Active damage mitigation of the blade leading edge erosion for a wind turbine during rainfall events

Author:

Ripoll Á Ú,Jiang Z,Verma A,Zhou J

Abstract

Abstract Leading edge erosion (LEE) of wind turbine blades is a major concern for the wind turbine industry. LEE leads to increased blade surface roughness and incurs significant repair and maintenance costs. To address this issue, the present paper proposes an active LEE mitigation method by operating wind turbines in an erosion-safe mode with reduced rotor speed during precipitation. The proposed method involves first numerically modelling the NREL 5-MW reference wind turbine in openFAST. Then, during a regular operation in the presence of rainfall, the erosion-safe mode is designed, implemented and initiated with a modified blade pitch controller in Matlab-Simulink. To evaluate the effectiveness of this mode, the long-term rainfall distribution of the De Kooy site in the Netherlands is examined. The analysis considers a comparison of power output, erosion lifetime, and levelized cost of energy (LCOE) with and without the proposed safe modes. The study shows that the erosion-safe mode can significantly extend the erosion lifetime at the cost of reduced power generation. The controller settings affect the wind turbine performance, and a reduced rotor speed of 11 revolutions per minute is recommended considering the LCOE (308.64€/MWh). While the proposed mitigation method shows promise, it requires further refinement for real-life implementation in wind turbines.

Publisher

IOP Publishing

Subject

Industrial and Manufacturing Engineering

Reference20 articles.

1. Issues concerning roughness on wind turbine blades;Sagol;Renewable and Sustainable Energy Rev.,2013

2. The increasing importance of leading edge erosion and a review of existing protection solutions;Herring;Renewable and Sustainable Energy Rev.,2019

3. Forecasting wind energy costs and cost drivers: The views of the world’s leading experts;Wiser,2016

4. A probabilistic rainfall model to estimate the leading-edge lifetime of wind turbine blade coating system;Verma;Renewable Energy,2021

5. Will 10 mw wind turbines bring down the operation and maintenance cost of offshore wind farms?;Hofmann;Energy Procedia,2014

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