An approach to the characterisation of the performance of a tidal stream turbine
An approach to the characterisation of the performance of a tidal stream turbine
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DOI：
10.1016/j.renene.2017.05.010
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发表时间：
2017-10
期刊：
影响因子：
8.7
通讯作者：
Matthew Allmark;R. Grosvenor;P. Prickett
中科院分区：
文献类型：
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作者：
Matthew Allmark;R. Grosvenor;P. Prickett
为了更好地管理和维护部署的潮汐流涡轮机（TST）设备，必须建立其对复杂和严重负载的响应机制。为了帮助这个过程中的研究提出了详细的方法映射TST的操作数据，采取各种操作条件下，一组模型参数。参数集是根据TST转子扭矩模型开发的，该模型提供了表征涡轮机行为的方法，可用于以最小的计算费用创建TST模拟。该模型的使用，以促进参数表面映射证明通过其应用程序的一组转子扭矩测量的1/20规模TST在水槽测试。然后，将该模型用于重建已知的转子行为，并将其与原始的基于水槽的测量结果进行比较。这是一种灵活的工具，可用于在无法使用基于油箱的实验轻易复制的条件下研究涡轮机性能。此外，这些条件的计算流体动力学模拟可能是耗时的并且计算昂贵。为此，使用该模型在创建基于模拟的传动系统试验台。该模型可以实时计算，用于在水槽实验期间无法实现的高湍流强度水平下开发代表性涡轮机模拟。其目的是提供一个试验台，用于在更现实的、现场特定条件下进行未来涡轮机性能监测。这项工作还将支持在实际涡轮机应用中部署性能表面。
In order to better manage and maintain deployed Tidal Stream Turbine (TST) devices their response to complicated and severe loading mechanisms must be established. To aid this process the research presented details a methodology for mapping TST operational data, taken under a variety of operating conditions, to a set of model parameters. The parameter sets were developed based on a TST rotor torque model which, as well as providing means of characterising turbine behaviour, can be used to create TST simulations with minimal computation expense. The use of the model in facilitating parameter surface mapping is demonstrated via its application to a set of rotor torque measurements made of a 1/20th scale TST during flume testing. This model is then deployed to recreate the known rotor behaviour which is compared with the original flume based measurements. This is a flexible tool that can be applied to investigate turbine performance under conditions that cannot be readily replicated using tank-based experiments. Furthermore, Computational Fluid Dynamics simulations of such conditions could be time consuming and computationally expensive. To this end, the use of the model in creating drivetrain test bed based simulations is demonstrated. The model, which can be calculated in real-time, is used to develop representative turbine simulations at high turbulence intensity levels which were not achievable during flume experimentation. The intention is to provide a test-bed for future turbine performance monitoring under more realistic, site specific conditions. The work will also support the deployment of performance surfaces in real-life turbine applications.