An Optimal Number-Dependent Preventive Maintenance Strategy for Offshore Wind Turbine Blades Considering Logistics
Artikel i vetenskaplig tidskrift, 2013

In offshore wind turbines, the blades are among the most critical and expensive components that suffer from different types of damage due to the harsh maritime environment and high load. The blade damages can be categorized into two types: the minor damage, which only causes a loss in wind capture without resulting in any turbine stoppage, and the major (catastrophic) damage, which stops the wind turbine and can only be corrected by replacement. In this paper, we propose an optimal number-dependent preventive maintenance (NDPM) strategy, in which a maintenance team is transported with an ordinary or expedited lead time to the offshore platform at the occurrence of the N th minor damage or the first major damage, whichever comes first. The long-run expected cost of the maintenance strategy is derived, and the necessary conditions for an optimal solution are obtained. Finally, the proposed model is tested on real data collected from an offshore wind farm database. Also, a sensitivity analysis is conducted in order to evaluate the effect of changes in the model parameters on the optimal solution.

Maintenance optimization

Preventive maintenance

Wind turbine blade

Offshore wind turbine

Logistics

Författare

Mahmood Shafiee

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematik

Michael Patriksson

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematik

Ann-Brith Strömberg

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematik

Advances in Operations Research

1687-9147 (ISSN) 1687-9155 (eISSN)

Vol. Volume 2013 (2013) Article ID 205847- 205847

Styrkeområden

Transport

Energi

Ämneskategorier

Beräkningsmatematik

Tillförlitlighets- och kvalitetsteknik

Energisystem

DOI

10.1155/2013/205847