Do cyclone impacts really matter for the long-term performance of an offshore wind turbine?

Chen, Yisu; Wu, Di; Yu, Yuguo; Gao, Wei

doi:10.1016/j.renene.2021.06.044

Cited by 9 publications

(2 citation statements)

References 61 publications

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“…In this study, the four extreme hazard factors of maximum wind speed (V max ), maximum duration of wind direction change (T max ), maximum cumulative wind direction change (Δθ max ), and maximum rate of change in wind direction (ΔD max ) were analyzed and used as tropical cyclone hazard factors for wind farms. A comparative judgment matrix of the four first-order indicators was derived through expert scoring (Saaty, 1990), as shown in Table 4, where the maximum wind speed of a tropical cyclone plays a decisive role in wind farm safety and is therefore considered the most important hazard factor (Chen et al, 2021). The second most important factor is the maximum rate of change in Frontiers in Earth Science frontiersin.org 13 wind direction, where extreme wind direction changes can lead an untimely response by the yaw system of the wind turbines, thereby posing a substantial threat to the blades of the wind turbines (Ebrahimi and Sekandari, 2018).…”

Section: Calculation Of Indicator Weightsmentioning

confidence: 99%

Tropical cyclone wind hazard assessment for Donghaitang wind farm (Zhejiang Province, China): Case study

Tang²,

Li³

et al. 2023

Front. Earth Sci.

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Currently, offshore and coastal wind power resources are growing rapidly around the world, especially in China. However, systematic research on the hazard assessment of wind farms under tropical cyclone conditions remains lacking. This study simulated the wind field of tropical cyclones based on a parameterized tropical cyclone wind field model, and analyzed the characteristics of historical tropical cyclones in Donghaitang wind farm (Zhejiang, China). Four extreme tropical cyclone hazard factors including the maximum wind speed (Vmax), maximum duration of wind direction change (Tmax), maximum cumulative wind direction change (Δθmax) and maximum rate of change in wind direction (ΔDmax) were proposed and examined. Then a comprehensive hazard assessment model for wind farms based on the analytic hierarchy process was established, and the risk to the Donghaitang wind farm represented by tropical cyclones during 1949–2021 was evaluated. Results showed that the number and intensity of tropical cyclones made landfall near the coast of Donghaitang wind farm gradually increased with time, which results in a gradual increase in the composite tropical cyclone risk level of the Donghaitang wind farm with time. The numbers and risk levels of tropical cyclones traveling northwestward were much larger than those traveling northward or northeastward. Moreover, the average composite risk index for tropical cyclones passing to the left of the wind farm was 14.3% higher than that for tropical cyclones passing to the right. The large values of Vmax and ΔDmax are main reasons for the high risk of the wind farm, while the other two hazard factors (Tmax, Δθmax) proposed to account for the wind turbine backup power are also of great importance in the design, selection and operation stages of offshore wind turbines. The findings of this study could provide support for hazard assessment of offshore and coastal wind farms exposed to tropical cyclones, including macro site selection of wind farms and type selection of wind turbines.

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Section: Calculation Of Indicator Weightsmentioning

confidence: 99%

Tropical cyclone wind hazard assessment for Donghaitang wind farm (Zhejiang Province, China): Case study

Tang²,

Li³

et al. 2023

Front. Earth Sci.

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“…This revision addresses the safety risks previously unaccounted for in the original version of the standard [8]. The low stiffness of flexible blades in wind turbines, especially those of larger scale, accentuates the bending-torsion coupling effect, making the discrepancy between the critical flutter speed and the turbine's rated speed closer [9][10][11][12]. Accurate prediction of the critical flutter speed and thorough analysis of flutter characteristics are thus essential for ensuring turbine resilience.…”

Section: Introductionmentioning

confidence: 99%

Research on Flutter Characterization of Flexible Blade Response under Typhoon Operating Conditions

Liu,

Han,

Tian

et al. 2024

Energies

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Wind turbine blades, being flexible, are susceptible to damage during typhoons. Studying the aeroelastic response of these blades in typhoon conditions is crucial for providing a theoretical foundation for their optimization and design. This research focuses on the NREL 5 MW flexible blade, employing the B-L stall model for dynamic inflow and geometrically exact beam theory to develop an aeroelastic model capable of predicting the blade’s flutter limit. Through quantitative analysis, we assess the stability of the wind turbine’s flexible blade under typhoon conditions and examine the blade tip’s transient response. The findings indicate that the model’s flutter speed is 21.5 rpm, marked by a significant increase in tip deflection’s mean square error of over 80% and a coupling of flapwise and torsional modes at 4.81 Hz. The blade tip’s transient response under typhoon conditions does not satisfy the flutter criterion, thus preventing instability. Under typhoon conditions, the deflection in the flapwise, edgewise, and twist directions of the blade shows an increase of 12.1%, 10.5%, and 119.2%, respectively, compared to standard operating conditions.

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Quantifying the fatigue life of wind turbines in cyclone-prone regions

Chen

Wu²,

Li³

et al. 2022

Applied Mathematical Modelling

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Do cyclone impacts really matter for the long-term performance of an offshore wind turbine?

Cited by 9 publications

References 61 publications

Tropical cyclone wind hazard assessment for Donghaitang wind farm (Zhejiang Province, China): Case study

Tropical cyclone wind hazard assessment for Donghaitang wind farm (Zhejiang Province, China): Case study

Research on Flutter Characterization of Flexible Blade Response under Typhoon Operating Conditions

Quantifying the fatigue life of wind turbines in cyclone-prone regions

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