Energy Conversion Performance of Horizontal-Axis Wind Turbines under Variations in Blade Geometry

Authors

  • Hamid Irhayyim Abdulhussein Imari Iran University of Science and Technology

DOI:

https://doi.org/10.31185/wjes.Vol14.Iss2.890

Keywords:

Horizontal-axis wind turbine, Blade geometric parameters, Energy conversion efficiency, Chord length and twist angle distributions, Blade aerodynamic analysis, Numerical simulation

Abstract

This paper presents a three-dimensional numerical investigation of the aerodynamic behavior of a horizontal-axis wind turbine (HAWT) blade based on the experimental NREL Phase VI model. The objective is to evaluate how selective geometric modifications affect energy conversion efficiency under different wind conditions. The reference blade geometry was reconstructed from experimental data, and a computational model was developed in ANSYS Fluent by solving the steady Reynolds-averaged Navier–Stokes (RANS) equations coupled with the k–ω SST turbulence model. The baseline model was validated against measured aerodynamic torque at a free-stream wind speed of 7 m/s, showing deviations below 10%. After validation, seven alternative blade designs were created by adjusting chord length and twist angle distributions along the span. Their aerodynamic performance was assessed at wind speeds of 5, 7, 9, and 11 m/s in terms of torque, power, and power coefficient (Cp). The results show that the impact of geometric changes depends strongly on wind speed and blade region. Root modifications mainly improved starting torque at low wind speeds, whereas mid-span changes increased power and Cp at moderate speeds. Conversely, adjustments aimed at reducing downwind aerodynamic stresses enhanced power at higher wind speeds. Among all configurations, simultaneous modifications of chord and twist produced the most balanced and stable performance over a wider operating range. Overall, the findings demonstrate that relatively small geometric changes can improve wind turbine performance. The proposed numerical framework offers a method for design and optimization of HAWT blades.

References

[1] G. M. Joselin Herbert, S. Iniyan, E. Sreevalsan, and S. Rajapandian, ,“A review of wind energy technologies,” Renewable and Sustainable Energy Reviews, vol. 11, no. 6, pp. 1117–1145, Aug. doi: 10.1016/j.rser.2005.08.004.2007.

[2] J. F. Manwell, J. G. McGowan, and A. L. Rogers,, Wind Energy Explained: Theory, Design and Application, 2nd ed. Chichester, U.K.: John Wiley & Sons, doi: 10.1002/9781119994367.2009.

[3] M. O. L. Hansen, Aerodynamics of Wind Turbines, 3rd ed. London, U.K.: Routledge, doi: 10.4324/9781315769981.2015.

[4] T. Burton, D. Sharpe, N. Jenkins, and E. Bossanyi, Wind Energy Handbook, 2nd ed. Chichester, U.K.: John Wiley & Sons, doi: 10.1002/9781119992714.2011.

[5] J. N. Sørensen, ,“Aerodynamic aspects of wind energy conversion,” Annual Review of Fluid Mechanics, vol. 43, pp. 427–448, , doi: 10.1146/annurev-fluid-122109-160801.2011.

[6] N. Khlaifat, A. Altaee, J. Zhou, and Y. Huang, “A review of the key sensitive parameters on the aerodynamic performance of a horizontal wind turbine using computational fluid dynamics modelling,” AIMS Energy, vol. 8, no. 3, pp. 493–524, doi: 10.3934/energy.2020.3.493.2020.

[7] L. Zhou, X. Shen, L. Ma, J. Chen, H. Ouyang, and Z. Du,, “Unsteady aerodynamics of the floating offshore wind turbine due to the trailing vortex induction and airfoil dynamic stall,” Energy, vol. 304, Art. no. 131845, doi: 10.1016/j.energy.2024.131845.2024.

[8] J. Johansen and N. N. Sørensen, ,“Aerofoil characteristics from 3D CFD rotor computations,” Wind Energy, vol. 7, no. 4, pp. 283–294 , doi: 10.1002/we.127.2004.

[9] C. Yiğit and U. Durmaz, “Wind turbine blade design with computational fluid dynamics analysis,” International Journal of Computational and Experimental Science and Engineering (IJCESEN), vol. 3, no. 2, pp. 44–49 .2017.

[10] O. Polat and I. H. Tuncer,(2013), “Aerodynamic shape optimization of wind turbine blades using a parallel genetic algorithm,” Procedia Engineering, vol. 61, pp. 28–31, doi: 10.1016/j.proeng.2013.07.149.

[11] M. Caboni, E. Minisci, and A. Riccardi, “Aerodynamic design optimization of wind turbine airfoils under aleatory and epistemic uncertainty,” Journal of Physics: Conference Series, vol. 1037, no. 4, Art. no. 042011 , doi: 10.1088/1742-6596/1037/4/042011.2018.

[12] N. E. Boumezbeur and A. Smaili, “An aerodynamic optimization approach for wind turbine blades using proper generalized decomposition,” Energies, vol. 18, no. 21, Art. no. 5846, doi: 10.3390/en18215846.2025.

[13] H. Su et al.,,“Optimization of aerodynamic and anti-flutter performance of wind turbine blade airfoils using a hybrid bi-directional cooperative constrained multi-objective evolutionary algorithm,” Energy, vol. 333, Art. no. 137337, doi: 10.1016/j.energy.2025.137337.2025.

