8 results ·
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E
etd.lib.metu.edu.tr
research
https://etd.lib.metu.edu.tr/upload/12620584/index.pdf
Figure 2.65 : Francis turbine losses as function of the specific speed 70 Figure 2.66 : Flow rate versus guide vane opening for different heads 71 Table 2-5 : Results for the numerical simulation, standardized values Q H P effCFD PHI PSI nq QED Q11 nED n11 GV-angle a0 Servo piston travel [m³/s] [m] [MW] [%] [-] [-] [rpm] [-] [-] [-] [-] [°] [mm] [mm] 11.04 122.57 11.09 73.18 0.05 1.46 27.06 0.05 0.15 0.37 69.91 5 31.8 113.4 17.11 122.57 18.79 83.64 0.08 1.46 33.69 0.07 0.23 0.37 69.91 7.5 47.4 141.6 23.01 122.57 25.64 86.68 0.11 1.46 39.07 0.10 0.31 0.37 69.91 10 62.7 169.0 28.38 122.57 32.43 89.93 0.13 1.46 43.39 0.12 0.39 0.37 69.91 12.5 77.7 195.6 33.03 122.56 38.27 91.85 0.16 1.46 46.81 0.14 0.45 0.37 69.91 15 92.4 221.4 37.25 122.56 43.28 92.57 0.18 1.46 49.71 0.16 0.51 0.37 69.91 17.5 106.8 246.5 41.18 122.56 47.29 91.84 0.19 1.46 52.26 0.18 0.56 0.37 69.91 20 121.0 270.9 44.81 122.56 50.58 90.52 0.21 1.46 54.52 0.19 0.61 0.37 69.91 22.5 134.9 294.5 47.98 122.56 52.88 88.58 0.23 1.46 56.41 0.21 0.65 0.37 69.92 25 148.4 317.4 50.76 122.56 54.04 85.68 0.24 1.46 58.03 0.22 0.69 0.37 69.92 27.5 161.7 339.7 11.61 130.74 12.68 75.05 0.05 1.56 26.44 0.05 160.37 0.36 510.40 5 31.8 113.4 17.99 130.74 21.04 83.85 0.08 1.56 32.91 0.08 199.59 0.36 349.12 7.5 47.4 141.6 24.14 130.74 28.72 87.01 0.11 1.56 38.12 0.10 231.19 0.36 276.52 10 62.7 169.0 29.74 130.74 36.36 90.44 0.14 1.56 42.31 0.12 256.61 0.36 231.65 12.5 77.7 195.6 34.62 130.73 42.96 92.43 0.16 1.56 45.66 0.15 276.88 0.36 204.41 15 92.4 221.4 38.78 130.73 47.85 92.32 0.18 1.56 48.32 0.16 293.03 0.36 188.54 17.5 106.8 246.5 42.84 130.73 52.29 91.64 0.20 1.56 50.79 0.18 307.99 0.36 176.41 20 121.0 270.9 46.62 130.73 56.00 90.43 0.22 1.56 52.98 0.20 321.31 0.36 167.56 22.5 134.9 294.5 49.76 130.73
S
sciencedirect.com
article
https://www.sciencedirect.com/science/article/abs/pii/S0960148124019906
Based on the optimized blade angles, the efficiencies are improved by 1.12 % and 1.42 % at N S = 150 and 270 respectively with a constant power output of 30 MW.
P
publications.waset.org
article
https://publications.waset.org/4986/optimization-of-gamm-francis-turbine-runner
The goal was to optimize the geometry of the blades of GAMM turbine runner which leads to maximum total efficiency by changing the design parameters of camber
T
tandfonline.com
article
https://www.tandfonline.com/doi/full/10.1080/19942060.2025.2541680
Specifically, the turbine efficiency increased by 5.4% at 20% Pr and by 2.83% at 50% Pr. The optimized blade geometry significantly shrinks the low-pressure
S
scribd.com
article
https://www.scribd.com/document/223228283/Conceptual-Design-Optimization-of-F…
# Conceptual Design Optimization of Francis Turbines. ## Uploaded by. Hydraulic turbines have been studied, designed, built and put into operation for nearly 250 years. This work presents a conceptual design methodology for Francis turbines. It combines simplified models for the turbomachine fluid flow with numerical optimization techniques. ## Share this document. ## Footer menu. ## Support. ## Legal. ## Social. ## Get our free apps. Scribd - Download on the App Store. Scribd - Get it on Google Play.
A
asmedigitalcollection.asme.org
article
https://asmedigitalcollection.asme.org/fluidsengineering/article/142/10/10121…
Previous studies suggested variable speed operation (VSO) of Francis turbines as a measure to improve the efficiency at off-design operating conditions.
P
pubs.aip.org
article
https://pubs.aip.org/aip/adv/article/13/7/075208/2901828/Numerical-study-of-t…
According to the preceding analysis, increasing the lean angle can improve the turbine's efficiency, but adjusting the lean angle to improve
M
mdpi.com
article
https://www.mdpi.com/2071-1050/14/16/10331
The proposed method aims to improve the hydraulic performance of the turbine, enhance and suppress the vibration of the turbine, and expand the operation range of the turbine on the basis of the actual situation given that Francis turbine frequently operates in low- and ultralow-load areas under the condition of multi-energy complementarity and continuous adjustment of operating conditions. The super-transfer approximation method was used to select the weight co-efficient of water turbine operating conditions, and a multi-objective optimization function with the efficiency and cavitation performance of the water turbine as optimization objectives was constructed to ensure that the optimized water turbine can achieve the optimal performance in the full working condition range. A multi-objective and multi-condition optimization design method for Francis turbine runner based on the super-transfer approximation method is proposed in this work to improve the hydraulic performance of the turbine in the full working condition range and broaden the working range of the turbine given that the Francis turbine frequently operates in low- and ultralow-load areas under the condition of multi-energy complementarity and continuous adjustment of operating conditions.