在城市环境中使用基于图像的阴影检测来估计车辆集成光伏的太阳能资源
Optics express
|October 20, 2023
概括
这项研究介绍了一种方法,通过分析街道图像来检测阴影来评估城市的车载集成光伏 (VIPV) 的太阳能. 它有助于优化驾驶路线以获得最大的太阳能收益,并提高VIPV性能.
科学领域:
- 可再生能源系统可再生能源系统
- 城市流动性 城市流动性
- 光伏技术 光伏技术
背景情况:
- 车载集成光伏 (VIPV) 由于动态遮阳,在城市太阳能资源估计方面面临挑战.
- 精确的太阳辐射评估对于优化VIPV能源发电至关重要.
研究的目的:
- 开发和介绍一种评估城市环境中的VIPV太阳能资源的方法.
- 为了能够计算太阳辐射,考虑阴影效应,并确定最佳的驾驶路线.
主要方法:
- 利用街道图像映射服务和障碍物检测算法来分析驾驶路线上的阴影条件.
- 通过考虑直接和分散的太阳辐射成分来计算太阳辐射量.
- 确定带有最小阴影的驾驶路线,以提高发电效率.
主要成果:
- 在动态的城市阴影条件下评估VIPV太阳能资源的新方法.
- 计算太阳辐射和识别能量最佳驾驶路线的能力.
- 改善最大功率点跟踪 (MPPT) 算法和VIPV性能评估的见解.
结论:
- 提出的方法为优化城市环境中的VIPV性能提供了一种实用工具.
- 它通过提高综合可再生能源系统的效率来支持可持续的流动性.
- 为未来开发和部署VIPV技术提供了有价值的数据.
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