NUMERICAL ANALYSES OF A STRAIGHT BLADED VERTICAL AXIS DARRIEUS WIND TURBINE: VERIFICATION OF DMS ALGORITHM AND QBLADE CODE

Year 2019, Volume: 9 Issue: 2, 195 - 208, 30.12.2019

Abdullah Muratoğlu Muhammed Sungur Demir

https://doi.org/10.36222/ejt.643483

Cited By: 3

Abstract

Wind
energy is among the most cost-effective renewable energies. Till date, turbines
with different configurations had been designed to harness wind power, each
having unique superiorities. Darrieus turbines are one of the mostly
investigated vertical axis wind turbines using either experimental or numerical
methods. Experimental analyses are time consuming works which requires high
amount of effort and expenses. Thus, computational fluid dynamics (CFD) methods
have been commonly used by scientists and engineers in order of obtaining
detailed performance and illustration of the fluid flow. Contrary to the
horizontal axis machines, Darrieus turbines are difficult to be analyzed by CFD
algorithms due to high pressure and velocity variations which arise from
extreme changes in the angle of attack beyond the stall condition at different
azimuthal position of the blades. Therefore, more simplified numerical models
are generated employing double multiple streamtube (DMS) theory together with
additional improvements. QBlade is one of the mostly used numerical methods
based on the lifting line free vortex wake method developed for calculating
rotor aerodynamics. The main objective of this study is to verify the double
multiple streamtube theory and QBlade algorithm with the experimental and
computational results reported in the scientific literature. Analysis results
represented good agreement with the previous studies especially at lower TSR
ranges. Compare to the experimental results, an overestimation in the power
coefficient is obtained at low free stream speed and high TSR ranges after
exceeding the peak point. Sensitivity of the model to the Re number variations
have also been outlined. 

Keywords

VAWT, Darrieus, experiment, CFD, validation, numerical, QBlade

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