Assessment of turbine stages and blade numbers on modified 3D Savonius hydrokinetic turbine performance using CFD analysis

Prabowoputra, Dandun Mahesa; Prabowo, Aditya Rio; Hadi, Syamsul; Sohn, Jung Min

doi:10.1108/mmms-12-2019-0224

Cited by 25 publications

(15 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Factorial design is a type of analysis used in research to determine the effect of existing factors [24][25][26][27]. This research uses a factorial design analysis, with two variables considered: the rotational speed factor and the blade angle.…”

Section: Literature Reviewmentioning

confidence: 99%

The Blade's Angle Affects Banki-Turbine Performance as an Alternative Design for Clean Energy Generation

Prabowoputra¹,

Purwanto²,

Sutini³

2023

MMEP

View full text Add to dashboard Cite

Hydropower is a renewable energy source with a lot of potential in Southeast Asian countries, with a total energy potential of 152,257 MW in Southeast Asia. The development of a hydro-turbine design is required due to the enormous hydropower potential. The turbine's runner is critical for converting fluid internal energy into kinetic energy. A cross-flow turbine that has gained popularity recently is the banki-turbine. The research that has been done is three-dimensional modeling of the banki-turbine with the CFD method. This study aims to determine the effect of the blade's angle on turbine performance. This research's steps are design, mesh independence, validation, simulation, and analysis. Modeling research was conducted with variations of blade angles 10˚, 15˚, and 20˚. Schematic modeling using a steady state condition, the turbulent type Shear Stress transport (SST), and the tetrahedral mesh method. The modeling consists of a rotating zone and a stationary zone. The water inlet velocity is 3 m/s, and the outlet pressure equals the room pressure (1 atm). Simulation of bankiturbine operated in 50 RPM until 350 RPM of angular velocity. One of the analyzes used is Factorial Design. The best performance Cpmax is obtained from the variation of the blade's angle of 15˚ on 0.28.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

The Blade's Angle Affects Banki-Turbine Performance as an Alternative Design for Clean Energy Generation

Prabowoputra¹,

Purwanto²,

Sutini³

2023

MMEP

View full text Add to dashboard Cite

show abstract

“…At this stage, the error value will be obtained using Equation 4. where the formula is as follows 15) :…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Blade Angle and Number on the Performance of Bánki Hydro-Turbines: Assessment using CFD and FDA Approaches

Prabowoputra¹,

Prabowo²,

Yaningsih³

et al. 2023

Evergreen

View full text Add to dashboard Cite

The Bánki turbine is a cross-flow turbine with a simple structure that is easy to modify. Changing the turbine's runner geometry is one of the modifications that have an effect on its performance. The goal of this study is to quantify the effect of increasing number of blades and the angle of the blades on the performance of the Bánki turbine. This study was carried out using threedimensional modeling with the ANSYS CFX device and the computational fluid dynamics (CFD) method. The five angles of the blade, namely 10˚, 15˚, 20˚, 25˚, and 30˚, are used to create variations. In addition to the angle factor of the blade, research has been conducted on the number of blades, which are 12 blades, 16 blades, 20 blades, 24 blades, 32 blades, 36 blades, 40 blades, 48 blades, and 52 blades. In a steady-state modeling condition, the applied boundary condition is a water flow velocity of 3 m/s. The results of the CFD modeling are analyzed using a factorial design analysis (FDA). The results indicate that runners with a 15˚ Blade's angle and 40-blade perform best. Results of the factorial design analysis show that the blade angle factor and the number of blades interact.

show abstract

“…Penelitian tersebut antara lain mengenai turbin air savonius, turbin air darrieus, dan turbin air crossflow. Variasi yang dilakukan antara lain bentuk sudu [3,4], Rasio diameter [5], jumlah stage [6], dan rasio ketebalan [7], baik dilakukan secara experimen maupun pendekatan numerikal. Faktor-faktor yang mempengaruhi performa turbin antara lain faktor geometri, propertis fluida dan material turbin [8,9].…”

Section: Pendahuluanunclassified

Pengaruh Jumlah Sudu 8, 12, 16 dan 20 terhadap Performa Hidro-Turbin Cross-Flow dengan sudut 15° Menggunakan Metode Computational Fluids Dynamics

Prabowoputra

2021

JMEM

Self Cite

View full text Add to dashboard Cite

Energi listrik merupakan kebutuhan primer dalam kehidupan sehari-hari. Perkembangan teknologi mengakibatkan meningkatnya kebutuhan energi listrik setiap tahunnya. Energi baru terbarukan memasok kebutuhan energi listrik nasional sebesar 14%. Di sisi lain, pemerintah mengharapkan komposisi energi baru terbarukan sebesar 23% hingga 31% pada tahun 2050. Hal ini menunjukan bahwa energi baru terbarukan masih memiliki gap yang cukup tinggi. Penelitian ini merupakan salah satu upaya dalam pengembangan energi baru terbarukan, terutama pada pembangkit listrik mikro-pico hidro. Penelitian ini dilakukan menggunakan metode Computational Fluid Dynamics menggunakan Aplikasi Ansys dengan CFX Solver. Penelitian dilakukan untuk mengetahui pengaruh jumlah sudu pada hidro-turbin cross-flow terhadap performa Coefficient of Power. Peneltian dilakukan pada rotor dengan dimensi diameter 80 mm, panjang 130 mm dan sudut sudu 15°. Variasi jumlah sudu dilakukan pada jumlah sudu 8, 12, 16, dan 20. Simulasi dilakukan pada steady state, dan menggunakan tipe turbulen Shear Stress Transport. Turbin cross-flow beroperasi pada kecepatan air 3m/s dengan kecepatan sudut pada interval 50 sampai 350 RPM. Hasil menunjukan Coefficient of Power Maximum yang dihasilkan untuk sudu 8,12, 16 dan 20 adalah 10,8%; 14,1%; 16,8% dan 20,1%. Dari hasil tersebut menunjukan performa maksimal dihasilkan oleh hidro-turbin tipe cross-flow dengan jumlah sudu rotor 20.

show abstract

Assessment of turbine stages and blade numbers on modified 3D Savonius hydrokinetic turbine performance using CFD analysis

Cited by 25 publications

References 39 publications

The Blade's Angle Affects Banki-Turbine Performance as an Alternative Design for Clean Energy Generation

The Blade's Angle Affects Banki-Turbine Performance as an Alternative Design for Clean Energy Generation

Effect of Blade Angle and Number on the Performance of Bánki Hydro-Turbines: Assessment using CFD and FDA Approaches

Pengaruh Jumlah Sudu 8, 12, 16 dan 20 terhadap Performa Hidro-Turbin Cross-Flow dengan sudut 15° Menggunakan Metode Computational Fluids Dynamics

Contact Info

Product

Resources

About