Wind and Structures

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Modeling and experimental comparative analysis on the performance of small-scale wind turbines

  • Basta, Ehab (Department of Mechanical Engineering, American University of Sharjah) ;
  • Ghommem, Mehdi (Department of Mechanical Engineering, American University of Sharjah) ;
  • Romdhane, Lotfi (Department of Mechanical Engineering, American University of Sharjah) ;
  • Abdelkefi, Abdessattar (Department of Mechanical and Aerospace Engineering, New Mexico State University)
  • Received : 2019.04.02
  • Accepted : 2020.01.04
  • Published : 2020.03.25
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Abstract

This paper deals with the design, wind tunnel testing, and performance analysis of small wind turbines targeting low-power applications. Three different small-size blade designs in terms of size, shape, and twisting angle are considered and tested. We conduct wind tunnel tests while measuring the angular speed of the rotating blades, the generated voltage, and the current under varying resistive loading and air flow conditions. An electromechanical model is also used to predict the measured voltage and power and verify their consistency and repeatability. The measurements are found in qualitative agreement with those reported in previously-published experimental works. We present a novel methodology to estimate the mechanical torque applied to the wind turbine without the deployment of a torque measuring device. This method can be used to determine the power coefficient at a given air speed, which constitutes an important performance indicator of wind turbines. The wind tunnel tests revealed the capability of the developed wind turbines to deliver more than 1225 mW when subject to an air flow with a speed of 7 m/s. The power coefficient is found ranging between 26% and 32%. This demonstrates the aerodynamic capability of the designed blades to extract power from the wind.

Keywords

Acknowledgement

Supported by : American University of Sharjah

The study presented in the paper was financially supported via the faculty research grants (FRG17-R-030 and EN6001) from the American University of Sharjah.

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