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Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman

Research Article

Structural Evaluation of Small-Scale Wind Turbine Blades for Enhanced Energy Capture

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  • @INPROCEEDINGS{10.4108/eai.1-5-2025.2361537,
        author={Ahmed  Al Sawaai and Elias  Al Ghunaimi and Mohamed  Al Balushi and Mohsin  Al Hamadani},
        title={Structural Evaluation of Small-Scale Wind Turbine Blades for Enhanced Energy Capture},
        proceedings={Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman},
        publisher={EAI},
        proceedings_a={MECSRC},
        year={2026},
        month={3},
        keywords={wind turbine blades aerodynamics cfd fea blade design renewable energy oman wind resource},
        doi={10.4108/eai.1-5-2025.2361537}
    }
    
  • Ahmed Al Sawaai
    Elias Al Ghunaimi
    Mohamed Al Balushi
    Mohsin Al Hamadani
    Year: 2026
    Structural Evaluation of Small-Scale Wind Turbine Blades for Enhanced Energy Capture
    MECSRC
    EAI
    DOI: 10.4108/eai.1-5-2025.2361537
Ahmed Al Sawaai1,*, Elias Al Ghunaimi1, Mohamed Al Balushi1, Mohsin Al Hamadani1
  • 1: Middle East College
*Contact email: 24s2535@mec.edu.om

Abstract

This study presents the aerodynamic design, modelling, and structural evaluation of small-scale wind turbine blades aimed at improving power extraction in low-to-moderate wind speed regions. The project incorporates blade geometry development, computational fluid dynamics (CFD), finite element analysis (FEA), and prototype fabrication. A comprehensive review of wind turbine evolution, blade aerodynamics, and wind resource characteristics in Oman establishes the background for the design. The methodology includes air foil selection, blade segmentation, load estimation, and performance simulation under realistic wind conditions. Experimental testing is conducted through static and fatigue analysis to assess structural reliability. The results indicate that optimized blade geometry supports improved lift-to-drag ratios, reduced deformation, and enhanced performance. The findings contribute to the advancement of efficient small-scale wind energy solutions for distributed renewable energy applications.

Keywords
wind turbine blades, aerodynamics, cfd, fea, blade design, renewable energy, oman wind resource
Published
2026-03-18
Publisher
EAI
http://dx.doi.org/10.4108/eai.1-5-2025.2361537
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