方面联系起来. 经过验证的模型准确地预测了光伏电池板的性能,这对能源系统至关重要.
科学领域:
- 可再生能源工程可再生能源工程
- 计算物理 计算物理
- 材料科学 材料科学 材料科学
背景情况:
- 精确的光伏 (PV) 面板温度估计对于评估电气和热性能至关重要.
- 现有的模型可能缺乏全面分析所需的综合方法.
研究的目的:
- 开发和验证用于精确的光伏面板温度估计的先进模拟方法.
- 为了整体性能评估,将双二极管电模型与2D有限差异热模型结合起来.
主要方法:
- 使用人工蜂鸟算法对双二极管 (DD) 电气模型的参数提取.
- 对三种光伏技术的文献数据进行电气子模型的验证 (相对误差约2%).
- 结合电气和热模型,并使用薄膜光伏,传感器和红外成像在现场实验来验证集成系统.
主要成果:
- 在不同光伏技术中,电气子模型验证显示了高准确度 (≈2%的相对误差).
- 结合的模拟和实验结果显示出强烈的对齐,最大相对误差为2%.
- 由于材料校准不确定性和外部环境干扰,造成的小差异.
结论:
- 开发的整体模拟模型准确地估计了光伏电池板的温度和性能.
- 该模型显示了推动光伏系统研发的巨大潜力.
- 为了更广泛的适用性,建议在不同季节进行进一步的验证.
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