@misc{10481/92534,
year = {2024},
month = {1},
url = {https://hdl.handle.net/10481/92534},
abstract = {Leading edge erosion has become one of the most prevailing failure modes of wind turbines. Its effects can
evolve from an aerodynamic modification of the properties of the blade to a potential structural failure of the
leading edge. The first produces a reduction of energy production and the second can produce a catastrophic
failure of the blade. Considering the uncertainties and constraints involved in the design of optimal operation
and maintenance (O&M) strategies for offshore assets and the influence of site-specific parameters on the
dynamics of this particular failure mode, the task becomes complex. In this study, a framework to evaluate
the influence of different maintenance strategies considering uncertainties in weather, material behaviour and
repair success is presented. Monte Carlo Simulation (MCS) is used alongside a computational framework for
Leading Edge Erosion (LEE) degradation to evaluate the lifetime cost distribution and probability of failure
of the chosen maintenance strategies. The use of the framework is demonstrated in a case study considering
a 5-MW offshore wind turbine located in the north of Germany. The influence of the modification of the
maintenance interval or time between repairs and the comparison with maintenance activities executed only
during months with milder weather is analysed in terms of cost and reliability. A Pareto front plot considering
the probability of failure and the median of the cost is used to jointly compare strategies considering both
aspects to provide a tool for risk-informed maintenance selection. Finally, the potential benefits of conditionbased
maintenance and autonomous decision-making systems are discussed. The case of study shows the
benefits of repairs during summer months and the importance of the relation risk/O&M cost for different
maintenance strategies.},
organization = {ENHAnCE project that has received funding
from the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie grant agreement
No 859957},
publisher = {Elsevier},
keywords = {Leading edge erosion},
keywords = {Wind turbine blade O&M},
keywords = {Blade erosion degradation},
title = {Reliability-based leading edge erosion maintenance strategy selection framework},
doi = {10.1016/j.apenergy.2023.122612},
author = {Contreras López, Javier and Kolios, Athanasios and Wang, Lin and Chiachío Ruano, Manuel and Dimitrov, Nikolay},
}