A numerical study on aerofoil trailing edge noise and its reduction methods for the next-generation wind turbines

下一代风力机翼型后缘噪声及其降低方法的数值研究

• 批准号: 2075890
• 金额: --
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2075890
• 关键词: numerical; study; aerofoil; trailing; edge

The rapid growth of wind energy production in recent years has reached a stage where the aerodynamic noise emission from wind turbines is a critical issue to overcome in order to successfully continue increasing the scale of the turbines and reducing the cost of energy (CoE). The fundamental principle to tackle the aerodynamic noise issue is to design the turbine blades in such a way that the source of noise is alleviated without changing the aerodynamic efficiency of the blades that is critical for CoE. One of the most effective ways to achieve such a noise-noise blade design is to use "serrations" on the trailing-edge of the blades from which the noise emission is strongest (at an operating condition). Vestas (one of the largest wind-turbine manufacturers in the globe) has been successful in developing blades with serrated trailing-edges (STEs) in recent years and they are in service now. However, the research on STEs is still underdeveloped and there are various areas where STEs should be better understood and improved upon what they are at present. Vestas aims to make a major breakthrough in the development of STEs within the next a few years in order to successfully implement the technology in their next-generation wind turbines.The proposed PhD project at the University of Southampton is part of the Vestas multidisciplinary programme for the development of next-generation STEs. This particular PhD project aims to achieve detailed understandings of the physical mechanisms of the noise generation and its reduction due to the STEs, and to derive a semi-empirical engineering model that provides predictions of the noise reduction through the STEs for various geometries and flow conditions. The project will be carried out mainly based on numerical simulations (large-eddy simulations) and some mathematical derivations for the prediction model. The large-eddy simulations will be performed by using an in-house code CANARD (Compressible Aerodynamic & Aeroacoustic Research coDe) developed at the University of Southampton. The code is based on high-order finite-difference methods and is fully parallelised on an MPI platform (running on the national supercomputer ARCHER as well as the local IRIDIS-4 cluster with a supra-linear scalability with up to 10,000+ processor cores). Some more relevant information about the computational work can be found in https://doi.org/10.1017/jfm.2016.841.

近年来，风能生产的快速增长已经达到了一个阶段，其中来自风力涡轮机的空气动力学噪声排放是要克服的关键问题，以便成功地继续增加涡轮机的规模并降低能量成本（CoE）。解决空气动力学噪声问题的基本原则是设计涡轮机叶片，使得在不改变叶片的空气动力学效率的情况下减轻噪声源，而这对于CoE至关重要。实现这种噪声-噪声叶片设计的最有效的方法之一是在叶片的后缘上使用“锯齿”，从该后缘发出的噪声最强（在操作条件下）。维斯塔斯（地球仪最大的风力涡轮机制造商之一）近年来成功地开发了锯齿形后缘（STE）叶片，目前已投入使用。然而，对科技型企业的研究还不发达，有许多领域需要更好地理解和改进。维斯塔斯的目标是在未来几年内在STE的开发方面取得重大突破，以便在下一代风力涡轮机中成功实施该技术。拟议中的南安普顿大学博士项目是维斯塔斯开发下一代STE的多学科计划的一部分。这个特殊的博士项目的目的是实现噪声产生的物理机制的详细理解和减少由于STE，并推导出一个半经验的工程模型，通过STE为各种几何形状和流动条件提供降噪的预测。该项目将主要基于数值模拟（大涡模拟）和预测模型的一些数学推导进行。大涡模拟将使用南安普顿大学开发的内部代码CANARD（可压缩空气动力学和航空声学研究代码）进行。该代码基于高阶有限差分方法，并在MPI平台上完全并行化（在国家超级计算机ARCHER以及本地IRIDIS-4集群上运行，具有超线性可扩展性，最多可达10，000+处理器内核）。有关计算工作的更多相关信息可以在https://doi.org/10.1017/jfm.2016.841中找到。