Joint optimization of preventive and condition-based maintenance for offshore wind farms

High costs of maintenance and lost production during downtime are a challenge to the offshore wind industry, there is great potential improve cost efficiency by improved control strategies utilizing condition monitoring information. As farms get older, also an increased need find ways extending lifetime turbines allowing continued operation. This may be obtained de-rating strategies, meaning adjustments power reduce fatigue loads on turbines. subsequently means farm operators faced with trade-off between maximizing while limiting degradation To investigate best trade-off, this paper presents optimization framework that considers component planned times perform predetermined preventive condition-based farm. solve scheduling problem, it formulated as constrained integer linear program, net income for planning horizon. The proposed method logistic restrictions, electricity price forecasts, probability failure. Moreover, uses short time horizon (days) utilise weather forecasts long (weeks) better capture impact deteriorating condition. model presented in general accounting operation maintenance. It illustrated specific application, considering main bearings corrosion structural elements examples.