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Vol.1, No.2, 2022: pp.35-39

INCREASING WIND TURBINE EFFICIENCY USING SOFTWARE PACKAGES

Authors:

Djordje Karić

Received: 11.04.2022.
Accepted: 17.06.2022.
Available: 30.06.2022.

Abstract:

Wind energy is a clean source of energy. Wind turbine efficiency is affected by wind speed, Reynolds number, density, humidity, and air temperature, as well as other factors. The conversion of wind kinetic energy into the rotational movement of the wind turbine is performed thanks to the aerodynamic profile of the blade. Due to the large number of factors that affect the efficiency of work, complex mathematical models and software packages, specialized for this purpose, are used to shape the profile of the wind turbine blade. This paper presents the application of software packages for the design of the blade profile depending on the geographical location and meteorological conditions prevailing in the area, to achieve greater efficiency, that is, the production of a larger amount of electricity.

Keywords:

Wind turbines, wind farms, renewable energy sources, aerodynamics, software engineering

References:

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© 2022 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)

Volume 3
Number 1
March 2024.

 

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How to Cite

D. Karić, Increasing Wind Turbine Efficiency Using Software Packages. Advanced Engineering Letters, 1(2), 2022: 35–39.
https://doi.org/10.46793/adeletters.2022.1.2.1

More Citation Formats

Karić, D. (2022). Increasing Wind Turbine Efficiency Using Software Packages. Advanced Engineering Letters1(2), 35–39. https://doi.org/10.46793/adeletters.2022.1.2.1

Karić, Djordje. “Increasing Wind Turbine Efficiency Using Software Packages.” Advanced Engineering Letters, vol. 1, no. 2, 2022, pp. 35–39, https://doi.org/10.46793/adeletters.2022.1.2.1.

Karić, Djordje. 2022. “Increasing Wind Turbine Efficiency Using Software Packages.” Advanced Engineering Letters 1 (2): 35–39. https://doi.org/10.46793/adeletters.2022.1.2.1.

Karić, D. (2022).Increasing Wind Turbine Efficiency Using Software Packages. Advanced Engineering Letters, 1(2), pp.35–39. doi: 10.46793/adeletters.2022.1.2.1.