A Simulation Based Study of Flow Velocities across Cross Flow Turbine at Different Nozzle Openings

Chichkhede, Shashi; Verma, Vinay Kumar; Gaba, Vivek Kumar; Bhowmick, Shubhankar

doi:10.1016/j.protcy.2016.08.190

Cited by 21 publications

(10 citation statements)

References 5 publications

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“…In designing a crossflow turbine, one of the most critical components besides the blade is the nozzle (Chichkhede et al, 2016). The nozzle must be able to direct the flow so that it is properly distributed and the angle of flow matches the angle of the blade inlet (β1)…”

Section: Introductionmentioning

confidence: 99%

Computational Method for Designing a Nozzle Shape to Improve the Performance of Pico-Hydro Crossflow Turbines

Warjito¹,

Budiarso²,

Celine³

et al. 2021

IJTech

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The nozzle in a crossflow turbine is important because it accelerates the flow of the inlet and directs it to the runner at an angle relative to entrance angle (β1), which is used to obtain the maximum efficiency value. The β1 value must match the angle of the runner's outer blade considering the transfer of water from stationary to the rotating coordinates. To obtain the desired β1 value, the design of the nozzle is essential. In this study, 6-DoF simulations were conducted to find the best nozzle geometry. The incoming flow angles (λ) of the nozzle ranged from 50° to 90°. A study without a proper nozzle design was also conducted to compare the results. The results showed that a nozzle geometry of λ = 50° yielded the highest efficiency (60.6%). This study shows that the design of the nozzle in a crossflow turbine significantly affects its performance.

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Section: Introductionmentioning

confidence: 99%

Computational Method for Designing a Nozzle Shape to Improve the Performance of Pico-Hydro Crossflow Turbines

Warjito¹,

Budiarso²,

Celine³

et al. 2021

IJTech

View full text Add to dashboard Cite

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“…The cross-flow turbine (CFT) is categorized as an impulse turbine where it dominates the kinetic energy of water through the blade to rotate the shaft [1] [2]. The CFT absorbs water energy in two-steps: first stage and second stage [3].…”

Section: Introductionmentioning

confidence: 99%

History of Utilization of the Computational Fluid Dynamics Method for Study Pico Hydro Type Cross-Flow

et al. 2021

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Energy crisis in particular, electricity in the isolated rural areas of Indonesia is a very crucial issue that needs to be resolve through electrification . Compared to other options, pico hydro cross-flow turbine (CFT) is the better option to provides electrical power for the isolated rural areas. Studies to improve CFT performance can be undertaken analytically, numerically, experimentally, or a combination of those methods. However, the development of computer technology makes numerical simulation studies have become increasingly frequent. This paper describes the utilization of the computational fluid dynamic (CFD) approach in the pico hydro CFT method. This review has resulted that the recommended Renormalization Group (RNG) k-ε turbulence model for CFT CFD simulation because its absolute relative error is lower than standard k-ε and transitional Shear Stress Transport (SST). The absolute relative error for the RNG k-ε turbulence model of 3.08%, standard k-ε of 3.19%, and transitional SST of 3.10%. While for the unsteady approach, the six-degrees of freedom (6-DoF) are considered because more accurate than moving mesh. The absolute relative error for 6-DoF of 3.1% and moving mesh of 9.5%. Thus, based on the review, the RNG k-ε turbulence model and 6-DoF are proposed for the pico hydro CFT CFD study.

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“…The CFD has categorized an impulse turbine because the blade dominantly absorbs the water kinetic energy to generate power [1] [2]. The CFT absorbs energy in two stages [3].…”

Section: Introductionmentioning

confidence: 99%

Application of Computational Fluid Dynamics Method for Cross-flow Turbine in Pico Scale

Syofii

Adanta

Prakoso

et al. 2021

JEMMME

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Crisis electricity was a crucial issue in the rural area. Crossflow turbine (CFT) in pico in pico scale is the best option for electricity provider for rural areas. Due to its usefulness and development of computer technology, computational fluid dynamics method application for CFT study becomes increasingly frequent. This paper compiles the implementation of the computational fluid dynamic (CFD) approach for CFT on a pico scale. Based on the literature, the Renormalization Group (RNG) turbulence model is recommended to predict the flow field that occurs in CFT because its error is lower than others turbulence models, the RNG error of 3.08%, standard of 3.19%, and transitional SST of 3.10%. Furthermore, six-degrees of freedom (6-DoF) is recommended because it has an error of 3.1% than a moving mesh of 9.5% for the unsteady approach. Thus, based on the review, the RNG turbulence model and 6-DoF are recommended for the CFT on the pico scale.

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A Simulation Based Study of Flow Velocities across Cross Flow Turbine at Different Nozzle Openings

Cited by 21 publications

References 5 publications

Computational Method for Designing a Nozzle Shape to Improve the Performance of Pico-Hydro Crossflow Turbines

Computational Method for Designing a Nozzle Shape to Improve the Performance of Pico-Hydro Crossflow Turbines

History of Utilization of the Computational Fluid Dynamics Method for Study Pico Hydro Type Cross-Flow

Application of Computational Fluid Dynamics Method for Cross-flow Turbine in Pico Scale

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