Improvement of risk estimate on wind turbine tower buckled by hurricane

TL;DR

This paper presents an improved method for estimating the number of wind turbine towers likely to buckle during hurricanes, using accurate probability density functions and Monte Carlo simulations, aiding wind farm design and maintenance.

Contribution

The paper introduces a novel approach that accurately models the buckling probability of individual turbines, surpassing previous approximation-based methods.

Findings

Monte Carlo simulations demonstrate superior accuracy of the new method

The approach provides detailed probability density functions for buckling risk

Results are useful for wind farm design and maintenance planning

Abstract

Wind is one of the important reasonable resources. However, wind turbine towers are sure to be threatened by hurricanes. In this paper, method to estimate the number of wind turbine towers that would be buckled by hurricanes is discussed. Monte Carlo simulations show that our method is much better than the previous one. Since in our method, the probability density function of the buckling probability of a single turbine tower in a single hurricane is obtained accurately but not from one approximated expression. The result in this paper may be useful to the design and maintenance of wind farms.