This article presents a comprehensive exploration of the design, modeling, and analysis of a wind turbine, employing a multidisciplinary approach to optimize its performance. The blade geometry was generated using QBlade software, a robust tool for blade design in wind turbine applications. The 3D model was then meticulously crafted using SolidWorks, integrating aerodynamic principles and structural considerations. The heart of this project lies in the utilization of SolidWorks Flow Simulation for a detailed analysis of the aerodynamic characteristics of the designed wind turbine. The simulation facilitated a thorough examination of airflow patterns, turbulence effects, and pressure distributions around the blades, offering valuable insights into the efficiency and energy-capturing potential of the turbine under various wind conditions. The blade design process involved a careful balance between aerodynamic efficiency and structural integrity. QBlade facilitated the parametric generation of blade geometries, enabling an iterative optimization process. The SolidWorks 3D model incorporated these optimized blades into a holistic turbine design, considering factors such as hub design, tower interaction, and overall system aerodynamics [1].
Cite this paper
Uddin, M. F. , Rana, M. M. H. , Sarker, J. and Hasan, M. S. (2025). Mechanical and Structural Integrity of Wind Turbines. Open Access Library Journal, 12, e2720. doi: http://dx.doi.org/10.4236/oalib.1112720.
Alaskari, M., Abdullah, O. and Majeed, M.H. (2019) Analysis of Wind Turbine Using QBLADE Software. IOP Conference Series: Materials Science and Engineering, 518, Article ID: 032020. https://doi.org/10.1088/1757-899x/518/3/032020
Hansen, M.H., Sørensen, N.N. and Madsen, H.A. (2003) A Beddoes-Leishman Type Dynamic Stall Model in State-Space and Indicial Formulations. Risø National Laboratory.
Gøçmen, T. and Özerdem, B. (2012) Airfoil Optimization for Noise Emission Problem and Aerody-namic Performance Criterion on Small Scale Wind Turbines. Energy, 46, 62-71. https://doi.org/10.1016/j.energy.2012.05.036
Hand, M., Simms, D., Fingersh, L., Jager, D., Cotrell, J. and Schreck, S. (2001) Un-steady Aerodynamics Experiment Phase VI: Wind Tunnel Test Configura-tions and Available Data Campaigns. National Renewable Energy Laboratory (NREL).
Mittal, G. and Kumar, V. (2019) A Review on Computational Fluid Dynamics Ap-plications in Wind Energy. Journal of Renewable and Sustainable Ener-gy Reviews, 108, 94-115.
Hansen, M.O.L. and Sørensen, N.N. (2007) Wind Tunnel and Computational Fluid Dynamics Calculations of the NREL Phase VI Ex-periment. Wind Energy, 10, 517-528.
Ning, A., Liu, H. and He, Y. (2017) Struc-tural Optimization and Fatigue Analysis of Wind Turbine Tower Based on ANSYS. Proceedings of the International Conference on Structural Engineering (ICSE 2017), Trondheim, 25-30 June 2007.
Jonkman, J., Butterfield, S., Musial, W. and Scott, G. (2009) Definition of a 5-MW Reference Wind Turbine for Offshore System Development. National Renewable Energy Laboratory, Technical Report No. NREL/TP-500-38060.
Martinez-Tossas, L.A., Ning, A. and Chamorro, L.P. (2020) Wind Tunnel Testing of a Multirotor Wind Turbine. Journal of Renewable and Sustainable Energy, 12, Article ID: 053302.
Sathish, T. (2019) Fluid Flow Anal-ysis of Composite Material-Based Wind Turbine Blades Using Ansys. International Journal of Ambient Energy, 42, 1396-1399. https://doi.org/10.1080/01430750.2019.1608861
Barthelmie, R.J., Hansen, K.S., Frandsen, S.T. and Politis, E.S. (2010) Modelling and Measurements of Atmospheric Flow in the Coastal Zone. Wind Energy, 13, 261-273.
Lee, J., Johnson, K., Damiani, R. and Hill, C. (2014) Impact of Wind Farm Layouts on Wake Loading. Journal of Physics: Confer-ence Series, 524, Article ID: 012180.
Devine‐Wright, P. (2004) Beyond NIMBYism: Towards an Integrated Framework for Understanding Public Perceptions of Wind Energy. Wind Energy, 8, 125-139. https://doi.org/10.1002/we.124
Molina, A., Fernández-Jiménez, L.A. and Gar-cia-Alvarez, M.T. (2018) An Integrated Framework for Environmental Impact As-sessment of Offshore Wind Energy Projects. Energies, 11, Article No. 3449.
IEA (2023) Net Onshore Wind Electricity Capacity Additions by Country or Region, 2022-2024. https://www.iea.org/data-and-statistics/charts/net-onshore-wind-electricity-capacity-additions-by-country-or-region-2022-2024