Exploring the Effect of Length and Angle on NACA 0010 for Diffuser Design in Tidal Current Turbines

Mehmood, Nasir; Zhang, Liang; Khan, Jawad

doi:10.4028/www.scientific.net/amm.201-202.438

Cited by 9 publications

(6 citation statements)

References 2 publications

(3 reference statements)

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“…3 illustrates geometric parameters of inlet-nozzle diffuser. (5,10,15,20,25,30) and diffuser angles are (5,10,15) respectively. Diameter of throat, diffuser length and inlet-nozzle length are fixed.…”

Section: Diffuser Augmented Hydrokinetic Axial Flow Turbine With Imentioning

confidence: 99%

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Numerical Analysis of Flow Fields on Effect of Inlet-Nozzle Diffuser for Hydrokinetic Axial Flow Turbine

Maw¹,

Soe²

2018

IJSRP

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This research concentrates on the impact of diffuser and nozzle angles as changed parameters on flow velocity at diffuser passage. Diffuser length, nozzle length, throat diameter are fixed and diffuser and nozzle angles are varied 5̊ to 30̊ and 5̊ to 15̊ while the flow field analysis has been carried out using commercial software ANSYS CFX .The simulation results also show that diffuser and nozzle angles at (30,15) are the optimum angles that accelerates flow to the turbine. The velocity at these optimum angles are higher than other angles which cause the turbine can generate more power output. After getting the optimal inlet-nozzle diffuser design, numerical analysis for the designed hydrokinetic axial flow turbine with inlet-nozzle diffuser have been performed by using ANSYS CFX. This study also focuses on the flow velocity and pressure variation around the turbine due to the effect of inlet nozzle diffuser. Hence, the installation of diffuser around the conventional turbine significantly increases its power output capabilities. The proposed turbine design is intended to use at the irrigation channel so that turbine diameter and flow velocity is considered based on the selected location. According to the simulation results, incoming velocity 1.50 m/s at the throat of the turbine was increased up to 4.03 m/s and the preliminary designed turbine power output 210 W was increased to 288 W by installing inlet-nozzle diffuser to the hydrokinetic axial flow turbine.

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Section: Diffuser Augmented Hydrokinetic Axial Flow Turbine With Imentioning

confidence: 99%

“…al. investigated numerous diffuser designs for tidal turbine application based on NACA hydrofoils [5]. Through the use of the hydrofoils, Mehmood et.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of Flow Fields on Effect of Inlet-Nozzle Diffuser for Hydrokinetic Axial Flow Turbine

Maw¹,

Soe²

2018

IJSRP

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“…The interest for the diffuser application on the tidal turbines is also reported to be on the increase e.g. (Mehmood et al, 2012;Ohya et al, 2008;Ponta and Jacovkis, 2008;Reinecke et al, 2011;Werle and Presz, 2008).…”

Section: Challenge For Tidal Energymentioning

confidence: 99%

“…As far as the diffuser design is concerned, it is known from the literature that, the diffuser concept was initially exploited in the wind energy circles and then has been recently introduced in the tidal energy applications (Hansen et al, 2000;Lawn, 2003;Ohya et al, 2008;Werle and Presz, 2008). Various types diffusers (or ducts) for wind turbines or tidal turbines have been designed and investigated, such as diffusers with flanges (Ohya et al, 2008;Tedds et al, 2014), diffusers using airfoils (Luquet et al, 2013;Mehmood et al, 2012;Shives and Crawford, 2010), Venturi ducts (Lago et al, 2010;Li, 2014) and so on. However, considering the present application, the target diffuser is expected to work for a long time in the ocean and hence it has to be simple, reliable and robust.…”

Section: Design Approach To Diffuser Augmented Tidal Turbine (Datt) Smentioning

confidence: 99%

Optimal design of a thin-wall diffuser for performance improvement of a tidal energy system for an AUV

et al. 2015

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The study presents an energy performance improvement measure for an Autonomous Underwater Vehicle (AUV) carrying oceanographic equipment for collecting scientific data from the ocean. The required electric energy for the on-board equipment is harvested from tidal energy by using twin horizontal axis turbines which are integrated with thin-wall diffusers to enhance their energy capturing performance. The main focus and hence objective of the paper is the optimal design of the diffusers by using Reynolds Average Navier–Stokes Equations (RANSE) based Computational Fluid Dynamics (CFD) method and the validation of the design using physical model tests. A goal-driven optimisation procedure is used to achieve a higher power coefficient for the turbine while keeping the size and the drag of the diffuser as practically minimum as possible. Two main parameters of the optimisation are selected, the outlet diameter and the expansion section length of the diffusers, which are optimised for the highest flow acceleration ratio at the diffuser throat and for the minimum drag of the integrated diffuser and turbine system which is called as "Diffuser Augmented Tidal Turbine" (DATT) system. The numerical optimisation is validated by two sets of physical model tests conducted with a single turbine without diffuser and the same turbine integrated with the diffuser (DATT) in a cavitation tunnel and a circulating water channel. These tests demonstrated a performance enhancement for the turbine with the optimal diffuser by almost doubling the power coefficient of the turbine without the diffuser. However, the performance enhancement was dependent upon the pitch angle of the turbine

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“…Khunthongjan and Janyalert dun [17] studied diffuser angle effects on the performance of a flanged straight wall diffuser using CFD techniques. Mehmood et al [18][19][20]optimized the performance of empty diffusers (based on different NACA hydrofoils) by varying both chord length and angle of attack using CFD techniques. Luquet et al [21] used model testing and Reynolds-Averaged Navier-Stokes (RANS) equations based numerical calculations to study the increase in the flow rate through the rotor of a diffuser augmented current turbine after optimizing the design of airfoil based diffuser.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of a Diffuser for a Horizontal Axis Hydrokinetic Turbine using Computational Fluid Dynamics based Surrogate Modelling

Sherbaz

2020

mech

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Fossil fuels have remained at the backbone of the global energy portfolio. With the growth in the number of factories, population, and urbanization; the burden on fossil fuels has also been increasing. Most importantly, fossil fuels have been causing damage to the global climate since industrialization. The stated issues can only be resolved by shifting to environment friendly alternate energy options. The horizontal axis hydrokinetic turbine is considered as a viable option for renewable energy production. The aim of this project is the design and optimization of a diffuser for horizontal axis hydrokinetic turbine using computational fluid dynamics based surrogate modeling. The two-dimensional flat plate airfoil is used as a benchmark and flow around the airfoil is simulated using Ansys Fluent. Later, computational fluid dynamics analyses are carried out for baseline diffuser generated from the flat plate airfoil. The performance of this diffuser was optimized by achieving an optimum curved profile at the internal surface of the diffuser. The response surface methodology is used as a tool for optimization. A maximum velocity augmentation of 31.70% is achieved with the optimum diffuser.

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Exploring the Effect of Length and Angle on NACA 0010 for Diffuser Design in Tidal Current Turbines

Cited by 9 publications

References 2 publications

Numerical Analysis of Flow Fields on Effect of Inlet-Nozzle Diffuser for Hydrokinetic Axial Flow Turbine

Numerical Analysis of Flow Fields on Effect of Inlet-Nozzle Diffuser for Hydrokinetic Axial Flow Turbine

Optimal design of a thin-wall diffuser for performance improvement of a tidal energy system for an AUV

Design and Optimization of a Diffuser for a Horizontal Axis Hydrokinetic Turbine using Computational Fluid Dynamics based Surrogate Modelling

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