Model validation of hydrodynamic loads and performance of a full-scale tidal turbine using Tidal Bladed

Steven G. Parkinson, William J. Collier
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引用次数: 42

Abstract

This paper presents a comparison of predicted and measured performance and loading for the Alstom Ocean Energy’s 1 MW tidal turbine, DEEP-Gen IV, which was deployed at the European Marine Energy Centre (EMEC) in Orkney as part of the ReDAPT (Reliable Data Acquisition Platform for Tidal) project. The ReDAPT project was commissioned and co-funded by the Energy Technologies Institute.

Unsteady time domain simulations are conducted using DNV GL’s Tidal Bladed software. The hydrodynamic loads are computed using a blade-element formulation that accounts for flow blockage. The onset flow turbulence is described using a von Kármán velocity spectra and coherence functions. Length scales are determined from a site characterisation study using field measurements.

Machine data is processed and quality control filters applied to obtain measurement ensembles suitable for comparison with simulation outputs. Comparisons are made for electrical power, pitch angle and blade near-root bending moment. Good agreement is found between the simulated and measured flapwise near root-bending damage equivalent loads and load spectra. The stochastic blade load data is further analysed where it is found that the methodologies applied provide accurate predictions of machine fatigue loads due to turbulence.

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采用潮汐叶片的全尺寸潮汐水轮机水动力载荷及性能模型验证
本文介绍了阿尔斯通海洋能源公司的1兆瓦潮汐涡轮机DEEP-Gen IV的预测和测量性能和负载的比较,该涡轮机作为ReDAPT(潮汐可靠数据采集平台)项目的一部分部署在奥克尼的欧洲海洋能源中心(EMEC)。ReDAPT项目由能源技术研究所委托并共同资助。采用DNV GL的Tidal Bladed软件进行非定常时域仿真。水动力载荷的计算采用考虑水流阻塞的叶片-单元公式。用von Kármán速度谱和相干函数描述起流湍流。长度尺度是根据现场测量的现场特征研究确定的。对机器数据进行处理,并应用质量控制滤波器来获得适合与仿真输出进行比较的测量集合。对电功率、俯仰角和叶片近根弯矩进行了比较。模拟结果与实测结果吻合较好。进一步分析了随机叶片载荷数据,发现所采用的方法提供了由于湍流引起的机器疲劳载荷的准确预测。
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