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engineeringmechanics.cz
article
https://www.engineeringmechanics.cz/pdf/20_2_139.pdf
et al.: Development of High Specific Speed Francis Turbine for Low Head HPP blade, the automatic mesh generation, CFD calculations with post-processing and the own optimization cycle with defined objective function. ed., Kluwer Academic Publishers, Dordrecht, 1992, 500 p., ISBN 0-7923-1505-7 [2] Obrovsky J., Seda B., Zouhar J.: Experience with hydraulic design of low specific speed turbine, 4th IAHR International Meeting of the Workgroup on Cavitation and Dynamic Problems, 2011, Belgrade, Serbia [3] Sado K., ShyangMaw L., Yasuyuki E.: Virtual model test for a Francis turbine, 25th IAHR Symposium on Hydraulic Machinery and Systems, 2010, Timisoara, Romania [4] Skotak A., Obrovsky J.: The utilization of optimization for water turbine blade shape uprating, Fluent Userˇ zs Meeting, 2006, Hrotovice, Czech Republic [5] Skotak A., Obrovsky J.: Shape Optimization of a Kaplan Turbine Blade, 23rd IAHR Sympo-sium on Hydraulic Machinery and Systems, 2006, Yokohama, Japan, paper 233 [6] Skotak A., Obrovsky J.: Analysis of the flow in the water turbine draft tube in Fluent and CFX, 25th CADFEM Userˇ zs Meeting, 2007, Dresden, Germany [7] Storn R., Price K.: Differential Evolution – A Simple and Efficient Heuristic for Global Op-timization over Continuous Spaces, Journal of Global Optimization, Kluwer Academic Pub-lishers, 1997, vol.
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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.
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icce2018.emu.edu.tr
research
https://icce2018.emu.edu.tr/Documents/proceedings/TURB-02-Deniz%20Sarper-Fran…
Table 1: L9 Taguchi Design Experiments/Factors A B C 1 20 60 20 2 20 70 22 3 20 80 24 4 22 60 22 5 22 70 24 6 22 80 20 7 24 60 24 8 24 70 20 9 24 80 22 Hydraulic turbine efficiency is defined as the ratio of shaft power to hydraulic power that depends on head and flow rate values. Nomenclature A Taguchi factor that represents guide vane angle ( ̊ ) B Taguchi factor that represents runner inlet angle ( ̊ ) C Taguchi factor that represents runner outlet angle ( ̊ ) g Gravitational acceleration (m/s2) H Turbine head value (m) Q Turbine discharge value (m3/s) u Velocity in x direction (m/s) v Velocity in y direction (m/s) w Velocity in z direction (m/s) Greek Letters 𝜂turb Turbine efficiency (%) Pshaft Shaft power (W) 𝜌 Density (kg/m3) μ Dynamic viscosity (kg/ms) References [1] http://www.eie.gov.tr/yenilenebilir/h_turki ye_potansiyel.aspx [2] Y.
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simscale.com
article
https://www.simscale.com/blog/francis-turbine-optimization
# How to Optimize a Francis Turbine Design with CFD. BlogMachinery & Industrial EquipmentHow to Optimize a Francis Turbine Design with CFD. A water turbine, with the Kaplan, Pelton, and Francis turbines being the most common ones, is a large rotary machine that works to convert kinetic and potential energy into hydroelectricity. These modern equivalents of the water wheel have been used for over 135 years for industrial power generation, and more recently hydropower energy generation. ## Francis Turbine **What Are Water Turbines Used for Today?**. Low-head hydropower systems are larger, as the water turbine has to be large to achieve a high flow rate while low water pressure is applied across the blades. These turbines are known as axial flow reaction turbines, as they change the pressure of the water as it flows through it. ## Francis Turbine **How Can You Optimize Your Water Turbine Design with CFD?**.
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blog.adtechnology.com
article
https://blog.adtechnology.com/machine-learning-hydraulic-turbine-francis-runn…
# Machine Learning for Hydraulic Francis Runner Design Optimization. A new methodology uses **3D Inverse Design** technology coupled with **Reactive Response Surface (RRS) Machine Learning** to rapidly optimize Francis hydraulic turbine runners. This approach requires only **10 input parameters** to explore a vast design space and, in just a few hours, discovered optimized designs that showed significant performance gains, including **5-9 percentage points higher efficiency** and an **8-28% increase in shaft power** over the baseline model. In this blog we look at how ADT’s Reactive Response Surface + CAE technology (RRS+CAE) is driving better hydraulic turbine design through Machine Learning. ## • The Francis Runner performance challenge - and the solution • Where to start - Generate a meanline Francis runner design • 3D Inverse Design is the enabling technology for Machine Learning • How to establish a baseline for turbine performance • Optimization of a Francis runner via Machine Learning • RRS gives design choices and performance gains • Final validation of the Machine Learning solution • Conclusions.
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sciencedirect.com
article
https://www.sciencedirect.com/science/article/abs/pii/S0960148124019906
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
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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.
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pubs.aip.org
article
https://pubs.aip.org/aip/adv/article/13/7/075208/2901828/Numerical-study-of-t…
The maximum efficiency is achieved at the lean angle of 5°. When the lean angle exceeds 5°, the efficiency drops dramatically. The power is