LAPSE:2023.31103v1
Published Article
LAPSE:2023.31103v1
Comparison of Blade Aeroelastic Responses between Upwind and Downwind of 10 MW Wind Turbines under the Shear Wind Condition
Haojie Kang, Bofeng Xu, Xiang Shen, Zhen Li, Xin Cai, Zhiqiang Hu
April 18, 2023
Abstract
This paper examines the potential for reducing the cost of energy for super-scale wind turbines through the use of a downwind configuration. Using nonlinear aeroelastic modeling, the responses of 10 MW upwind and downwind wind turbine blades are simulated and compared under shear wind conditions. The study evaluates the impact of both nonlinear and linear aeroelastic models on the dynamic response of different blade sizes, highlighting the need for a nonlinear approach. Results indicate that the linear model overestimates blade deformations (18.14%) and the nonlinear model is more accurate for predicting the aeroelastic response of ultra-long blades of 86.35 m. The study also finds that the downwind turbine blade experiences smaller flapwise moment (17.53%), and blade tip flapwise deformation (33.97%) than the upwind turbine blade, with increased load and deformation fluctuation as wind shear increases.
Keywords
aeroelastic response, shear wind, upwind and downwind, wind turbine blade
Suggested Citation
Kang H, Xu B, Shen X, Li Z, Cai X, Hu Z. Comparison of Blade Aeroelastic Responses between Upwind and Downwind of 10 MW Wind Turbines under the Shear Wind Condition. (2023). LAPSE:2023.31103v1
Author Affiliations
Kang H: Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 210098, China
Xu B: Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 210098, China; Jiangsu Province Engineering Research Center of Wind Turbine Structures, Hohai University, Nanjing 210098, China
Shen X: Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK [ORCID]
Li Z: Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 210098, China
Cai X: Jiangsu Province Engineering Research Center of Wind Turbine Structures, Hohai University, Nanjing 210098, China
Hu Z: School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Journal Name
Energies
Volume
16
Issue
6
First Page
2567
Year
2023
Publication Date
2023-03-08
ISSN
1996-1073
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Original Submission
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PII: en16062567, Publication Type: Journal Article
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LAPSE:2023.31103v1
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https://doi.org/10.3390/en16062567
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