Loads experienced by a Francis turbine during short and fast transient under part load operation

混流式水轮机 瞬态(计算机编程) 物理 机械 背景(考古学) 涡轮机 尾水管 甩负荷 控制理论(社会学) 热力学 计算机科学 地质学 操作系统 古生物学 人工智能 控制(管理)
作者
Zhou Xing,Xiangyu Dai,Quanshui Huang,Xiaodan Tang,Zhipeng Bai,Michel J. Cervantes
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:36 (8) 被引量:3
标识
DOI:10.1063/5.0217373
摘要

As hydropower is integrated into the renewable energy system, the turbine components are liable to many loads variation for regulation. The loads experienced under transient operation need to be accounted for and understood to develop adequate mitigation technique and strategies. To identify possible risks occurring during such short and fast transients, we investigate the nonlinear growth and time delay effects of pressure fluctuations, as well as the unsteady flow field evolution for a Francis turbine under load reduction in the part load regime. A two-stage transient process analytical framework is proposed via signal processing and vortex identification methods, including main transient and post-transient stages. In the main transient stage, the dominant frequency of pressure fluctuations within the draft tube shifts from 0.32·fn to 0.24·fn, accompanied by a fivefold increase in the amplitude. Furthermore, low-frequency pressure fluctuations in a wider range are identified (0–2·fn), source of possible resonance of power plant structures. The maximum pressure is reached in the post-transient stage after the end of the guide vane closure and is 50% larger than the maximum value in the main transient stage. When comparing the two components of pressure fluctuations within the draft tube, the synchronous component increases slowly but reaches the peak faster, which can be explained by the evolution of instantaneous vortex structure investigated with proper orthogonal decomposition. The findings are useful to ascertain possible risk factors along with the investigation of the evolution of non-stationary flow field in the context of frequent turbine load variations.
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