一个快速比较模型,优化光伏电池板在收集太阳辐射的效率
1Faculty of Architecture, The University of Hong Kong, Hong Kong, China. baoyihe@connect.hku.hk.
Scientific reports
|August 14, 2024
概括
智能光追踪显著提高了太阳能收集的效率,与固定电池板相比,效率提高了63%以上. 这种太阳能比较模型 (SECM) 优化了光伏电池板的性能,特别是在高度地区.
科学领域:
- 可再生能源可再生能源是可再生能源.
- 太阳能发电工程 太阳能发电工程
- 光伏系统 光伏系统
背景情况:
- 关于太阳能电池阵列光效的理论研究有限.
- 实验确定最大的光伏电池板太阳能辐射收集能力是具有挑战性的.
研究的目的:
- 引入一个用户友好的太阳能比较模型 (SECM).
- 通过计算每日阳光持续时间变化来优化太阳辐射收集.
- 为了确定最佳的光伏面板倾斜角度,并评估智能光线跟踪的效率增长.
主要方法:
- 开发了一个太阳能比较模型 (SECM).
- 在太阳辐射收集模型中整合了每日阳光持续时间的变化.
- 计算了智能光追踪光伏电池板的最佳倾斜角度和效率提升.
主要成果:
- 阳光持续时间是光伏电池板对太阳辐射接收的关键因素.
- 智能光追踪在66°34'N和66°34'S之间的地区增加了63.55%至122.51%的收集太阳辐射.
- 智能光追踪的好处在高度地区更为明显,这是由于更长的,可变的阳光持续时间.
结论:
- SECM为太阳辐射收集和光伏电池板优化提供了理论基础.
- 智能光追踪在太阳能收集方面提供了显著的改进,超过了常见的预期.
- 优化面板倾斜角度和利用光追踪是最大化太阳能产量的关键.
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