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futurepublishingllc.com article

Optimization of wind turbine blade designs using computational fluid dynamics and structural analysis - Future Publishing LLC

https://futurepublishingllc.com?p=6729

* Optimization of wind turbine blade designs using computational fluid dynamics and structural analysis. **Paper Title:** Optimization of wind turbine blade designs using computational fluid dynamics and structural analysis: a review. **Corresponding Author:** Sudheer Choudari (sudheer.13031@gmail.com)/ India. Wind turbine blade optimization requires coordinated improvement of aerodynamic efficiency, structural reliability, fatigue life, manufacturability, and computational cost. This systematic literature review synthesizes studies on wind turbine blade design optimization using computational fluid dynamics and structural or aeroelastic analysis, with attention to design variables, modeling approaches, coupling strategies, optimization methods, validation practices, and limitations. The literature clustered into three streams: CFD-based aerodynamic shape optimization, especially airfoil, blade-tip, chord, twist, and sweep refinement; aeroelastic or multidisciplinary optimization balancing annual energy production with loads, fatigue, and control constraints; and structural or composite optimization addressing mass, stiffness, stress, deflection, buckling, laminate design, and manufacturability. Wind turbine blade, CFD, Structural analysis, Aero-structural optimization. Optimization of wind turbine blade designs using computational fluid dynamics and structural analysis: a review.

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psecommunity.org article

[PDF] Integrated Surrogate Optimization of a Vertical Axis Wind Turbine

https://psecommunity.org/wp-content/plugins/wpor/includes/file/2303/LAPSE-202…

  Citation: Moreno-Armendáriz, M.A.; Ibarra-Ontiveros, E.; Calvo, H.; Duchanoy, C.A. Integrated Surrogate Optimization of a Vertical Axis Wind Turbine. energies Article Integrated Surrogate Optimization of a Vertical Axis Wind Turbine Marco A. This computational model is used to evaluate the performance of the wind turbine in terms of its power coefficient (Cp). Subsequently, a full factorial design of experiments (DOE) is defined to obtain a representative sample of the search space on the geometry of the wind turbine. Later, a surrogate model of the wind turbine is fitted to estimate its performance using machine learning algorithms. Finally, a process of optimization of the geometry of the wind turbine is carried out employing metaheuristic optimization algorithms to maximize its Cp; the final optimized designs are evaluated using the computational model for validating their performance.

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scispace.com article

[PDF] Integrated aero-structural optimization of wind turbines - SciSpace

https://scispace.com/pdf/integrated-aero-structural-optimization-of-wind-turb…

20 Table 1 Main parameters of the DTU 10 MW RWT Data Value Wind class IEC 1A Rated power 10 MW Cut-in wind speed 4 m/s Cut-out wind speed 25 m/s Rotor diameter 178.3 m Hub height 119.0 m (a) Main structural components (b) Secondary core structures Figure 8 Configuration of the blade section Table 2 Extent of the structural components and their materials Component Starting section Ending section Material (% span) (% span) type External shell 0 100 Stitched triaxial -45/0/+45 fiberglass Spar caps 1 99.8 Unidirectional fiberglass First and second 5 99.8 Stitched biaxial shear webs -45/+45 fiberglass Third shear web 22 95 Stitched triaxial -45/0/+45 fiberglass Trailing and leading 10 95 Unidirectional edge reinforcements fiberglass Root reinforcement 0 45 Unidirectional fiberglass External shell core 5 99.8 Balsa Web core 5 99.8 Balsa Table 3 Material properties Material type Longitudinal Young’s Transversal Young’s Shear modulus modulus [MPa] modulus [MPa] [MPa] Stitched triaxial 21790 14670 9413 -45/0/+45 fiberglass Unidirectional 41630 14930 5047 fiberglass Stitched biaxial 13920 13920 11500 -45/+45 fiberglass Balsa 50 50 150 21 Before proceeding with the test of the aero-structural design algorithms, the RWT blade was subjected to a mono-disciplinary multi-level structural optimization performed using the current tools, in order to refine certain aspects of its design.

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publications.isope.org article

[PDF] Design Optimization of Wind Turbine Support Structures—A Review

http://publications.isope.org/jowe/jowe-01-1/JOWE-01-1-p012-jcr10-Muskulus.pdf

12–22 13 Fig. 2 Example for nontrivial design solution obtained during the automated optimization of a complex wind turbine support structure after 214 iterations (using the method from Molde et al., 2014). Load mitigation is an important topic in itself; it is possible to reduce the design-limiting loads on turbine towers and support structures by both passive or active dampers (Colwell and Basu, 2009; Lackner and Rotea, 2011) and by implementing advanced control strategies, e.g., combined with LIDAR monitoring of the wind field that allows predicting environmental loads before they hit the turbine (Bossanyi et al., 2012; Schlipf et al., 2013). “Site-Specific Design Optimization of Wind Turbines,” Wind Energy, Vol 5, pp 261–279. “Preliminary Design of Bottom-Fixed Lattice Offshore Wind Turbine Towers in the Fatigue Limit State by the Frequency Domain Method,” J Offshore Mech Arct Eng, Vol 134, pp 031902:1–10. “System Design of a Wind Turbine Using a Multi-Level Optimization Approach,” Renewable Energy, Vol 43, pp 101–110. “Iterative Optimization Approach for the Design of Full-Height Lattice Towers for Offshore Wind Turbines,” Energy Procedia, Vol 24, pp 297–304.

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