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Research Article

Performance optimization of a horizontal axis wind turbine simulator under the effects of blade’s pitch angle variation

Abdulhamid Hamdan Al-Hinai, Karu Clement Varaprasad, V. Vinod Kumar

Department of Mechanical and Mechatronic Engineering, Sohar University, Sohar, Oman

Keywords

Abstract


Blade pitch angle;

 Power output;

 Rotational speed;

 Vibration level;

 Wind turbine






The optimization of wind turbine performance is a critical issue for enhancing energy conversion efficiency. This study investigates the effects of blade pitch angles and Variable Frequency Drive settings on the performance of a wind turbine system using the Spectra Quest wind turbine simulator. Employing a Taguchi design of experiments with a full factorial approach, a total of 81 experimental tests are conducted to analyze the influence of three blade pitch angles (0°, 10°, and 20°) combined with three distinct Variable Frequency Drive settings (12, 15, and 18) on shaft rotational speed, power output, and vibration levels. Using Taguchi's response analysis and analysis of variance, this research identifies Variable Frequency Drive as the most influential factor on turbine performance metrics. Regression modelling further elucidates the complex relationships between the operational parameters and performance outcomes. The results reveal significant interactions between the input parameters and demonstrate that lower blade pitch angles in conjunction with higher Variable Frequency Drive settings maximize both shaft rotational speed (171 rpm) and power output (24.102 W), maintaining acceptable vibration levels. The best pitch angle input parameters are found to be β1=0o, β2=0o and β3=0o with a VFD setting of 18. A notable increase in air resistance at higher pitch angles corroborates the findings of previous studies, highlighting the need for optimal parameter settings to enhance turbine efficiency.

© 2024 MIM Research Group. All rights reserved.

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Dear readers,

Thank you for your immense interest and support for our journal. Starting in 2025, we are increasing our annual publication frequency from 4 to 6 issues to bring you even more content! We will continue to share groundbreaking research and innovative ideas with you through our new issues.With your support, we keep growing and evolving. 

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Journal of Research on Engineering Structures and Materials has been accepted for inclusion in the Ei Compendex index. Ei Compendex, formerly known as the Engineering Index, is one of Elsevier's flagship databases, renowned for providing comprehensive and reliable content in the field of engineering dating back to 1884. This inclusion will enhance the visibility of our journal and further support the dissemination of high-quality research.


20/04/2024 Collaboration for HSTD-2024Editorial Board of our journal and Organizing Committee of the III. International Conference on High-Speed Transport Development (HSTD) have agreed to collaborate. Extended versions of the selected papers from the conference will be published in our journal. For more see Events.

20/04/2024 Collaboration for DSL2024-SS1Editorial Board of our journal and Organizing Committee of the DSL2024 Fluid Flow, Energy Transfer & Design (SS1) have agreed to collaborate. Extended versions of the selected papers from the session will be published in our journal. For more see Events. .



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LATEST AWARDS


2023 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.



2023 Best Paper Award:

The paper authored by Ferzan Fidan, Naim Aslan, Mümin Mehmet Koç entitled as “Morpho-structural and compressive mechanical properties of graphene oxide reinforced hydroxyapatite scaffolds for bone tissue applications” is awarded.



2023 Most Cited Paper Award:

The paper authored by Ercan Işık, Ehsan Harirchian, Hüseyin Bilgin, Kirti Jadhav entitled as “The effect of material strength and discontinuity in RC structures according to different site-specific design spectra" is awarded.


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