Extreme structural response prediction and fatigue damage evaluation for large-scale monopile offshore wind turbines subject to typhoon conditions
Publication type: Journal Article
Publication date: 2023-05-01
scimago Q1
wos Q1
SJR: 2.080
CiteScore: 17.6
Impact factor: 9.1
ISSN: 09601481
Renewable Energy, Sustainability and the Environment
Abstract
Offshore wind is becoming the way forward for green energy harnessing worldwide. However, frequent typhoons are a major constraint for the development of offshore wind power for some regions in Asia and North America. Typhoons may pose a huge challenge to offshore wind farm development in southern China. In this paper, a fully-coupled analysis was carried out for a 10 MW large-scale monopile offshore wind turbine (OWT) using SIMO-Riflex-Aerodyn (SRA) code. The response characteristics of the OWTs in different typhoon regions are investigated based on the measured typhoon conditions in China. The effect of aerodynamic damping on the response and the load effect is analyzed in detail. Two different distribution methods are used to statistically extrapolate the response value and get the short-term extreme response. Cumulative linear fatigue damage is evaluated by the rain-flow counting method to explore the possible failure modes of large wind turbines during typhoons. The results show that aerodynamic loads play an important role in large monopile OWTs during high wind speeds in parked conditions. The extreme response and fatigue analyses from this study indicate that fatigue is a dominant failure mode for the large OWT tower during typhoons, while buckling is unlikely.
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Metrics
57
Total citations:
57
Citations from 2024:
50
(87.72%)
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BibTex
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GOST
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Qin M. et al. Extreme structural response prediction and fatigue damage evaluation for large-scale monopile offshore wind turbines subject to typhoon conditions // Renewable Energy. 2023. Vol. 208. pp. 450-464.
GOST all authors (up to 50)
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Qin M., Shi W., Chai W., Fu X., Li L., Li X. Extreme structural response prediction and fatigue damage evaluation for large-scale monopile offshore wind turbines subject to typhoon conditions // Renewable Energy. 2023. Vol. 208. pp. 450-464.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.renene.2023.03.066
UR - https://doi.org/10.1016/j.renene.2023.03.066
TI - Extreme structural response prediction and fatigue damage evaluation for large-scale monopile offshore wind turbines subject to typhoon conditions
T2 - Renewable Energy
AU - Qin, Mengfei
AU - Shi, Wei
AU - Chai, Wei
AU - Fu, Xing
AU - Li, Lin
AU - Li, Xin
PY - 2023
DA - 2023/05/01
PB - Elsevier
SP - 450-464
VL - 208
SN - 0960-1481
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2023_Qin,
author = {Mengfei Qin and Wei Shi and Wei Chai and Xing Fu and Lin Li and Xin Li},
title = {Extreme structural response prediction and fatigue damage evaluation for large-scale monopile offshore wind turbines subject to typhoon conditions},
journal = {Renewable Energy},
year = {2023},
volume = {208},
publisher = {Elsevier},
month = {may},
url = {https://doi.org/10.1016/j.renene.2023.03.066},
pages = {450--464},
doi = {10.1016/j.renene.2023.03.066}
}