物理
机械
领域(数学)
流量(数学)
涡轮机
纳维-斯托克斯方程组
水轮机
经典力学
航空航天工程
热力学
压缩性
工程类
数学
纯数学
作者
Xiuli Mao,Pengju Zhong,Zhenggui Li,Z. Liu,Jiaren Hu,Jiale Yan
摘要
The load regulation capability of hydropower station ensures power system efficiency and stability while supporting the development of renewable energy-integrated smart grids. Seeking a better way to study internal fluid characteristic and performance of turbine is a long-standing subject, numerical simulation demonstrates significant advantages due to its cost-effectiveness and fully visualization capabilities, with turbulence models playing a pivotal role in ensuring simulation precision. A dynamically defined MPANS (Modified Partially Averaged Navier Stokes) turbulence model is developed in this work by integrating considerations of real-time turbulence scale and mesh size. Comparative analyses between experimental data and numerical results reveal that the MPANS model exhibits a higher degree of agreement with experimental data. Compared with RNG (Renormalization Group) k-ε model, MPANS significantly reduces the maximum deviations in torque, efficiency, and water head. Under steady conditions, the vortex volumes captured in the runner and draft tube are increased by 18% and 126% with MPANS, respectively, relative to those predicted by the RNG k-ε model. Under load-increasing condition, the vortex volumes in the runner and draft tube show increases of approximately 6% and 87% with MPANS, respectively. Parameter like eddy viscosity is considered based on flow characteristic, MPANS demonstrates enhanced capability in resolving intricate details of vortex structure and offers a more comprehensive depiction of dynamic vortex evolution, under both steady and transient condition of Francis turbine.
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