利用各向异性湍流模型的CFD模拟获取水轮机s形

E. Casartelli, L. Mangani, A. D. Rı́o, A. Schmid
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引用次数: 3

摘要

水泵涡轮机具有很高的运行灵活性和存储能力,能够很好地满足现代电力市场的需求。然而,根据特征的形状,这些机器的动态操作可能导致非常具有挑战性的瞬态条件。机械完整性也会受到相应的影响。因此,在设计阶段,即模型试验之前,对特性进行评估是至关重要的。在过去的几年中,使用RANS CFD进行了不同的尝试,以准确计算稳定(即定点)和瞬态条件下的特性。虽然海温湍流模型已成为机械设计的参考,但在接近或接近不稳定的条件下,它往往失效。它的强度,以准确预测分离接近声音条件(即轻度部分和过载)没有更多的帮助。在以连续非定常涡形成为特征的不稳定条件下,线性双方程模型所假定的湍流各向同性不再是正确的选择。因此,能够捕获各向异性的湍流模型EARSM(显式代数雷诺应力模型)已经在内部代码中实现,并用于计算各种机器的特性,包括稳定和不稳定,以评估模型的性能。本文介绍了三种不同机器在涡轮模式下的计算。应用EARSM计算了不稳定区域的稳态边界条件(BC)和暂态边界条件(如甩负荷和失控),显示了其与线性双方程模型相比的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capturing S-Shape of Pump-Turbines by CFD Simulations Using an Anisotropic Turbulence Model
Pump-turbines cope very well with modern electricity-market demand, having high operational flexibility and storage capabilities. Nevertheless, dynamic operation of these machines can lead to very challenging transient conditions, depending on the shape of the characteristic. Mechanical integrity can be correspondingly affected. Therefore assessment of the characteristic during the design phase, i.e. before model testing, is of crucial importance. In the past years different attempts to accurately compute the characteristic under steady (i.e. fix point) and transient conditions have been undertaken using RANS CFD. While the SST turbulence model has become the reference for machine design, it often fails for conditions close to or around instabilities. Its strength to accurately predict separation close to sound conditions (i.e. mild part- and over-load) is no more helpful. Under unstable conditions, which are characterized by continuous unsteady vortex formation, turbulence isotropy as assumed by linear two equation models is no more the right choice. Accordingly a turbulence model able to capture anisotropy, EARSM (Explicit Algebraic Reynolds Stress Model), has been implemented in an in-house code and used for the computation of the characteristic of various machines, stable and unstable, in order to assess the model performance. In this paper computations of three different machines in turbine mode are presented. Results using steady boundary conditions (BC) in the unstable region as well as transient BC like load-rejection and runaway are computed with EARSM, showing its superiority compared to linear two equation models.
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