技术
- 无人机 - 多旋翼无人机
- 传感器 - 液位传感器
适用行业
- 电网
- 可再生能源
适用功能
- 维护
- 产品研发
用例
- 数字孪生
- 虚拟现实
关于客户
本案例研究中没有明确提及客户。然而,可以推断,客户将是涉及风力涡轮机设计、生产和运营的任何组织或实体。这可能包括风力发电技术公司、可再生能源提供商以及参与风力发电技术开发和监管的潜在政府机构或研究机构。客户会对这项研究感兴趣,因为它提供了改进风力涡轮机叶片的设计和效率的详细方法,可能会增加功率输出,降低维护成本,并总体降低风力发电的发电成本。
挑战
风力发电技术的增长趋势是通过增加转子直径来提高功率输出。然而,随着转子直径的增加,气动弹性效应在高效叶片的设计中变得越来越重要。对流体弹性联轴器的详细了解可以改进设计,产生更多电力,减少维护,并最终总体降低电力成本。当前的风力涡轮机设计实践使用 FAST 和 ADAMS 等桌面工程工具来提供有关涡轮机气动弹性行为的信息。然而,这些技术都有其自身的优点和缺点。生成风力涡轮机转子性能数据的一种不断发展的方法是使用计算流体动力学 (CFD)。
解决方案
在本研究中,提出了一种高保真计算流体动力学 (CFD) 方法,用于使用市售流动求解器 AcuSolve 对风力涡轮机叶片和转子进行全耦合流固耦合 (FSI) 模拟。使用模态叠加方法模拟完全耦合的流体/结构相互作用问题。这种技术被称为实用流体结构相互作用(或 P-FSI),需要结构的特征值和特征向量作为 CFD 模型的输入。提供此信息后,AcuSolve 能够独立计算响应润湿表面上的流体力的结构变形。此分析的起点是 13.2 MW 叶片设计的 CAD 模型。几何模型是根据构成叶片几何形状的指定翼型截面创建的。对于分析的 CFD 方面,使用简单的圆柱形实体区域创建转子周围的边界流体体积。
运营影响
数量效益
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