View in EDS

Optimization of aerodynamic and anti-flutter performance of wind turbine blade airfoils using a Hybrid Bi-Directional Cooperative Constrained Multi-Objective Evolutionary Algorithm.

Saved in:
Bibliographic Details
Title: Optimization of aerodynamic and anti-flutter performance of wind turbine blade airfoils using a Hybrid Bi-Directional Cooperative Constrained Multi-Objective Evolutionary Algorithm.
Authors: Su, Hongjie1,2,3 (AUTHOR), Ma, Jianlong1,2,3 (AUTHOR) ma_jianlong@yeah.net, Wang, Jianwen1,2,3 (AUTHOR), Gao, Zhiying1,2,3 (AUTHOR), Pan, Wenli1 (AUTHOR), Li, Qiuyan1 (AUTHOR), Yang, Long4 (AUTHOR)
Source: Energy. Oct2025, Vol. 333, pN.PAG-N.PAG. 1p.
Subjects: Multi-objective optimization, Evolutionary algorithms, Structural optimization, Moments of inertia, Aerofoils, Wind turbine blades
Abstract: To achieve optimal aerodynamic and anti-flutter performance of large wind turbine blades, and effectively address conventional optimization problems, this paper proposes method that combines a Hybrid Bi-Directional Cooperative Constrained Multi-Objective Evolutionary Algorithm (HBC-CMOEA) with an optimized Non-Uniform Rational B-Spline (NURBS) parameterization technique. This approach establishes a mathematical model aimed at optimizing the aerodynamic and anti-flutter performance of airfoils. The results reveal that the proposed HBC-CMOEA outperforms other seven state-of-the-art Constrained Multi-objective Evolutionary Algorithms (CMOEAs) in most test cases, demonstrating its superior capabilities. The optimization significantly enhanced the aerodynamic and anti-flutter performance of DU25 and DU21 airfoils used in the NREL 5 MW blade while adhering to the maximum airfoil thickness requirement. Additionally, the DU21 airfoil achieved a 17.5 % increase in the optimal lift-to-drag ratio and a 1.12 % increase in the polar moment of inertia compared with the original levels. Similarly, the DU25 airfoil exhibited a 17.9 % improvement in the optimal lift-to-drag ratio and a 1.4 % increase in the polar moment of inertia. This approach offers an effective and innovative solution for designing new airfoils, as well as safer, more efficient, and diverse options for designers of land and offshore wind turbine blades. • Developed a multi-objective framework for airfoil shape optimization. • Proposed a Hybrid Bi-Directional Cooperative Constrained Multi-Objective Evolutionary Algorithm. • Applied the method to DU25 and DU21 airfoils, simultaneously improving their aerodynamic and anti-flutter performance. [ABSTRACT FROM AUTHOR]
Copyright of Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:To achieve optimal aerodynamic and anti-flutter performance of large wind turbine blades, and effectively address conventional optimization problems, this paper proposes method that combines a Hybrid Bi-Directional Cooperative Constrained Multi-Objective Evolutionary Algorithm (HBC-CMOEA) with an optimized Non-Uniform Rational B-Spline (NURBS) parameterization technique. This approach establishes a mathematical model aimed at optimizing the aerodynamic and anti-flutter performance of airfoils. The results reveal that the proposed HBC-CMOEA outperforms other seven state-of-the-art Constrained Multi-objective Evolutionary Algorithms (CMOEAs) in most test cases, demonstrating its superior capabilities. The optimization significantly enhanced the aerodynamic and anti-flutter performance of DU25 and DU21 airfoils used in the NREL 5 MW blade while adhering to the maximum airfoil thickness requirement. Additionally, the DU21 airfoil achieved a 17.5 % increase in the optimal lift-to-drag ratio and a 1.12 % increase in the polar moment of inertia compared with the original levels. Similarly, the DU25 airfoil exhibited a 17.9 % improvement in the optimal lift-to-drag ratio and a 1.4 % increase in the polar moment of inertia. This approach offers an effective and innovative solution for designing new airfoils, as well as safer, more efficient, and diverse options for designers of land and offshore wind turbine blades. • Developed a multi-objective framework for airfoil shape optimization. • Proposed a Hybrid Bi-Directional Cooperative Constrained Multi-Objective Evolutionary Algorithm. • Applied the method to DU25 and DU21 airfoils, simultaneously improving their aerodynamic and anti-flutter performance. [ABSTRACT FROM AUTHOR]
ISSN:03605442
DOI:10.1016/j.energy.2025.137337