Advances in Aerodynamics· 2026Q1
Aeroelastic optimization of a small scale horizontal axis wind turbine using particle swarm algorithm
- 0citations
- Q1SCImago
- 2026year
Short summary
Optimized flexible wind turbine blades achieved a 12.5% aerodynamic performance improvement, 7.15% weight reduction, and 22% less displacement compared to a baseline.
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Key points
- Optimized blade design parameters include chord/twist distributions, tip speed ratio, and material.
- Design constraints include modal frequencies, allowable stress, and tip deformation.
- Objectives are to maximize aerodynamic performance and minimize blade mass.
- Optimized blades achieved 12.5% better aerodynamics, 7.15% less weight, and 22% reduced displacement.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract The multi-objective optimization of a horizontal axis wind turbine blade is performed to optimize its aerodynamic and structural performance by coupling two-way fluid–structure interaction (FSI) with a multi-objective particle swarm optimization (MOPSO) algorithm. The design parameters include chord and twist distributions, tip speed ratio, and blade material, while modal frequencies, allowable stress, and tip deformation were set as design constraints. The objectives are to maximize aerodynamic performance and reduce blade mass while ensuring structurally safe operation. Blade deformation in the flapwise and edgewise directions induces oscillatory velocity and alters the twist distribution, thereby changing the apparent angle of attack. Variations in the relative wind speed and the angle of attack affect the blade’s aeroelastic performance. The reduced deformation of the optimized flexible blade results in a higher pressure coefficient and lower stress. Compared with the baseline blade, the optimized flexible blade demonstrates a 12.5% improvement in aerodynamic performance, a 7.15% reduction in weight, and a 22% reduction in blade displacement.
The authors' abstract, as published at the source. Advances in Aerodynamics, 2026 · DOI ↗
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Field: Aerospace Engineering
Aerospace EngineeringEngineering