Abstract

Efficient spatial and temporal resolution of simulated inflow wind fields is important in order to represent wind turbine dynamics and derive load statistics for design. Using Fourier-based stochastic simulation of inflow turbulence, we first investigate loads for a utility-scale turbine in the neutral atmospheric boundary layer. Load statistics, spectra, and wavelet analysis representations for different space and time resolutions are compared. Next, large-eddy simulation (LES) is employed with space-time resolutions, justified on the basis of the earlier stochastic simulations, to again derive turbine loads. Extreme and fatigue loads from the two approaches used in inflow field generation are compared. On the basis of simulation studies carried out for three different wind speeds in the turbine’s operating range, it is shown that inflow turbulence described using 10-meter spatial resolution and 1 Hz temporal resolution is adequate for assessing turbine loads. Such studies on the investigation of adequate filtering or resolution of inflow wind fields help to establish efficient strategies for LES and other physical or stochastic simulation needed in turbine loads studies.

Highlights

  • No systematic studies have been conducted to date that have addressed the issue of efficiency of spatio-temporal resolution in generating inflow velocity fields for purposes of estimating accurate load statistics for today’s large utility-scale wind turbines

  • Such space-time resolution may be justified in flow field generation using either stochastic simulation or large-eddy simulation (LES)

  • Turbine loads under inflow turbulence generated by different simulation techniques (LES versus stochastic) were compared

Read more

Summary

Introduction

No systematic studies have been conducted to date that have addressed the issue of efficiency of spatio-temporal resolution in generating inflow velocity fields for purposes of estimating accurate load statistics for today’s large utility-scale wind turbines. The present study addresses this issue by making use of conventional stochastic simulation of stationary Gaussian fields using Fourier methods for neutral atmospheric stability conditions These simulated wind fields have characteristics that are similar to what is required per turbine design guidelines [1]. From the study of turbine load statistics based on stochastic simulation of inflow, we establish the degree of resolution in space and time that is necessary for reasonably accurate extreme and fatigue load predictions in design. This same level of spatial and temporal resolution is employed in studies involving the use of large-eddy simulation (LES) for load computations. Load statistics from stochastic simulation and LES are compared

Stochastic Simulation
Filtering of Inflow Turbulence
Power Spectral Density Functions for Turbine Loads
Turbine Load Statistics
Wavelet Analyses of Turbine Loads
Summary on Spatio-Temporal Filtering of Inflow in Stochastic Simulation
Inflow Generation using Large-Eddy Simulation
Background on Large-Eddy Simulation
Large-Eddy Simulation Code
LES and Stochastic Simulation of Inflow Turbulence
Fractal Interpolation of LES-Generated Time Series
Extreme and Fatigue Loads based on LES and Stochastic Simulations
Power Spectral Density Functions of Turbine Loads
Fatigue Load Estimation
Load Probability Distributions
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.