Abstract
Blade geometry is an important design parameter that influences global wind turbine energy harvesting performances. The geometric characteristics of the blade profile are obtained by determining the distribution of the chord and twist angle for each blade section. In order to maximize the wind energy production, implying a maximum lift-to-drag ratio for each wind speed, this distribution should be optimized. This paper presents a methodology to numerically determine the change in the twist angle by introducing a range of pitch angles for the maximum power coefficient case. The obtained pitch values were distributed from the root to the tip of blade. The results prove that the power coefficient increases for wind speeds greater than the rated point, which improves the yearly production of energy by 5% compared to the reference case.
Highlights
Wind energy represents a very important and largely used green energy source
The results demonstrated that the new design enables an increased annual energy production (AEP) compared to the preliminary design
Starting from the results of the blade element momentum (BEM) MATLAB programming code, the modified models were tested in the three installation sites that have mean wind speeds of 5, 6, and
Summary
Wind energy represents a very important and largely used green energy source. The extraction of this energy is based on wind turbines, which can have many types of designs, among which it is remarked that the horizontal-axis wind turbine represents the most commonly used one. This type of wind turbine can extract over 40% of the wind kinetic energy [1] The efficiency of this process is strongly related to the blade geometry, the profile of each section having a specific aerodynamic shape that allows rotation of the blade under the wind flow by generating a tangential force. The intensity of this force is related to the lift-to-drag ratio, which has a specific value for each wind speed [2]
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