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Simulation of Vertical Solar Power Plants with Different Turbine Blades

by Yuxing Yang, Peng Zhang*, Meng Lv

Xi’an Branch of North China Electric Power Research Institute Co., Ltd., Xi’an, 710000, China

* Corresponding Author: Peng Zhang. Email: email

Fluid Dynamics & Materials Processing 2023, 19(6), 1397-1409. https://doi.org/10.32604/fdmp.2023.024916

Abstract

The performances of turbine blades have a significant impact on the energy conversion efficiency of vertical solar power plants. In the present study, such a relationship is assessed by considering two kinds of airfoil blades, designed by using the Wilson theory. In particular, numerical simulations are conducted using the SST K − ω model and assuming a wind speed of 3–6 m/s and seven or eight blades. The two airfoils are the NACA63121 (with a larger chord length) and the AMES63212; It is shown that the torsion angle of the former is smaller, and its wind drag ratio is larger; furthermore, the resistance is increased by about 66.3% on average. Within the scope of the study, the results show that the NACA63212 airfoil is better than the AMES63212 airfoil in terms of power, with an average improvement of about 2.8%. The simulation results have a certain guiding significance for selecting turbine blade airfoils and improving turbine efficiency.

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Simulation of Vertical Solar Power Plants with Different Turbine Blades

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Cite This Article

APA Style
Yang, Y., Zhang, P., Lv, M. (2023). Simulation of vertical solar power plants with different turbine blades. Fluid Dynamics & Materials Processing, 19(6), 1397-1409. https://doi.org/10.32604/fdmp.2023.024916
Vancouver Style
Yang Y, Zhang P, Lv M. Simulation of vertical solar power plants with different turbine blades. Fluid Dyn Mater Proc. 2023;19(6):1397-1409 https://doi.org/10.32604/fdmp.2023.024916
IEEE Style
Y. Yang, P. Zhang, and M. Lv, “Simulation of Vertical Solar Power Plants with Different Turbine Blades,” Fluid Dyn. Mater. Proc., vol. 19, no. 6, pp. 1397-1409, 2023. https://doi.org/10.32604/fdmp.2023.024916



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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