Economic Viability Study for Offshore Wind Turbines Maintenance Management

  • E. Segura Asensio
  • J. M. Pinar Pérez
  • F. P. García MárquezEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 362)


Nowadays, there is a growing interest in the development of offshore wind farms due to the increasing size and capacity of wind turbines, improvement of wind resources, social acceptance, noise reduction, depletion of onshore locations with great wind resources, etc. However, the operation and maintenance (O&M) costs are too high to make offshore wind turbines economically viable. The use of condition monitoring systems (CMS) appears as a solution to minimize O&M costs and increase the reliability of offshore wind farms. The quantification of the economic benefits of CMS is a non-trivial problem. In this work is presented a novel maintenance management research based of an economic study of the Life Cycle Cost (LCC) of CMS for offshore wind turbines. The model includes the costs of investment and O&M of the CMS and costs for reduction of O&M and energy losses of the wind turbine generates by the implementation of CMS. These costs are related with a reliability analysis of a real case study. The application of the economic model on a real case study assuming different scenarios enables the analysis of the economic benefits to use CMS in offshore wind turbines.


Life cycle costs Condition monitoring systems Wind energy  Offshore wind turbines 



This project is a partly funded project by the EC under the FP7 framework program (Ref: 322430), OPTIMUS and the MINECO project Wind Sea Energy (Ref: DPI2012-31579).


  1. 1.
    Besnard F (2013) On maintenance optimization for offshore wind farms. Chalmers University of Technology, GothenburgGoogle Scholar
  2. 2.
    CNE (2013) Wind energy rates 2013. National Energy CommissionGoogle Scholar
  3. 3.
    European Commission (2015) Cooperation mechanisms. European commission
  4. 4.
    Fried L (2013) Global wind statistics 2012. Technical report, Global wind energy council (GWEC), Brussels, BelgiumGoogle Scholar
  5. 5.
    Hameed Z, Hong Y et al (2009) Condition monitoring and fault detection of wind turbines and related algorithms: a review. Renew Sustain Energy Rev 13:1–39CrossRefGoogle Scholar
  6. 6.
    Knezevic J (1993) Reliability, maintainability, and supportability: a probabilistic approach. McGraw-Hill Companies, LondonGoogle Scholar
  7. 7.
    Marquez FPG, Lewis RW et al (2008) Life cycle costs for railway condition monitoring. Transp Res Part E: Logist Transp Rev 44:1175–1187CrossRefGoogle Scholar
  8. 8.
    Márquez FPG, Tobias AM et al (2012) Condition monitoring of wind turbines: techniques and methods. Renew Energy 46:169–178CrossRefGoogle Scholar
  9. 9.
    McMillan D, Ault GW (2007) Quantification of condition monitoring benefit for offshore wind turbines. Wind Eng 31:267–285CrossRefGoogle Scholar
  10. 10.
    Nilsson J, Bertling L (2007) Maintenance management of wind power systems using condition monitoring systems—life cycle cost analysis for two case studies. IEEE Trans Energy Convers 22:223–229CrossRefGoogle Scholar
  11. 11.
    Shell NoordzeeWind, Egmond aan Zee Operations Reports 2007, 2008 and 2009.
  12. 12.
    Schroeder K, Ecke W et al (2006) A fibre bragg grating sensor system monitors operational load in a wind turbine rotor blade. Meas Sci Technol 17:1167CrossRefGoogle Scholar
  13. 13.
    Van Horenbeek A, Van Ostaeyen J et al (2013) Quantifying the added value of an imperfectly performing condition monitoring system—application to a wind turbine gearbox. Reliab Eng Syst Saf 111:45–57CrossRefGoogle Scholar
  14. 14.
    Verbruggen T (2003) Wind turbine operation & maintenance based on condition monitoring WT-\(\varOmega \). Technical report, Energy Research Center of the Netherlands Final Report, ECN-C-03-047Google Scholar
  15. 15.
    Wakui T, Yokoyama R (2013) Wind speed sensorless performance monitoring based on operating behavior for stand-alone vertical axis wind turbine. Renew Energy 53:49–59CrossRefGoogle Scholar
  16. 16.
    Walford CA (2006) Wind turbine reliability: understanding and minimizing wind turbine operation and maintenance costs. United States, Department of EnergyGoogle Scholar
  17. 17.
    Wiesent B, Schardt M, Koch A (2014) Gear oil condition monitoring for offshore wind turbines.

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • E. Segura Asensio
    • 1
  • J. M. Pinar Pérez
    • 2
  • F. P. García Márquez
    • 1
    Email author
  1. 1.Ingenium Research GroupUniversity of Castilla-La ManchaAlbaceteSpain
  2. 2.CUNEF-Ingenium Research GroupMadridSpain

Personalised recommendations