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Fatigue damage assessment of wind turbine based on dynamic wake meandering model
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Yanfei MU1, Qiang WANG1, 2, Kun LUO1, 2, Jianren FAN1, 2, Xu QIU3, Xin LIU3, Shu YAN
Thermal Power Generation | 2023, 52(3) : 39 - 48
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Thermal Power Generation | 2023, 52(3): 39-48
• Fault diagnosis and condition monitoring technologies of wind power system •
Fatigue damage assessment of wind turbine based on dynamic wake meandering model
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Yanfei MU1, Qiang WANG1, 2, Kun LUO1, 2, Jianren FAN1, 2, Xu QIU3, Xin LIU3, Shu YAN
Affiliations
  • 1.State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
  • 2.Zhejiang Key Laboratory of Clean Energy and Carbon Neutrality, Hangzhou 310027, China
  • 3.Huaneng Clean Energy Research Institute Co., Ltd., Beijing 102209, China
Published: 2023-03-25 doi: 10.19666/j.rlfd.202210232
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The wake effect of wind farm is the main factor affecting the performance of wind turbines in the downstream wind farm. The wake effect, load characteristics and fatigue damage of wind turbines in front, middle and rear of an offshore wind farm were quantitatively assessed by FAST.Farm, which is the latest opensource multi-physical field coupling simulation software tool of National Renewable Energy Laboratory (NREL). The results show that, the wind speed decreases and the turbulence intensity increases in turn in the wind farm along the flow direction. The fatigue damage of front-row, middle-row and back-row wind turbines increases with the inflow wind speed. Especially, under the condition of high inflow wind speed, the fatigue damage of the middle-row wind turbines at the blade root and the tower base increases exponentially, and the increase range is obviously higher than that of the front and back row wind turbine. It suggests that the structural strength of wind turbines in the central area should be improved to some extent in wind power pre-development and post-operation and maintenance work.

FAST.Farm  /  dynamic wake meandering model  /  wind turbine  /  rain flow counting method  /  fatigue damage
Yanfei MU, Qiang WANG, Kun LUO, Jianren FAN, Xu QIU, Xin LIU, Shu YAN. Fatigue damage assessment of wind turbine based on dynamic wake meandering model[J]. Thermal Power Generation, 2023 , 52 (3) : 39 -48 . DOI: 10.19666/j.rlfd.202210232
Funding
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  • Youth Science Foundation Project of National Natural Science Foundation of China(52206218)
  • Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ19-H16)
Appendix
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Year 2023 volume 52 Issue 3
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51
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Article Info
doi: 10.19666/j.rlfd.202210232
  • Receive Date：2022-10-05
  • Online Date：2026-01-23
  • Published：2023-03-25
Article Data
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  • Received：2022-10-05
Funding
Youth Science Foundation Project of National Natural Science Foundation of China(52206218)
Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ19-H16)
Affiliations
    1.State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
    2.Zhejiang Key Laboratory of Clean Energy and Carbon Neutrality, Hangzhou 310027, China
    3.Huaneng Clean Energy Research Institute Co., Ltd., Beijing 102209, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202210232
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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