CONSTRUCTION AND ANALYSIS OF HIGH-PRECISION CFD SCALED MODELS FOR LARGE-SCALE WIND WHEELS

Yi Zixin; Gao Guoqiang; Dai Juchuan; Yue Wenhui; Zhang Fan

doi:10.19912/j.0254-0096.tynxb.2023-0231

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (12) : 341-348. DOI: 10.19912/j.0254-0096.tynxb.2023-0231

CONSTRUCTION AND ANALYSIS OF HIGH-PRECISION CFD SCALED MODELS FOR LARGE-SCALE WIND WHEELS

Yi Zixin, Gao Guoqiang, Dai Juchuan, Yue Wenhui, Zhang Fan

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Abstract

In the process of aerodynamic analysis of high-power wind turbines, the calculation accuracy of BEM theory is not high, and the calculation time of 3D CFD simulation is long. Based on the data of a 5 MW wind turbine blade profile, the calculation accuracy and efficiency of BEM and CFD under different wind turbine scales are analyzed. Based on the principle of similarity, the proportional relationships of geometric, kinematic and mechanical parameters between the scaled model and the prototype are deduced. And the aerodynamic performance of the wind-electric blade under different geometric scales is compared. Taking geometric scale as reference, a large-scale wind wheel model with high precision is established. Then the computational accuracy and efficiency of CFD numerical simulation with the scaled model are analyzed under various conditions. The results show that the relative difference between the analysis results of BEM and CFD increases with the wind turbine size. The aerodynamic performance of the scaled model for large-scale wind turbine can keep basically consistent with that of the prototype model under various conditions. However, the computational efficiency for aerodynamic analysis is significantly improved.

Key words

wind turbines / blades / similarity theory / computational fluid dynamics （CFD） / scale model / blade element momentum （BEM）

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Yi Zixin, Gao Guoqiang, Dai Juchuan, Yue Wenhui, Zhang Fan. CONSTRUCTION AND ANALYSIS OF HIGH-PRECISION CFD SCALED MODELS FOR LARGE-SCALE WIND WHEELS[J]. Acta Energiae Solaris Sinica. 2023, 44(12): 341-348 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0231

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