A Model for the Optimization of the Maintenance Support Organization for Offshore Wind Farms

Maintenance of offshore wind power plants is known to be extensive and costly. This paper presents a model for optimizing the maintenance support organization of an offshore wind farm: the location of maintenance accommodation, the number of technicians, the choice of transfer vessels, and the use of a helicopter. The model includes an analysis of a transportation strategy using alternative transportation means, a queuing model of maintenance activities, and an economic model of the maintenance support organization. An example based on a generic 100 wind turbine 5-MW wind farm is used to demonstrate the application of the model. The results show the benefit of the production losses of the different options, which enables the identification of an optimal maintenance support organization based on the reliability, logistic costs, and electricity price. The most cost-efficient maintenance support organization in the case study consists of an offshore accommodation with technicians on service 24 hours a day, 7 days a week. The solution suggests transportation by use of a crew transfer vessel equipped with a motion compensated access system.

[1]  Peter Tavner,et al.  Reliability of wind turbine subassemblies , 2009 .

[2]  L. Bertling,et al.  Maintenance Management of Wind Power Systems Using Condition Monitoring Systems—Life Cycle Cost Analysis for Two Case Studies , 2007, IEEE Transactions on Energy Conversion.

[3]  R J Whiting,et al.  Availability Trends Observed at Operational Wind Farms , 2007 .

[4]  C. Harris,et al.  Fundamentals of Queueing Theory, Fourth Edition , 2008 .

[5]  Carl M. Harris,et al.  Fundamentals of Queueing Theory: Gross/Fundamentals of Queueing Theory , 2008 .

[6]  L.W.M.M. Rademakers,et al.  TOOLS FOR ESTIMATING OPERATION AND MAINTENANCE COSTS OF OFFSHORE WIND FARMS: State of the Art , 2008 .

[7]  Lina Bertling,et al.  An Approach for Condition-Based Maintenance Optimization Applied to Wind Turbine Blades , 2010, IEEE Transactions on Sustainable Energy.

[8]  Yanhui Feng,et al.  Early experiences with UK round 1 offshore wind farms , 2010 .

[9]  David J. Sherwin,et al.  System Reliability Theory—Models and Statistical Methods , 1995 .

[10]  Julia Nilsson.  Maintenance management of wind power systems Cost effect analysis of condition monitoring systems , 2006 .

[11]  L.W.M.M. Rademakers,et al.  Operation and maintenance cost estimator (OMCE) to estimate the future Oampersand M costs of offshore wind farms , 2009 .

[12]  H. Braam,et al.  Operation and maintenance cost estimator (OMCE) to estimate the future O&M costs of offshore wind farms , 2009 .

[13]  Tetsuo Tomiyama,et al.  Reliability of wind turbine technology through time , 2008 .

[14]  Michael Patriksson,et al.  A stochastic model for opportunistic maintenance planning of offshore wind farms , 2011, 2011 IEEE Trondheim PowerTech.