Francis-99 workshop 1: Steady state operation

Francis-99 is the series of workshops that provided open data to the researchers worldwide. Hydraulic turbines play essential roles to mitigate the renewable energy demand. The design data of the turbine are rarely available due to confidentiality. The workshop series provides an unique opportunity to the researchers worldwide and provides the state-of-the-art measurement data with computational model. The data contains experimental results of the mode Francis turbine in the Waterpower laboratory, NTNU. The provided data can be used to define boundary conditions and validation of the computational fluid dynamic model. The data also contains the computational fluid dynamic model. The dataset corresponds to the first workshop of the Francis-99. The data includes both pressure measurements at selected locations in the turbine and velocity measurements in draft tube. Velocity was measured using PIV in the draft tube. The measurement data contains three operating points: (1) BEP - design load (2) part load and (3) high load. A potential user can use these data and validate the numerical simulation model. Detailed information about the data is available in the attached report.

Francis-99是一系列面向全球研究者开放数据共享的研讨会项目。水力涡轮机对于缓解可再生能源需求发挥着关键作用。出于保密考量，水轮机的设计数据通常难以对外获取。该研讨会系列为全球研究者提供了独特的研究契机，同时可提供兼具前沿性的实测数据与配套计算模型。本数据集包含挪威科技大学（Norwegian University of Science and Technology, NTNU）水利实验室中模型混流式水轮机（Francis turbine）的实验结果。所提供的数据可用于设定计算流体动力学（Computational Fluid Dynamics, CFD）模型的边界条件，并对该模型开展验证工作。数据集同时配套包含该计算流体动力学模型。本数据集对应Francis-99系列的首届研讨会。数据涵盖了水轮机选定位置的压力测量结果，以及尾水管内的流速测量数据：尾水管内的流速采用粒子图像测速法（Particle Image Velocimetry, PIV）完成测量。实测数据包含三个典型运行工况：（1）最佳效率点（Best Efficiency Point, BEP）——设计工况，（2）部分负荷工况，（3）高负荷工况。潜在使用者可依托这些数据对数值模拟模型进行验证。关于该数据集的详细信息可参阅随附的报告。