A numerical study on the performance characteristics of low head Francis turbine with different turbulence models

Kamal, Md. Mustafa; Abbas, Ali; Prasad, Vishnu; Kumar, Ravi

doi:10.1016/j.matpr.2021.02.155

Cited by 13 publications

(5 citation statements)

References 5 publications

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“…Mesh division is an important part of the numerical calculation of flow field. Mesh quality affects the reliability and stability of calculation results [40], and good mesh quality is conducive to obtaining accurate numerical results [41]. The advantage of unstructured mesh is that it has a strong adaptability to complex geometric structures, and the operation is relatively simple and the adaptability is strong.…”

Section: Hydraulic Modeling and Meshingmentioning

confidence: 99%

Numerical Simulation and Analysis of Hydraulic Turbines Based on BIM for Sustainable Development

Sun,

Liu,

Zhang

et al. 2023

Sustainability

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Hydropower is considered to be an important way to achieve the sustainable development goal of human progress. The performance of turbines is very important to the safety and stability of hydropower stations. Most of the hydraulic turbine performance studies only use Computational Fluid Dynamics (CFD) for performance simulation, lacking the integration of Building Information Modeling (BIM) technology and CFD. Therefore, a performance analysis model of a Francis turbine based on BIM was put forward in this paper. The BIM software OpenBuildings Designer CONNECT Edition Update 10 was used to build the hydraulic turbine model, and then the BIM model was transferred to the CFD numerical simulation platform ANSYS through the intermediate format conversion. In the ANSYS environment, the numerical simulation of different working conditions was carried out with the help of Fluent 2021 R1 software. The numerical simulation results show that the fluid velocity gradient in the volute was 2~3 m/s under the three working conditions, which was relatively stable. The water flow could progress the guide vane mechanism at a higher speed, and the drainage effect of the volute was better. There were some negative pressure areas at the back of the runner blades and the inlet of draft tube, and the negative pressure value was as high as −420,000 Pa and −436,842 Pa under maximum head conditions, which were prone to cavitation erosion. It is proven that BIM supported the hydraulic turbine performance analysis and provided a geometric information model for hydraulic turbine CFD numerical simulation, meaning that the performance analysis model based on BIM is feasible. This study can expand the application value of BIM and provide guidance for the study of hydraulic turbine numerical simulation using BIM technology in combination with CFD methods.

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Section: Hydraulic Modeling and Meshingmentioning

confidence: 99%

Numerical Simulation and Analysis of Hydraulic Turbines Based on BIM for Sustainable Development

Sun,

Liu,

Zhang

et al. 2023

Sustainability

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show abstract

“…Axial flow pumps are mainly suitable for low head, large flow occasions, such as irrigation, drainage, dock drainage, canal lock water level regulation, or as large circulating water pump power plants. The hydraulic action of different turbines can cause serious problems (e.g., abnormal shutdowns due to excessive machine vibrations), and the production determines which kind of pump is needed according to the actual situation [87,88]. As the core mechanical equipment of water energy development, the performance of a water turbine determines the utilization rate of water energy development.…”

Section: Effect Of Structure and Working Parameter Optimization On Th...mentioning

confidence: 99%

A Review of the Efficiency Improvement of Hydraulic Turbines in Energy Recovery

Song

Xue

et al. 2023

Processes

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Turbine energy recovery is a process energy saving technology, and understanding turbine efficiency has important operational and economic benefits for the operator of a power plant. There are three main areas of research into turbine energy efficiency: the structural performance of the turbine itself, the configuration of the recovery device and the regulation of operating conditions. This paper summarizes recent research advances in hydraulic turbine energy efficiency improvement, focusing on the design factors that can affect the overall efficiency of a hydraulic turbine. To quantify the impact of these factors, this paper investigates the effects of surface roughness, flow rate, head and impeller speed on overall efficiency. Methods for optimizing improvements based on these design factors are reviewed, and two methods, the Box–Behnken Design method and the NSGA-II genetic algorithm, are described with practical examples to provide ideas for future research.

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“…Although cavitation or erosion studies often utilize both numerical and experimental methods, relying solely on numerical techniques may seem efficient, yet it disregards crucial factors. Numerical methods, while time-and resource-saving, encounter challenges stemming from various parameters [2,6,7]. These parameters interplay, where temperature fluctuations within the liquid flow impact pressure fluctuation amplitudes and wave velocities [8,9].…”

Section: Introductionmentioning

confidence: 99%

Wear Behavior of Epoxy Resin Reinforced with Ceramic Nano- and Microparticles

Abenojar,

Ballesteros,

Bahrami

et al. 2024

Polymers

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Cavitation erosion poses a significant challenge in fluid systems like hydraulic turbines and ship propellers due to pulsed pressure from collapsing vapor bubbles. To combat this, various materials and surface engineering methods are employed. In this study, nano and micro scale particles of silicon carbide (SiC) or boron carbide (B4C) were incorporated as reinforcement at 6% and 12% ratios, owing to their exceptional resistance to abrasive wear and high hardness. Microparticles were incorporated to assess the damage incurred during the tests in comparison to nanoparticles. Wear tests were conducted on both bulk samples and coated aluminum sheets with a 1mm of composite. Additionally, cavitation tests were performed on coated aluminum tips until stability of mass loss was achieved. The results indicated a distinct wear behavior between the coatings and the bulk samples. Overall, wear tended to be higher for the coated samples with nanocomposites than bulk, except for the nano-composite material containing 12% SiC and pure resin. With the coatings, higher percentages of nanometric particles correlated with increased wear. The coefficient of friction remained within the range of 0.4 to 0.5 for the coatings. Regarding the accumulated erosion in the cavitation tests for 100 min, it was observed that for all nanocomposite materials, it was lower than in pure resin. Particularly, the composite with 6% B4C was slightly lower than the rest. In addition, the erosion rate was also lower for the composites.

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A numerical study on the performance characteristics of low head Francis turbine with different turbulence models

Cited by 13 publications

References 5 publications

Numerical Simulation and Analysis of Hydraulic Turbines Based on BIM for Sustainable Development

Numerical Simulation and Analysis of Hydraulic Turbines Based on BIM for Sustainable Development

A Review of the Efficiency Improvement of Hydraulic Turbines in Energy Recovery

Wear Behavior of Epoxy Resin Reinforced with Ceramic Nano- and Microparticles

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