[14] M. Gao, A. Sun, Y. Zhang, and H. You,, “Application of blades aerodynamic optimization design platform based on the performance of offshore wind turbines,” Marine Energy Research, vol. 2, no. 4, Art. no. 10017, doi: 10.70322/mer.2025.10017.2025.

[15] A. A. Firoozi, F. Hejazi, and A. A. Firoozi, ,“Advancing wind energy efficiency: A systematic review of aerodynamic optimization in wind turbine blade design,” IDEAS/RePEc .2024.

[16] M. M. Alam, ,“A review of wind turbine blade morphing: Power, vibration, and noise,” Fluid Dynamics&Materials Processing, .2025.

[17] A. Najafian and A. Jahangirian,, “Energy optimization through morphing blade design under structural constraints: A case study on the NREL 1.5 MW wind turbine,” Science and Technology for Energy Transition, vol. 80, Art. no. 42 doi: 10.2516/stet/2025023.2025

[18] A. E. Faisal et al., “Optimizing the aerodynamic performance of Archimedes spiral wind turbines: A parametric study on blade angle and length at constant radius,” Results in Engineering, vol. 27, Art. no. 105785, doi: 10.1016/j.rineng.2025.105785.2025.

[19] J. Deparday, Y. Marikovskiy, I. Abdallah, and S. Barber, “An aerodynamic measurement system to improve the efficiency of wind turbine rotor blades,” arXiv preprint, arXiv:2503.08860 , doi: 10.48550/arXiv.2503.08860.2025.

[20] J. M. Catalán, G. Arranz, M. Moriche, M. Guerrero-Hurtado, M. García-Villalba, and O. Flores, ,“Aerodynamic performance and robustness of a nature-inspired concept for a micro-scale wind turbine,” arXiv preprint, arXiv:2509.24998 doi: 10.48550/arXiv.2509.24998.2025.

[21] F. Lagos et al, “Recent advances in the analysis of functional and structural polymer composites for wind turbines,” Polymers, vol. 17, no. 17, Art. no. 2339, doi: 10.3390/polym17172339.2025.

[22] Z. Zhang, W.-L. Chen, and J. Liu, “Aerodynamic design and analysis for offshore wind turbine blade model,” Energy, vol. 330, Art. no. 136659, doi: 10.1016/j.energy.2025.136659.2025

[23] C. Xu, “Relationship between blade shape optimisation and wind energy conversion efficiency,” in Proc. 2025 2nd Int. Conf. Electrical Engineering and Intelligent Control (EEIC 2025), Advances in Engineering Research, doi: 10.2991/978-94-6463-864-6_75.2025

[24] A. Nabhani, N. M. Tousi, M. Coma, G. Bugeda, and J. M. Bergada,,“Large-scale horizontal axis wind turbine aerodynamic efficiency optimization using active flow control and synthetic jets,” arXiv preprint, arXiv:2407.20746, doi: 10.48550/arXiv.2407.20746.2024

[25] Y. Huang and M. Ge, “Aerodynamic modeling of wind turbine blade considering bending deformation: A modified vortex cylinder model,” Physics of Fluids, vol. 37, Art. no. 097109, doi: 10.1063/5.0286547.2025

[26] S. Zhu, H. Tian, H. Zhang, and S. Wang, , “A robust optimization method for wind turbine blade integration based on modal parameterization,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, vol. 47, no. 2 , doi: 10.1080/15567036.2025.2547080.2025

[27] A. Najafian and A. Jahangirian, “Maximum annual energy production of a 1.5 MW wind turbine using optimum morphing blades at different control management scenarios,” Energy Conversion and Management, vol. 326, Art. no. 119429, doi: 10.1016/j.enconman.2024.119429.2025

[28] X. Wang, H. Li, H. Baoyin, S. Han, and C. Bao, , “Aerodynamic optimization of wind turbine blades via surrogate-assisted deep reinforcement learning,” Physics of Fluids, vol. 37, Art. no. 047141, doi: 10.1063/5.0256389.2025

[29] W. K. Abbas, M. Abbasalizadeh, and S. Khalilarya, “Design optimization and performance investigation of a micro wind turbine for domestic dwelling used for renewable generation system,” Energy Science & Engineering, vol. 13, no. 6, pp. 3386–3409, doi: 10.1002/ese3.70109.2025

[30] H. Seifi Davari, R. M. Botez, M. Seify Davari, and H. Chowdhury, “Enhancing the efficiency of horizontal axis wind turbines through optimization of blade parameters,” Journal of Engineering, Art. no. 8574868, doi: 10.1155/2024/8574868.2024

[31] R. Zha et al., ,“A review on performance calculation and design methodologies for horizontal-axis wind turbine blades,” Energies, vol. 18, no. 2, Art. no. 435, doi: 10.3390/en18020435.2025

Downloads

Published

2026-06-01

How to Cite

Abdulhussein Imari, H. I. (2026). Energy Conversion Performance of Horizontal-Axis Wind Turbines under Variations in Blade Geometry. Wasit Journal of Engineering Sciences, 14(2), 357-374. https://doi.org/10.31185/wjes.Vol14.Iss2.890