Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Water  /  Vol: 10 Par: 2 (2018)  /  Artículo
ARTÍCULO
TITULO

Prediction Method for the Complete Characteristic Curves of a Francis Pump-Turbine

Wei Huang    
Kailin Yang    
Xinlei Guo    
Jiming Ma    
Jue Wang and Jiazhen Li    

Resumen

Complete characteristic curves of a pump-turbine are essential for simulating the hydraulic transients and designing pumped storage power plants but are often unavailable in the preliminary design stage. To solve this issue, a prediction method for the complete characteristics of a Francis pump-turbine was proposed. First, based on Euler equations and the velocity triangles at the runners, a mathematical model describing the complete characteristics of a Francis pump-turbine was derived. According to multiple sets of measured complete characteristic curves, explicit expressions for the characteristic parameters of characteristic operating point sets (COPs), as functions of a specific speed and guide vane opening, were then developed to determine the undetermined coefficients in the mathematical model. Ultimately, by combining the mathematical model with the regression analysis of COPs, the complete characteristic curves for an arbitrary specific speed were predicted. Moreover, a case study shows that the predicted characteristic curves are in good agreement with the measured data. The results obtained by 1D numerical simulation of the hydraulic transient process using the predicted characteristics deviate little from the measured characteristics. This method is effective and sufficient for a priori simulations before obtaining the measured characteristics and provides important support for the preliminary design of pumped storage power plants.

 Artículos similares

       
 
Jiale Li, Jiayin Guo, Bo Li and Lingxin Meng    
The deep learning method has been widely used in the engineering field. The availability of the training dataset is one of the most important limitations of the deep learning method. Accurate prediction of pavement performance plays a vital role in road ... ver más
Revista: Buildings

 
Hu Cai, Jiafu Wan and Baotong Chen    
Traditional capacity forecasting algorithms lack effective data interaction, leading to a disconnection between the actual plan and production. This paper discusses the multi-factor model based on a discrete manufacturing workshop and proposes a digital ... ver más
Revista: Applied Sciences

 
Feng Zhou, Shijing Hu, Xin Du, Xiaoli Wan and Jie Wu    
In the current field of disease risk prediction research, there are many methods of using servers for centralized computing to train and infer prediction models. However, this centralized computing method increases storage space, the load on network band... ver más
Revista: Future Internet

 
Yunfei Yang, Zhicheng Zhang, Jiapeng Zhao, Bin Zhang, Lei Zhang, Qi Hu and Jianglong Sun    
Resistance serves as a critical performance metric for ships. Swift and accurate resistance prediction can enhance ship design efficiency. Currently, methods for determining ship resistance encompass model tests, estimation techniques, and computational ... ver más

 
Jiabao Li, Lichi An, Yabing Cheng and Haoxiang Wang    
To improve the noise comfort of the whole machine, it is necessary to establish the sound quality prediction model of the Hy-Vo chain transmission system. Compared with the silent chain transmission system, the Hy-Vo chain transmission system normally op... ver más
Revista: Applied Sciences