在太阳能发电理论和实验模型中整合风流效应
M M Mundu1, J I Sempewo2, S N Nnamchi3
1Department of Electrical, Telecommunication and Computer Engineering, School of Engineering and Applied Sciences, Kampala International University, P. O. Box 20000, Kampala, Uganda. mundu.mustafa@kiu.ac.ug.
Scientific reports
|March 16, 2025
概括
当地风力流显著提高了乌干达的太阳能效率. 北部地区显示出最高的太阳能发电量,这表明新太阳能设施的最佳位置可以满足能源需求.
科学领域:
- 可再生能源系统可再生能源系统
- 环境建模环境建模
- 可持续的发电是可持续的发电.
背景情况:
- 可持续能源的需求不断增长,需要优化太阳能发电.
- 当地风流对太阳辐射和功率输出的影响是一个尚未探索的领域.
- 预测太阳能发电需要综合模型,考虑多种环境因素.
研究的目的:
- 开发一个差异模型来预测乌干达的太阳能发电.
- 研究太阳辐射和当地的风流对输出功率的综合影响.
- 根据环境因素,确定太阳能发电设施的最佳位置.
主要方法:
- 开发一个集成太阳辐射和风流数据的差异模型.
- 该模型在乌干达各个地区的应用.
- 在不同地区进行太阳能发电的数值分析.
- 根平均平方误差 (RMSE) 分析以验证模型准确性.
主要成果:
- 风力流量较高的地区显示,太阳能发电效率显著提高.
- 北部地区显示出最高的太阳能发电量,其次是东部,西部和中部地区.
- 使用RMSE的模型验证证实了准确性,为北方,中部和西部地区提供了特定的值.
结论:
- 考虑太阳辐射和风流的综合方法可以优化太阳能发电预测.
- 该研究确定了在高风,高太阳地区的太阳能设施的潜在最佳部署地点.
- 建议将能源从高发电区传输到低发电区,以改善分配.
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