使用大模拟和动态适应性网状精细化实体风力轮机的唤醒建模和模拟
Leandro J L Stival1, Joshua R Brinkerhoff1, Fernando O DE Andrade2
1University of British Columbia, 3333 University Way, Kelowna, BC V1V 1V7, Canada.
Anais da Academia Brasileira de Ciencias
|October 22, 2025
概括
大埃迪模拟 (LES) 准确地模拟了风力轮机的清醒和发电. 这项研究为优化风能效率提供了关键数据,特别是在轮机阵列中.
科学领域:
- 可再生能源系统可再生能源系统
- 计算流体动力学 (CFD) 是一种计算流体动力学.
- 空气动力学 航空动力学
背景情况:
- 风能是一个快速增长的行业,具有显著的全球潜力.
- 计算流体动力学的进步对于模拟真实规模风力轮机至关重要.
- 了解轮机产生的清醒时间及其对效率的影响对于风电场设计至关重要.
研究的目的:
- 将大模拟 (LES) 应用于一个全尺寸的NREL 5MW风力轮机.
- 为了研究风力轮机唤醒,风力轮机相互作用,以及轮机阵列中的唤醒效应.
- 分析空间和时间流域信息,以提高能源生产效率.
主要方法:
- 使用大模拟 (LES) 采用块结构,动态精细的网格.
- 模拟了一个完整的NREL 5MW风力轮机.
- 将模拟结果与现有的数值数据和NREL实验数据进行比较.
主要成果:
- 与之前的研究相比,模拟显示近期的恢复速度较低,这归因于几何简化.
- 大多数模拟配置文件与其他数值结果相比,差异不到10%.
- 当与NREL实验数据进行验证时,发电预测的差异约为3.5%.
结论:
- LES是一个可行的工具,可以提供大型风力轮机周围的详细流场信息.
- 这项研究验证了LES的准确性,用于预测风力轮机的性能和唤醒特征.
- 这些发现有助于更好地理解和优化风能生产效率,特别是在轮机阵列中.
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