EconPapers    
Economics at your fingertips  
 

Numerical formulation of relationship between optimized runner blade angle and specific speed in a francis turbine

Min-Su Roh, Mohammad Abu Shahzer and Jin-Hyuk Kim

Renewable Energy, 2025, vol. 238, issue C

Abstract: Francis turbine is the most widely acceptable hydraulic machine due to its higher efficiency. The establishment of the link between the optimized blade angle and specific speed can provide a turbine model with increased efficiency. In this study, a numerical study was conducted to derive the correlation between runner blade angles and the specific speed (NS). The blade angles at the inlet and outlet of the hub and shroud spans were selected as the design variables. For the numerical calculations, Reynolds-averaged Navier-Stokes equations were modelled with the Shear Stress Transport turbulence model to predict the hydraulic performances. The Grid Convergence Index technique was applied to ensure grid accuracy. Response surface methodology was used as an optimization technique to derive the optimal model with higher efficiency. Based on the optimized blade angles, the efficiencies are improved by 1.12 % and 1.42 % at NS=150 and 270 respectively with a constant power output of 30 MW. For both NS, the internal flow characteristics were improved with a reduction of 24 % in the circumferential velocity at NS=150 and 43 % in the low-speed zone area at NS=270. The correlation was established to formulate a basis for providing a runner's blade angle value close to the optimal point for a wider range of NS of the turbine.

Keywords: Francis turbine; Numerical analysis; Optimal design; Runner blade angle; Specific speed (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148124019906
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:238:y:2025:i:c:s0960148124019906

DOI: 10.1016/j.renene.2024.121922

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-05-25
Handle: RePEc:eee:renene:v:238:y:2025:i:c:s0960148124019906