Numerical prediction of wind turbine noise using large eddy simulation

使用大涡模拟的风力涡轮机噪声数值预测

• 批准号: 203459-2011
• 负责人: Lien, FueSang
• 金额: $ 3.57万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=569953
• 关键词: Numerical; prediction; wind; turbine; noise

Among the various sources of energy, wind energy represents a cleaner and more sustainable source of energy than those derived from either coal or fissile nuclear materials. Wind power is renewable and friendly to the surrounding environment (i.e., an "answer" to climate change and local/regional air pollution). However, the main disadvantage regarding wind power is its unreliability (viz., the wind is not always present with enough velocity to power a wind energy system) and noise pollution. In fact, the health effects arising from wind turbine noise are the source of much controversy. Setbacks for noise (defined as minimum horizontal separation distances between the base of a turbine and a noise receptor) are difficult to determine, because they are subjective rather than risk-based. It is against this background that a research program is put forward, in which advanced Computational Fluid Dynamics (CFD) algorithms based on a new adaptive mesh refinement (AMR) technique in conjunction with Large Eddy Simulation (LES) turbulence models will be developed. The LES solutions will be used to compute the thickness (monopole), loading (dipole) and quadrupole noise source terms in the Ffowcs, William and Hawkings (FWH) equation in order to predict far-field noise. To validate our numerical procedure, acoustic data (e.g., sound pressure level (SPL) vs. frequency) from cooling fan(s) and/or (scaled model) wind turbine(s) in different configurations (e.g., stand-alone, in serial and in parallel) will be measured in an anechoic chamber in the Energy Research Center at the University of Waterloo. This anechoic chamber requires refurbishment, and an accompanying NSERC RTI proposal will be submitted to acquire new acoustical foam, a data acquisition system, microphones and other accessories required to support the experimental program. The outcome of this proposal will be used to assist health researchers in answering questions such as what are the physiological effects (anxiety, tinnitus or hearing loss) of wind turbine noise.

在各种能源的来源中，风能代表了比煤炭或裂变核材料衍生的能源更清洁，更可持续的能源。风能对周围环境有校正和友好（即，对气候变化和地方/区域空气污染的“答案”）。但是，关于风能的主要缺点是它的不可靠性（即，风并不总是以足够的速度来为风能系统供电）和噪声污染。实际上，风力涡轮机噪声引起的健康影响是引起很多争议的根源。噪声的挫折（定义为涡轮机和噪声受体之间的最小水平分离距离）很难确定，因为它们是主观的，而不是基于风险的。在这种背景下，提出了一项研究计划，其中将开发基于新的自适应网格细化（AMR）技术以及大型涡流模拟（LES）湍流模型的高级计算流体动力学（CFD）算法。 LES溶液将用于计算FFOWC，William和Hawkings（FWH）方程中的厚度（单极），负载（偶极）和四极噪声源项，以预测远场噪声。为了验证我们的数值程序，从冷却风扇（S）和/或（缩放模型）中的声音数据（例如，声压水平（SPL）与频率）中的风力涡轮机（例如，串行，连续和平行）将在Wateroo o.Wateroo o o. Watero o o. Watero o o o o o. paterlo of Watero compers的贫民区中测量。这个无声室需要进行翻新，并将提交随附的NSERC RTI提案以获取新的声学泡沫，数据采集系统，麦克风和支持实验计划所需的其他附件。该提案的结果将用于帮助卫生研究人员回答风力涡轮机噪声的生理影响（焦虑，耳鸣或听力损失）等问题。