A smart multiphysics approach for wind turbines design in industry 5.0

• Published in: Journal of industrial information integration 2024-11, Vol.42, p.100704, Article 100704
• Main Authors: Tehrani, Kambiz, Beikbabaei, Milad, Mehrizi-Sani, Ali, Jamshidi, Mo
• Format: Article
• Language: English
• Subjects: Blade profile; Genetic algorithm; Optimization; Renewable energy; Wind farm; Wind turbine
• ISSN: 2452-414X
• DOI: 10.1016/j.jii.2024.100704

This paper aims to develop a smart multiphysics approach for wind turbine design utilizing Industry 5.0. A new blade profile is developed and optimized by non-dominated sorting genetic algorithm II (NSGA-II) for shape design, and a 3D modeling of wind turbines is proposed. The aerodynamic modeling of a horizontal axis wind turbine (HAWT) is an important step in the design of wind turbines. The blade geometry design plays an important role in a wind turbine to maximize the aerodynamic performance and extract as much kinetic energy as possible from the wind resource. This paper addresses a high-level design and optimization for the parameters of a new blade. Moreover, a 3D modeling of large wind turbines (>7 MW) is proposed that can be used in wind farms. This approach can be used in real-time design in Industry 5.0 using different data from sensors. Finally, the optimized blade increases the produced power by 10% (from 7.5 MW to 8.2 MW). The proposed approach allows people to work alongside machinery to improve processes and provide personalization for companies manufacturing wind turbines. [Display omitted] •This paper discusses a new blade design, a high-level optimization and a 3D model for large wind turbines in wind farms.•Multiphysics modeling has been developed for industry 5.0.•An optimization by the genetic algorithm (GA) was made in order to increase the efficiency of wind turbines and it can be adapted easily to any turbine power size.