Impact of uncertainty in airfoil characteristics on wind turbine extreme loads

Abdallah, Imad; Natarajan, Anand; Sørensen, John Dalsgaard

doi:10.1016/j.renene.2014.10.009

Cited by 41 publications

(46 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, its influence on the airfoil angle of attack is the most significant, whereas minor effects are noticed on the Mach and Reynolds numbers. The level of uncertainty considered for each variable is consistent with those typically employed in the literature of uncertainty-based analysis in fluid dynamics (e.g., [42][43][44]). Their combined effect results in a large variation of the angle of attack once it is propagated through the BEMT equations.…”

Section: A Uncertain Operating Conditionsmentioning

confidence: 96%

Multifidelity Physics-Based Method for Robust Optimization Applied to a Hovering Rotor Airfoil

et al. 2015

View full text Add to dashboard Cite

The paper presents a multifidelity robust optimization technique with application to the design of rotor blade airfoils in hover. A genetic algorithm is coupled with a non-intrusive uncertainty propagation technique based on polynomial chaos expansion to determine the robust optimal airfoils that maximize the mean value of the lift-to-drag ratio while minimizing the variance, under uncertain operating conditions. Uncertainties on the blade pitch angle and induced velocity are considered. To deal with the variable operating conditions induced by the considered uncertainties and to alleviate the computational cost of the optimization procedure, a multifidelity strategy is developed that exploits two aerodynamic models of different fidelity. The two models correspond to different physical descriptions of the flowfield around the airfoil; thus, the multifidelity method employs the low-fidelity model in regions of the stochastic space where the physics of the problem is well captured by the model, and it switches to high-fidelity estimates only where needed. The proposed robust optimization technique is compared with the robust optimization based on the high-fidelity aerodynamic model and the deterministic optimization, to assess the capability of finding a consistent Pareto set and to evaluate the numerical efficiency. The results obtained show how the robust multifidelity approach is effective in reducing the sensitivity of the designed airfoils with respect to variation in the operating conditions

show abstract

Section: A Uncertain Operating Conditionsmentioning

confidence: 96%

Multifidelity Physics-Based Method for Robust Optimization Applied to a Hovering Rotor Airfoil

et al. 2015

View full text Add to dashboard Cite

show abstract

“…However, tower loads are difficult to calculate. Load calculation involves multisource uncertainties that include variations in wind tunnels measurements, geometric distortions of the blade under loading, 3D rotational correction, and so on [37]. erefore, tower loads under the extreme wind speed cannot quantify by the probability model.…”

Section: A Tall Wind Turbine Towermentioning

confidence: 99%

Probabilistic Analysis for Structures with Hybrid Uncertain Parameters

Xiao

Zhao

Wen

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In practical engineering problems, the distribution parameters of random variables cannot be determined precisely due to limited experimental data. e hybrid uncertain model of interval and probability can deal with the problem, but it will produce extensive computation and it is difficult to meet the requirement of the complex engineering problem analysis. In this scenario, this paper presents a vertex method for the uncertainty analysis of the hybrid model. By combining the traditional finite element method, it can be applied to the structural uncertainty analysis. e key of this method is to demonstrate the monotonicity between expectation and variance of the function and distribution parameters of random variables. Based on the monotonicity analysis, interval bounds of the expectation and variance are directly calculated by means of vertex of distribution parameter intervals. Two numerical examples are used to evaluate the effectiveness and accuracy of the proposed method. e results show the vertex method is computationally more efficient than the common interval Monte Carlo method under the same accuracy. Two practical engineering examples are to show that the vertex method makes the engineering application of the hybrid uncertain model easy.

show abstract

“…The rotor blade reliability under extreme loads is closely related to uncertainty sources, e.g., uncertainty in airfoil aerodynamic characteristics and uncertainty in the extreme turbulence model used for load calculation. For example, Abdallah et al [84] found that the uncertainties in aerodynamic static lift and drag coefficients had a tangible reduction in both the extreme load safety factors and the dimension of structural components when exposed to extreme loading conditions. In another article, Abdallah et al [61] demonstrated that advanced load alleviation control systems could contribute to improved structural reliability by reducing the magnitude and scatter of the extreme loads.…”

Section: Rotor Bladesmentioning

confidence: 99%

Structural Reliability Analysis of Wind Turbines: A Review

Jiang

Dong

et al. 2017

Energies

View full text Add to dashboard Cite

Abstract:The paper presents a detailed review of the state-of-the-art research activities on structural reliability analysis of wind turbines between the 1990s and 2017. We describe the reliability methods including the first-and second-order reliability methods and the simulation reliability methods and show the procedure for and application areas of structural reliability analysis of wind turbines. Further, we critically review the various structural reliability studies on rotor blades, bottom-fixed support structures, floating systems and mechanical and electrical components. Finally, future applications of structural reliability methods to wind turbine designs are discussed.

show abstract

Impact of uncertainty in airfoil characteristics on wind turbine extreme loads

Cited by 41 publications

References 4 publications

Multifidelity Physics-Based Method for Robust Optimization Applied to a Hovering Rotor Airfoil

Multifidelity Physics-Based Method for Robust Optimization Applied to a Hovering Rotor Airfoil

Probabilistic Analysis for Structures with Hybrid Uncertain Parameters

Structural Reliability Analysis of Wind Turbines: A Review

Contact Info

Product

Resources

About