GPU-accelerated numerical analysis of jet interference in a six-jet Pelton turbine using Finite Volume Particle Method

Alimirzazadeh, Siamak; Kumashiro, Takashi; Leguizamón, Sebastián; Jahanbakhsh, Ebrahim; Maertens, Audrey; Vessaz, Christian; Tani, Kazuki; Avellan, François

doi:10.1016/j.renene.2019.11.131

Cited by 27 publications

(9 citation statements)

References 25 publications

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“…However, its immature development adopts the low-order scheme (Chitrakar et al, 2020) and does not need to track the air phase, so its accuracy and reliability are regrettable (Marongiu et al, 2010). Alimirzazadeh et al (2020) simulated the interaction between two adjacent jets in the six-jet Pelton under eight conditions based on the GPU-accelerated particle solver of FVPM. Based on the SPH-ALE method, Rentschler et al (2016) numerically simulated the flow in the Pelton turbine casing and explored the influence of the deflector and casing on the flow characteristics.…”

Section: Ec 405mentioning

confidence: 99%

“…However, its immature development adopts the low-order scheme (Chitrakar et al ., 2020) and does not need to track the air phase, so its accuracy and reliability are regrettable (Marongiu et al ., 2010). Alimirzazadeh et al . (2020) simulated the interaction between two adjacent jets in the six-jet Pelton under eight conditions based on the GPU-accelerated particle solver of FVPM.…”

Section: Introductionmentioning

confidence: 99%

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SPH method used for characteristic predictions at Pelton turbine buckets: comparing with the mesh-based method

Sun

Zheng

2023

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PurposeThe research in this paper helps to understand the difference between the Eulerian method and the Lagrangian method in describing the performance of Pelton turbine buckets, so as to improve the design level and design efficiency of the runner.Design/methodology/approachThis paper used DualSPHysics to calculate the unsteady flow of the Pelton turbine runner bucket and compared it with the mesh-based method to explore the difference between mesh-based and particle-based methods in torque curves, jet flow patterns and pressure characteristics.FindingsIt is noted that the particle-based method is challenging to compare with the mesh-based method concerning accuracy. In addition to better describing the free water film, the particle method also captures many droplets near the water film, but it cannot well describe the negative pressure region on the bucket back and the resulting jet interference after cutting off the jet. Compared with the mesh-based method, the pressure measurement points obtained by the particle-based method generally have shorter periods and violent fluctuations, and the pressure value of some points is underestimated.Originality/valueThis paper helped to calculate the unsteady characteristics of the Pelton turbine by Fluent, CFX and DualSPHysics; exploration jet flow pattern differences between the mesh and meshfree methods; prediction of the flow interference between the bucket back and the jet and the pressure curve of SPH usually has a shorter period and violent fluctuations.

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Section: Ec 405mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SPH method used for characteristic predictions at Pelton turbine buckets: comparing with the mesh-based method

Sun

Zheng

2023

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“…Many publications can be found about the fluid dynamics of Pelton turbines [8][9][10][11]. However, while some papers have been published regarding the structural response of Francis turbines and pump-turbines [12,13], there are a few studies addressing the topic on Pelton runners.…”

Section: Modal Behavior Of Pelton Turbinesmentioning

confidence: 99%

“…Stainless steel Density 7500 kg/m 3 Young's modulus 2x10 11 Type of mesh elements Tetrahedral Number of mesh elements 400000 Table 4. Information about the simulation of the runner Figure 6.…”

Section: Conditions Free Body Materialsmentioning

confidence: 99%

Dynamic response of Pelton runners: Numerical and experimental analysis in prototypes

et al. 2020

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“…Computational fluid dynamics (CFD) has provided valuable insights into the flow in Pelton turbines. However, the simulation of a Pelton runner is still a challenging task [9], even if new mesh-free solvers have been developed and used [10][11][12][13]. Another challenge for Pelton turbines, not considered in this paper, is the assessment of erosion in the Pelton injector due to solid particles.…”

Section: Introductionmentioning

confidence: 99%

Geometry, Mesh and Numerical Scheme Influencing the Simulation of a Pelton Jet with the OpenFOAM Toolbox

Decaix

Münch-Alligné

2022

Energies

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Hydropower is a key source of electricity production for allowing the integration of intermittent renewable energy resources. Among the various hydraulic power plants around the world, the ones equipped with Pelton turbines already provide large flexibility that is still enhanced with the development, for instance, of the hydraulic short circuit operating mode. However, the knowledge of the flow inside Pelton turbines is still a challenging task, both numerically and experimentally, despite progress in the last two decades. One key feature of the Pelton efficiency is the jet quality, i.e., the jet velocity needs to be uniform, not perturbed by secondary flows and compact. The compactness of the jet is mainly dependent o nthe location of the jet detachment at the nozzle outlet, which is challenging for computational fluid dynamics simulations mainly due to numerical diffusion. Even if this point has already been mentioned in previous papers, the present paper focuses on all the parameters that can influence the jet detachment: the nozzle geometry, the mesh and the numerical scheme used to discretize the convective fluxes. The simulations of an existing Pelton injector are performed using the OpenFOAM toolbox. It is noticed that, in addition to the nozzle geometry and the mesh resolution at the nozzle outlet, the choice of the numerical schemes influences the jet detachment and, consequently, the jet diameter and discharge. The use of an anti-diffusive scheme such as the “SUPERBEE” limiter improves the prediction of the jet in accordance with the on-site measurements.

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GPU-accelerated numerical analysis of jet interference in a six-jet Pelton turbine using Finite Volume Particle Method

Cited by 27 publications

References 25 publications

SPH method used for characteristic predictions at Pelton turbine buckets: comparing with the mesh-based method

SPH method used for characteristic predictions at Pelton turbine buckets: comparing with the mesh-based method

Dynamic response of Pelton runners: Numerical and experimental analysis in prototypes

Geometry, Mesh and Numerical Scheme Influencing the Simulation of a Pelton Jet with the OpenFOAM Toolbox

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