RLT-WP3- D3.5 - Synthetic Load Spectra and Time Series Data

"The data set contains non-dimensional load spectra and time series dataset to assist future developers in tidal stream turbine design decisions, datasets available from different test setups have been collected and categorised. Based on the information available from these tests, 21 non-dimensional coefficients are proposed to make these test measurements independent from their turbine designs and flow conditions. The proposed non-dimensional variables take information both from the input measurements as well as internal forces calculated in this analysis based on static equilibrium linear equations, thus common test data, such as thrust and torque, are used to make this easily applicable for future tests. The load spectra and time series have been developed in relation to the tip speed ratio (TSR) of 10 tank tests. These normalised base datasets have successfully been correlated when compared to different datasets from both numerical models and commercial tests. All the non-dimensional coefficients and ratios are presented in both the time domain and the frequency domain for developers to not only consider static load cases but also dynamic loads that impact the fatigue life of the different key components of tidal turbines. The density distribution curves as well as the frequency spectra of these coefficients can be recreated with the produced datasets of this task, which have been stored in the Edinburgh DataShare portal."

本数据集包含无量纲载荷谱与时间序列数据集，旨在为潮汐流涡轮机（tidal stream turbine）的设计研发提供决策支撑。研究人员已收集不同测试装置下的可用数据集并完成分类整理。基于上述测试的公开信息，本文提出21个无量纲系数，可使测试测量结果脱离涡轮机设计与流动工况的约束。所提无量纲变量既纳入输入测量信息，也包含本分析中基于静力学平衡线性方程计算得到的内力；因此可直接复用推力、转矩等常规测试数据，便于未来测试场景快速适配应用。本数据集的载荷谱与时间序列均基于10项罐内试验的叶尖速比（tip speed ratio, TSR）构建。经对比验证，该标准化基础数据集与数值模型及商业测试所得的各类数据集均具备良好相关性。所有无量纲系数与比值均已按时域与频域形式呈现，以便研发人员不仅可考量静态载荷工况，还能分析影响潮汐流涡轮机各关键部件疲劳寿命的动态载荷。通过本任务生成的数据集，可复现上述系数的密度分布曲线与频谱特征，相关数据已存储于爱丁堡数据共享门户（Edinburgh DataShare portal）。