开发和优化红色光谱分割的集中型农电系统,用于能源发电和可持续农业
Ngoc-Hai Vu1, Tran Quoc Tien2, Ngoc-Minh Kieu3
1Faculty of Electrical and Electronics Engineering, Phenikaa University, Hanoi, Vietnam.
PloS one
|September 22, 2025
概括
一个新的红光谱分裂缩农电压 (RSSCA) 系统提高了作物产量和发电量. 这种创新的太阳能技术优化了植物和能量捕获的光线,解决了食品和能源之间的冲突.
科学领域:
- 农业科学 农业科学
- 可再生能源工程可再生能源工程
- 光伏技术的光伏技术
背景情况:
- 农业用地面临太阳能基础设施的压力,造成粮食能源冲突.
- 传统的光伏 (PV) 系统可以减少由于遮阳的作物产量.
- 优化光线条件对于光合作用和作物生产率至关重要.
研究的目的:
- 引入和评估一个红色光谱分裂缩农电压 (RSSCA) 系统.
- 克服共享农业用地的传统光伏系统的局限性.
- 同时提高粮食生产和能源生产.
主要方法:
- 使用弗雷内尔透镜和二重体镜来测量太阳辐射度和光谱分裂.
- 传输的红光 (约. 630纳米) 用于种植大米,以及用于太阳能电池的其他波长.
- 采用光学模拟和分析建模来评估系统性能.
主要成果:
- 实现了 31.2% 的光电转换效率.
- 在高阳光地区 (河内,胡志明市) 为大米提供足够的每日光线积分 (DLI).
- RSSCA系统的发电量是传统光伏发电量的3-5倍,光线均性更高,土地利用效率更高.
结论:
- RSSCA系统是热带/亚热带地区双重粮食和能源生产的可行解决方案.
- 优化光谱管理对作物生长和太阳能转化都有好处.
- 系统性能取决于区域阳光的可用性,特别是直接阳光水平.
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