Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)

Relationship between Blade Shape Optimisation and Wind Energy Conversion Efficiency

Authors
Changze Xu1, *
1Anji Lanrun Angel Foreign Language Experimental School, Zhejiang, China
*Corresponding author. Email: yuewe@ldy.edu.rs
Corresponding Author
Changze Xu
Available Online 23 October 2025.
DOI
10.2991/978-94-6463-864-6_75How to use a DOI?
Keywords
Wind Turbine Blades; Blade Shape Optimization; Wind Energy Conversion Efficiency; Computational Fluid Dynamics (CFD); Multi-Objective Optimization
Abstract

Blade shape plays a critical role in determining the energy conversion efficiency of wind turbines. This paper investigates the relationship between blade geometry and wind energy conversion, analysing how parameters such as chord length, twist angle, and camber affect aerodynamic performance. With global wind power capacity rapidly expanding, the efficient use of wind energy has become a key focus in sustainable energy development. The study reviews aerodynamic principles and introduces advanced optimisation techniques, including Computational Fluid Dynamics (CFD), multi-objective optimisation algorithms, and intelligent control strategies. Case studies demonstrate that optimised blade designs can significantly enhance energy conversion by up to 8.3% in some configurations and reduce noise and maintenance costs. Furthermore, the integration of smart materials and embedded sensors into blade systems is driving the development of intelligent, adaptive wind turbines. Despite these advancements, challenges remain in balancing aerodynamic efficiency, structural stability, and economic viability. This paper provides both theoretical foundations and practical guidance for the design and optimisation of wind turbine blades, offering valuable insights for researchers and engineers working to improve renewable energy systems and achieve long-term sustainability goals.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)
Series
Advances in Engineering Research
Publication Date
23 October 2025
ISBN
978-94-6463-864-6
ISSN
2352-5401
DOI
10.2991/978-94-6463-864-6_75How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Changze Xu
PY  - 2025
DA  - 2025/10/23
TI  - Relationship between Blade Shape Optimisation and Wind Energy Conversion Efficiency
BT  - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)
PB  - Atlantis Press
SP  - 866
EP  - 875
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-864-6_75
DO  - 10.2991/978-94-6463-864-6_75
ID  - Xu2025
ER  -