A Systematic Validation of a Francis Turbine Under Design and Off-Design Loads

IF 0.5 Q4 ENGINEERING, MECHANICAL Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2019-03-01 DOI:10.1115/1.4043965
C. Trivedi
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引用次数: 10

Abstract

Computational fluid dynamic (CFD) techniques have played a significant role in improving the efficiency of the hydraulic turbines. To achieve safe and reliable design, numerical results should be trustworthy and free from any suspicion. Proper verification and validation (V&V) are vital to obtain credible results. In this work, first we present verification of a numerical model, Francis turbine, using different approaches to ensure minimum discretization errors and proper convergence. Then, we present detailed validation of the numerical model. Two operating conditions, best efficiency point (BEP) (100% load) and part load (67.2% load), are selected for the study. Turbine head, power, efficiency, and local pressure are used for validation. The pressure data are validated in time- and frequency-domains at sensitive locations in the turbine. We also investigated the different boundary conditions, turbulence intensity, and time-steps. The results showed that, while assessing the convergence history, convergence of local pressure/velocity in the turbine is important in addition to the mass and momentum parameters. Furthermore, error in hydraulic efficiency can be misleading, and effort should make to determine the errors in torque, head, and flow rate separately. The total error is 9.82% at critical locations in the turbine. The paper describes a customized V&V approach for the turbines that will help users to determine total error and to establish credibility of numerical models within hydraulic turbines.
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混流式水轮机在设计和非设计负荷下的系统验证
计算流体力学(CFD)技术在提高水轮机效率方面发挥了重要作用。为了实现安全可靠的设计,数值结果应该是可信的,没有任何怀疑。正确的验证和确认(V&V)对于获得可信的结果至关重要。在这项工作中,我们首先提出了一个数值模型的验证,混流式涡轮机,使用不同的方法,以确保最小的离散误差和适当的收敛。然后,对数值模型进行了详细的验证。选取最佳效率点(BEP)(100%负荷)和部分负荷(67.2%负荷)两种工况进行研究。涡轮水头、功率、效率和局部压力用于验证。在涡轮敏感位置对压力数据进行时域和频域验证。我们还研究了不同的边界条件、湍流强度和时间步长。结果表明,在评估收敛历史时,除了质量和动量参数外,涡轮内部局部压力/速度的收敛也很重要。此外,液压效率的误差可能会产生误导,应努力分别确定扭矩、扬程和流量的误差。在汽轮机的关键位置,总误差为9.82%。本文描述了一种定制的水轮机V&V方法,该方法将帮助用户确定总误差并建立水轮机数值模型的可信度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
16.70%
发文量
12
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