A Spectrum Correction Method Based on Optimizing Turbulence Intensity

Wenwu Yi,Zhihong Huang,Xinge Zhang,Ziqi Lu,Yan Chen,Junbo Hao

doi:10.3390/app12010066

Abstract

Based on the classical spectral representation method of simulating turbulent wind speed fluctuation, a harmonic superposition algorithm was introduced in detail to calculate the homogeneous turbulence wind field simulation in space. From the view of the validity of the numerical simulation results in MATLAB and the simulation efficiency, this paper discussed the reason for the bias existing between three types of turbulence intensity involved in the whole simulation process: simulated turbulence intensity, setting reference turbulence intensity, and theoretical turbulence intensity. Therefore, a novel spectral correction method of a standard deviation compensation coefficient was proposed. The simulation verification of the correction method was carried out based on the Kaimal spectrum recommended by IEC61400-1 by simulating the uniform turbulent wind field in one-dimensional space at the height of the hub of a 15 MW wind turbine and in two-dimensional space in the rotor swept area. The results showed that the spectral correction method proposed in this paper can effectively optimize the turbulence intensity of the simulated wind field, generate more effective simulation points, and significantly improve the simulation efficiency.

Highlights

The random turbulent wind is one of the critical factors causing the fatigue load of wind turbine blades
Aerodynamic analysis of wind turbines under the influence of turbulence is a vital basis for designing the ultimate load and fatigue load [1]
In a turbulent wind field, the wind speed can be decomposed into average wind speed and fluctuating wind speed

Summary

Introduction

The random turbulent wind is one of the critical factors causing the fatigue load of wind turbine blades. Aerodynamic analysis of wind turbines under the influence of turbulence is a vital basis for designing the ultimate load and fatigue load [1]. With the trend of large-scale and flexible blades, the coupling of nonlinear aerodynamic and structural problems with the environment becomes more complex. It is of great significance to establish a pulsating wind field model with high adaptability to multiple design conditions and complicated incoming flow environments in line with engineering applications. In engineering practice, considering the speed of the solution and data processing is important. While using the computational fluid dynamics (CFD) method to solve

Methods

Results

Conclusion