Perez Larissa, Cossu Remo, Grinham Alistair, Penesis Irene
School of Civil Engineering, University of Queensland, Brisbane, QLD 4072, Australia.
Australian Maritime College, University of Tasmania, Hobart, TAS 7250, Australia.
Data Brief. 2022 Jun 1;43:108336. doi: 10.1016/j.dib.2022.108336. eCollection 2022 Aug.
Sites with great potential for electricity generation from tidal stream energy are often characterized by high levels of turbulence and severe wave climates. These characteristics are known to substantially increase turbine blade loadings fluctuations, which may lead to premature device failure and blade fatigue. In order to be commercially competitive, tidal energy devices must function in turbulent environments for approximately 25 years without requiring major maintenance operations. Hence, knowledge of turbulence parameters prior to device deployment is crucial to avoid unnecessary costs with overengineering and maintenance. Aiming to support the development of tidal energy in Australia, the Tidal Energy in Australia (AUSTEn) Project identified two sites with potential for tidal energy: Banks Strait, Tasmania and Clarence Strait, Northern Territory. The datasets presented here reveal high-frequency current velocity measurements taken throughout the water column with Nortek Signature new generation Acoustic Doppler Current Profilers (AD2CPs) at one measurement station in Banks Strait and two in Clarence Strait. Measurement periods are between 2 and 3 months, which are significantly long deployment periods for turbulence characterization in tidal energy sites compared to other datasets available in the literature. Processing steps include the removal of bad quality data points using the manufacturer's software Ocean Contour, considering low correlation, side lobe interference and high amplitude spikes. These data have been used by Perez et al.(2021) to calculate turbulent kinetic energy (TKE), turbulence intensity (TI), Reynolds stresses, integral length scales, TKE dissipation and production rates as well as to discuss wave-turbulence interaction and the application of decomposition methods. In the dataset collected in Banks Strait, velocity fluctuation enhancements caused by wave orbital velocities were mitigated using the Synchrosqueezing Wavelet Transform (SWT) decomposition method. Turbulence estimates were organized by month and are revealed in the post-processed data files. Here we provide raw, processed and post-processed data files, which were made publicly available through the University of Queensland UQ eSpace repository. These datasets may be reused to further advance the understanding of turbulence and its impacts on tidal turbine performance as well as to help establish international guidelines for turbulence measurements in tidal energy site assessments.
具有巨大潮流能发电潜力的地点通常具有高度湍流和恶劣波浪气候的特点。众所周知，这些特性会大幅增加涡轮机叶片载荷的波动，这可能导致设备过早失效和叶片疲劳。为了在商业上具有竞争力，潮汐能设备必须在湍流环境中运行约25年而无需进行重大维护操作。因此，在设备部署之前了解湍流参数对于避免因过度设计和维护而产生的不必要成本至关重要。为了支持澳大利亚潮汐能的发展，澳大利亚潮汐能（AUSTEn）项目确定了两个具有潮汐能潜力的地点：塔斯马尼亚的班克斯海峡和北领地的克拉伦斯海峡。此处呈现的数据集揭示了在班克斯海峡的一个测量站和克拉伦斯海峡的两个测量站，使用诺泰克Signature新一代声学多普勒电流剖面仪（AD2CPs）在整个水柱中进行的高频流速测量。测量周期为2至3个月，与文献中可用的其他数据集相比，这对于潮汐能地点的湍流特征而言是显著较长的部署周期。处理步骤包括使用制造商的软件Ocean Contour去除质量不佳的数据点，考虑低相关性、旁瓣干扰和高振幅尖峰。佩雷斯等人（2021年）已使用这些数据来计算湍动能（TKE）、湍流强度（TI）、雷诺应力、积分长度尺度、TKE耗散率和生产率，以及讨论波 - 湍流相互作用和分解方法的应用。在班克斯海峡收集的数据集中，使用同步挤压小波变换（SWT）分解方法减轻了由波轨道速度引起的速度波动增强。湍流估计按月整理，并在后处理数据文件中显示。在这里，我们提供了原始、处理和后处理数据文件，这些文件通过昆士兰大学UQ eSpace存储库公开提供。这些数据集可被重新使用以进一步推进对湍流及其对潮汐涡轮机性能影响的理解，并有助于建立潮汐能场地评估中湍流测量的国际准则。
