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Multi-objective aerodynamic and structural integrated optimization design of wind turbines at the system level through a coupled blade-tower model

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  • Zhu, Jie
  • Zhou, Zhong
  • Cai, Xin

Abstract

This paper presents a method for multi-objective optimization design of wind turbines at the system level through a coupled blade-tower model, aiming at finding the coupling effects between blade and tower and improving the wind turbines’ performances. The formulation and implementation that enable the aerodynamic and structural integrated design of the blade and tower simultaneously are detailed. The maximum annual energy production (AEP) and the minimum wind turbine mass are taken as two conflicted objectives. Main aerodynamic and structural parameters of the blade and tower are employed as design variables. Various design requirements including stress, strain, deflection, vibration and buckling limits are considered as constraints. The blade element momentum (BEM) theory combined with the finite element method (FEM) are applied to evaluate the aerodynamic performances and structural behaviors of the turbine. Moreover, the non-dominated sorting genetic algorithm (NSGA) II is used to achieve the best trade-off solutions between the objectives. To show the efficiency and reliability of the method, a commercial 1.5 MW wind turbine is used as a case study. Satisfactory results that can both increase the AEP and decrease the mass are obtained, which are superior to the results achieved by optimizing the blade and tower separately.

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  • Zhu, Jie & Zhou, Zhong & Cai, Xin, 2020. "Multi-objective aerodynamic and structural integrated optimization design of wind turbines at the system level through a coupled blade-tower model," Renewable Energy, Elsevier, vol. 150(C), pages 523-537.
    • Handle: RePEc:eee:renene:v:150:y:2020:i:c:p:523-537
    DOI: 10.1016/j.renene.2020.01.013
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    References listed on IDEAS

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    Cited by:

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    3. Al-Sanad, Shaikha & Wang, Lin & Parol, Jafarali & Kolios, Athanasios, 2021. "Reliability-based design optimisation framework for wind turbine towers," Renewable Energy, Elsevier, vol. 167(C), pages 942-953.
    4. Dan Li & Hongbing Bao & Ning Zhao, 2023. "Research of Turbine Tower Optimization Based on Criterion Method," Energies, MDPI, vol. 16(2), pages 1-17, January.
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    6. Zuo, Haoran & Bi, Kaiming & Hao, Hong & Xin, Yu & Li, Jun & Li, Chao, 2020. "Fragility analyses of offshore wind turbines subjected to aerodynamic and sea wave loadings," Renewable Energy, Elsevier, vol. 160(C), pages 1269-1282.

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