在冈比亚使用修改的韦布尔和罗利分布模型参数方法对风能潜力的技术分析
Tyoyima John Ayua1, Moses Eterigho Emetere2,3
1Department of Physical and Natural Sciences, University of the Gambia, Brikama Campus, Gambia.
Heliyon
|October 9, 2023
概括
本研究使用韦布尔和罗利分布评估了冈比亚的风能潜力. 结果表明,在Yundum和Basse地区风能发电的潜力很高,而Weibull模型在Yundum更适合.
科学领域:
- 可再生能源可再生能源是可再生能源.
- 环境科学 环境科学
- 大气科学 大气科学
背景情况:
- 风能是日益增长的可再生资源,因为它的环境效益和可用性.
- 准确的风力分布数据对于有效的风力轮机安装和能源评估至关重要.
- 冈比亚具有风能采集的潜力,需要进行详细的特定地点分析.
研究的目的:
- 评估冈比亚Yundum和Basse地区的风能潜力.
- 为了比较Weibull和Raleigh分布在风特征建模中的性能.
- 引入一种新的方法,将能量模式因子和参数估计的标准偏差结合起来.
主要方法:
- 收集和分析了来自Yundum和Basse的风力数据.
- 应用Weibull和Raleigh分布函数来建模风速特征.
- 利用一种新的方法,将能量模式因子和标准偏差集成为参数估计.
主要成果:
- 对于Yundum的形状参数在4.88至6.98之间;对于Basse,3.87至6.15.
- 韦布尔尺度的参数为6.6010.58米/秒 (Yundum) 和4.518.69米/秒 (Basse).
- 风力发电密度达到了139718W/m2 (Yundum) 和46390W/m2 (Basse),这表明有很大的潜力.
结论:
- 云德和巴斯都显示出风能发电的巨大潜力.
- 韦布尔分布提供了一个更好的适合Yundum的风数据.
- 拉利分布更适合Basse,特别是用于风力发电潜力计算.
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