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Frequency and Time Response Data presented in the publication: The Dynamic Coupling Between the Pulse Wake Mixing Strategy and Floating Wind Turbines

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4TU.ResearchData2023-04-25 更新2026-04-23 收录
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https://data.4tu.nl/datasets/507c8652-4aef-494e-8a73-3f3a68bb6b97/1
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资源简介:
Dear user,<br>This dataset contains the information required to make the frequency response functions and the time domain data as presented in https://doi.org/10.5194/wes-2022-115. Please be aware that the wind speed data set is quite large (~18 GB) and it takes some time to download and process it.Two read-me files briefly explain the data's content and how the Matlab scripts are set up.<br>When the folder containing the data is placed in the same folder location as that of the Matlab scripts, they should run without issue. When completed the scripts will produce the same figures as those used in the referenced paper.<br><strong>Background</strong>The data used in this work (and also uploaded) is generated using QBlade (https://qblade.org) which is developed and maintained by TU Berlin. They are also part of the Floatech Project of which this work is also a part. Due to the close collaboration between the two parties, various quality-of-life updates were implemented into QBlade during the process of generating data for this work. For this reason, the data is not presented in the same way, however, the underlying physic solver remained the same throughout the research process.<br>The data is generated using the NREL 5MW turbine mounted on the OC3 platform. The use of a standardized turbine and floater design allows for easier comparison between different designs.

尊敬的用户: 本数据集包含生成文献https://doi.org/10.5194/wes-2022-115中所示的频响函数与时域数据所需的全部信息。请注意,本数据集的风速数据体量较大(约18 GB),下载与处理均需耗费一定时长。本数据集附带两份自述文件,简要说明数据内容及Matlab脚本的配置方式。 将存放数据的文件夹与Matlab脚本置于同一目录下,脚本即可正常运行;运行完成后,将生成与参考文献论文中一致的图表。 **背景说明** 本研究中使用(同时上传至本数据集)的数据均通过QBlade(https://qblade.org)生成,该软件由柏林工业大学(TU Berlin)开发并维护。本研究同时也是浮式技术项目(Floatech Project)的组成部分。得益于双方的紧密协作,本研究在数据生成阶段为QBlade引入了多项用户体验优化更新。正因如此,本数据集的数据呈现方式有所调整,但在整个研究过程中,底层物理求解器始终保持一致。 本数据集采用搭载于OC3平台的美国国家可再生能源实验室(National Renewable Energy Laboratory,NREL)5兆瓦风力涡轮机生成数据。采用标准化涡轮机与浮体设计,可便于不同设计方案之间的对比分析。
创建时间:
2023-04-25
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