Abstract

AbstractRain‐induced leading‐edge erosion (LEE) of wind turbine blades (WTBs) is associated with high repair and maintenance costs. The effects of LEE can be triggered in less than 1 to 2 years for some wind turbine sites, whereas it may take several years for others. In addition, the growth of erosion may also differ for different blades and turbines operating at the same site. Hence, LEE is a site‐ and turbine‐specific problem. In this paper, we propose a probabilistic long‐term framework for assessing site‐specific lifetime of a WTB coating system. Case studies are presented for 1.5 and 10 MW wind turbines, where geographic bubble charts for the leading‐edge lifetime and number of repairs expected over the blade's service life are established for 31 sites in the Netherlands. The proposed framework efficiently captures the effects of spatial and orographic features of the sites and wind turbine specifications on LEE calculations. For instance, the erosion is highest at the coastal sites and for sites located at higher altitudes. In addition, erosion is faster for turbines associated with higher tip speeds, and the effects are critical for such sites where the exceedance probability for rated wind conditions are high. The study will aid in the development of efficient operation and maintenance strategies for wind farms.

Highlights

  • In order to account for the rising carbon levels in the atmosphere, there is a substantial increase in the demand of renewable sources of energy

  • One of the main goals of this paper is to propose this framework as an efficient way to perform analysis during the pre-design phase to select a suitable coating system for a given wind turbine site and perform leading-edge erosion (LEE) calculations

  • The current paper proposed a probabilistic long-term framework for assessing site-specific lifetime of a Wind turbine blades (WTBs) coating system

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Summary

Introduction

In order to account for the rising carbon levels in the atmosphere, there is a substantial increase in the demand of renewable sources of energy. Wind energy owing to its abundant resource availability and decades-long technical maturity, is one of the fastest growing renewable sectors.[1] Europe has been the front runner in the wind energy sector, and a recent report suggests that wind energy could become the largest power source by 2050.2 In order to achieve this, a significant increase is expected in the number of turbines being deployed, both in onshore and offshore sectors, along with improved technological advances. Wind turbine blades (WTBs) of lengths 70–75 m can be associated with high tip speed, in the range of 75–90 m/s.6,7 Due to recurring

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