Abstract

When operating in cold climates, wind turbines are vulnerable to ice accretion. The main impact of icing on wind turbines is the power losses due to geometric deformation of the iced airfoils of the blades. Significant energy losses during the wind farm lifetime must be estimated and mitigated. Finding solutions for icing calls on several areas of knowledge. Modelling and simulation as an alternative to experimental tests are primary techniques used to account for ice accretion because of their low cost and effectiveness. Several studies have been conducted to replicate ice growth on wind turbine blades using Computational Fluid Dynamics (CFD) during the last decade. While inflight icing research is well developed and well documented, wind turbine icing is still in development and has its peculiarities. This paper surveys and discusses the models, approaches and methods used in ice accretion modelling in view of their application in wind energy while summarizing the recent research findings in Surface Roughness modelling and Droplets Trajectory modelling. An An additional section discusses research on the modelling of electro-thermal icing protection systems. This paper aims to guide researchers in wind engineering to the appropriate approaches, references and tools needed to conduct reliable icing modelling for wind turbines.

Highlights

  • When operating in cold climates, wind turbines are vulnerable to ice accretion

  • Wind energy production has been booming to become a significant part of the energy market and research worldwide [2]

  • In Canada, electricity generation from renewable sources increased by 16% between 2010 and 2018, and wind energy has the most considerable growth [1]

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Summary

Introduction

When operating in cold climates, wind turbines are vulnerable to ice accretion. The main impact of icing on wind turbines is the power losses due to geometric deformation of the iced airfoils of the blades. This paper surveys and discusses the models, approaches and methods used in ice accretion modelling in view of their application in wind energy while summarizing the recent research findings in Surface Roughness modelling and Droplets Trajectory modelling. Due to the rising concern over climate change, actual global trends move increasingly toward reducing greenhouse gas emissions Among these actions is the investment in the exploitation of clean energy resources. Et al [4] discussed the trends and the available technologies developed for wind energy in conjunction with their applications and devices of operation [4]. This technology is highly dependent on its geographic location

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