Abstract
The main contributing factors to unsteady loading of Offshore Wind Turbines (OWT) are wind shear, turbulence, and waves. In the present paper, the turbulence intensity and the wind shear exponent are investigated. Using data from the FINO 1 research platform, these parameters are analyzed and compared with the proposed wind field parameters in the IEC standard 61400-3. Based on this analysis, aeroelastic simulations are performed to determine the effect of wind field parameters on the fatigue and the extreme loads on the rotor blades. For the investigations, the aeroelastic model of a 5 MW OWT is used with a focus on design load cases in an operating state (power production). The fatigue loads are examined by means of the damage-equivalent load-range approach. In order to determine the extreme loads with a recurrence period of 50 years, a peak over threshold extrapolation method and a novel method based on average conditional exceedance rates are used. The results show that the requirements of the IEC standard are very conservative for the design of the rotor blades. Therefore, there could be a large optimization potential for the reduction of weight and cost of the rotor blades.
Highlights
Aeroelastic simulations are performed to design Offshore Wind Turbines (OWT)
The objective of the present paper is to show the effect on the fatigue and extreme loads of an OWT
The wind speed measurements of the FINO 1 offshore research platform are analyzed based on the min mean wind data of the cup anemometers
Summary
Aeroelastic simulations are performed to design Offshore Wind Turbines (OWT). In order to consider these and to reach acceptable reliability and safety levels, there are standards and guidelines for the design of OWTs, e.g., IEC standard 61400-3 “Design Requirements of Offshore Wind Turbines” [1]. There are some more standards and guidelines that tend to give general procedures for safe design, but none of them are very specific [2]. Probabilistic methods are required for developing a cost optimized OWT with high reliability and low probabilities of failure. With these methods, it is possible to adjust the safety requirements of the design to specific sites and to calculate individual failure probabilities for OWTs [3]
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