Development of novel met-ocean analytical techniques to characterise turbulence.

开发新颖的气象海洋分析技术来表征湍流。

• 批准号: 2274786
• 金额: --
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2274786
• 关键词: Development; novel; met; ocean; analytical

One of the biggest challenges to tidal power development is the high cost attributable to conservative engineering of tidal energy converters (TEC's)1. This is due to a lack of understanding of tidal flows and in particular, of turbulence at high energy sites. Turbulence is known to affect turbine loading and power performance, however properly quantifying these effects remains a challenge.Tidal site characterisation is usually based on methods inherited from the wind energy industry.2 However, this is not appropriate for tidal flows due to a number of differences such as: boundary layer considerations, blade sizes relative to the channel and additional complexities introduced by wave-current interactions, bathymetry and coastline geometries. Many wind turbulence models either have not been properly validated for tidal applications or have been found to be inadequate3.To date, there have been few large-scale, operational TEC's to provide data, and due to the complex and chaotic nature of turbulent motion, simulations and modelling are challenging. The recent TEC's being tested in the field provide an opportunity for industry and academia to collaborate and use the field data to develop better methods for tidal turbulence characterisation.This project will be carried out in collaboration with two industrial partners (EMEC and Orbital) and three universities (Edinburgh, Strathclyde and Exeter). The aim is to develop improved analytical methods for characterising tidal turbulence, using field data from Orbital's floating tidal turbine and other available datasets. The effects of turbulence on TEC loading and the sensitivities of various turbulence parameters will be analysed. Synchronous operational turbine data will be analysed to develop methods of relating turbine loads and power output to flow fluctuations and hence to turbulence parameters.

潮汐能开发的最大挑战之一是潮汐能转换器（TEC）的保守工程造成的高成本1。这是由于缺乏对潮汐流的了解，特别是对高能量场所的湍流的了解。众所周知，湍流会影响涡轮机的负载和功率性能，但是，正确量化这些影响仍然是一个挑战。潮汐场地特性通常基于风能行业继承的方法。2但是，由于存在许多差异，这不适用于潮汐流，例如：边界层考虑、相对于通道的叶片尺寸以及波流相互作用引起的额外复杂性，水深测量和海岸线几何形状。许多风湍流模型要么没有经过潮汐应用的适当验证，要么被发现是不充分的。迄今为止，几乎没有大规模的、可操作的TEC提供数据，并且由于湍流运动的复杂性和混沌性，模拟和建模是具有挑战性的。最近在该领域进行测试的TEC为工业界和学术界提供了一个合作机会，并利用现场数据开发更好的潮汐湍流表征方法。该项目将与两个工业合作伙伴（EMEC和Orbital）和三所大学（爱丁堡、斯特拉斯克莱德和埃克塞特）合作进行。其目的是利用轨道公司的漂浮潮汐涡轮机和其他现有数据集的现场数据，开发出表征潮汐湍流的改进分析方法。将分析湍流对TEC负载的影响以及各种湍流参数的敏感性。将对同步运行涡轮机数据进行分析，以开发将涡轮机负载和功率输出与流量波动以及湍流参数相关联的方法。