Aerodynamic analysis of backward swept in HAWT rotor blades using CFD

Salari, Mohammad; Boushehri, Behzad Zarif; Boroushaki, Mehrdad

doi:10.14710/ijred.7.3.241-249

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…As suggested in section 3.2, the rotational region was defined as per (Saryazdi & Boroushaki. 2018;Ghiasi et al 2021) and (Salari, Boushehri & Boroushaki. 2018).…”

Section: Methodsmentioning

confidence: 99%

A Brief Study on the Implementation of Helical Cross-Flow Hydrokinetic Turbines for Small Scale Power Generation in the Indian SHP Sector

Jayaram

Bavanish

2022

Int. J. Renew. Energy Dev.

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This article addresses the simulation and experiments performed on a Gorlov Helical Turbine (GHT) by altering the index of revolution of its helical blades. Gorlov Helical Turbine is a hydrokinetic turbine that generates energy from the perennial/tidal source. The paper serves a two-fold purpose: parametric optimisation of Gorlov Helical Turbine with respect to the index of revolution and viability of installing the turbines in river creeks. Nine models of turbines with a diameter of 0.600 m and a height of 0.600 m were generated with different indices of revolution and then subjected to simulation studies. A significant rise in the output torque of the turbine was not observed with the various indices of revolution, even as the probability of finding a section at every azimuthal position is likely to rise. Gavasheli's solidity ratio formula was used to formulate an expression for the output power. The output power as per analytical formulation is 1.11 W, which is of the order of output power obtained through simulation (0.951 W). The studies suggest that 0.25 remains the optimum value for the index of revolution of the helical blades. A model with 0.25 as the index of revolution was fabricated and tested at a river creek. The results were found to agree with the simulations accounting for the losses. The study results could encourage setting up hydrokinetic turbines in river creeks, thereby increasing the grid capacity of SHPs in India.

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“…As suggested in section 3.2, the rotational region was defined as per (Saryazdi & Boroushaki. 2018;Ghiasi et al 2021) and (Salari, Boushehri & Boroushaki. 2018).…”

Section: Methodsmentioning

confidence: 99%

A Brief Study on the Implementation of Helical Cross-Flow Hydrokinetic Turbines for Small Scale Power Generation in the Indian SHP Sector

Jayaram

Bavanish

2022

Int. J. Renew. Energy Dev.

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“…Employing the blade element momentum (BEM) method instead of computational fluid separated flows at high Reynolds numbers. Fortunately, since the attached flow conditions are considered in this study, the k-ε turbulence model is selected for the compatibility with the other researchers' CFD validation works against the NREL experiments [14,[19][20][21].…”

Section: Introductionmentioning

confidence: 99%

A CFD Based Application of Support Vector Regression to Determine the Optimum Smooth Twist for Wind Turbine Blades

Kaya

2019

Sustainability

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Computational fluid dynamics (CFD) is a powerful tool to estimate accurately the aerodynamic loads on wind turbine blades at the expense of high requirements like the duration of computation. Such requirements grow in the case of blade shape optimization in which several analyses are needed. A fast and reliable way to mimic the CFD solutions is to use surrogate models. In this study, a machine learning technique, the support vector regression (SVR) method based on a set of CFD solutions, is used as the surrogate model. CFD solutions are calculated by solving the Reynolds-averaged Navier–Stokes equation with the k-epsilon turbulence model using a commercial solver. The support vector regression model is then trained to give a functional relationship between the spanwise twist distribution and the generated torque. The smooth twist distribution is defined using a three-node cubic spline with four parameters in total. The optimum twist is determined for two baseline blade cases: the National Renewable Energy Laboratory (NREL) Phase II and Phase VI rotor blades. In the optimization process, extremum points that give the maximum torque are easily determined since the SVR gives an analytical model. Results show that it is possible to increase the torque generated by the NREL VI blade more than 10% just by redistributing the spanwise twist without carrying out a full geometry optimization of the blade shape with many shape-defining parameters. The increase in torque for the NREL II case is much higher.

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Aerodynamic analysis of backward swept in HAWT rotor blades using CFD

Cited by 2 publications

References 16 publications

A Brief Study on the Implementation of Helical Cross-Flow Hydrokinetic Turbines for Small Scale Power Generation in the Indian SHP Sector

A Brief Study on the Implementation of Helical Cross-Flow Hydrokinetic Turbines for Small Scale Power Generation in the Indian SHP Sector

A CFD Based Application of Support Vector Regression to Determine the Optimum Smooth Twist for Wind Turbine Blades

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