An optimal group maintenance policy for multi-unit offshore wind turbines located in remote areas

2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Conference Proceedings

Volumn , Issue , 2014, Pages

  Shafiee, Mahmood ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

average long run maintenance cost; degradation; Offshore wind turbine; preventive maintenance; remote location

Indexed keywords

COSTS; DEGRADATION; MAINTENANCE; OFFSHORE WIND TURBINES; OPTIMIZATION; PLANNING; PREVENTIVE MAINTENANCE; WIND POWER; WIND TURBINES;

GRADUAL DEGRADATION; MAINTENANCE ACTION; MAINTENANCE COST; OFF-SHORE WIND ENERGY; OPERATION AND MAINTENANCE; OPTIMIZATION MODELING; REMOTE LOCATION; WIND TURBINE SYSTEMS;

OFFSHORE WIND FARMS;

EID: 84915746626     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PMAPS.2014.6960615     Document Type: Conference Paper

References (25)

1. European Wind Energy Association, "Wind in Power, 2013 European Statistics", Published in February 2014. Available online: http: //www. ewea. org/statistics/.
2. P. J. Tavner, D. M. Greenwood, M. W. G. Whittle, R. Gindele, S. Faulstich, and B. Hahn, "Study of weather and location effects on wind turbine failure rates", Wind Energ, Vol 16, pp. 175-187, 2013.
3. http: //www. elforsk. se
4. J. K. Malmsten, "Wind turbine production losses in cold climate: case study of ten wind farms in Sweden", Department of Wind Energy, Gotland University, 2011.
5. A. Karyotakis, "On the optimisation of operation and maintenance strategies for offshore wind farms", PhD thesis, Department of Mechanical Engineering, University College London, UK, 2011.
6. Z. Hameed, and J. Vatn, "Reliability of offshore wind turbines by grouping suitable inspection regimes", In: proceedings of the EWEA Conference, Brussels, Belgium, March 14-17, 2011.
7. Z. Hameed, and J. Vatn, "Role of condition monitoring in the realization of dynamic grouping and its optimization using genetic algorithm for offshore wind turbines", In: proceedings of the 24th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM), pp. 1016-1025, Stavanger, Norway, 30 May-1 June, 2011.
8. Z. Hameed, and J. Vatn, "Role of grouping in the development of an overall maintenance optimization framework for offshore wind turbines", Proceedings of the IMechE, Part O, Journal of Risk and Reliability 226(6), 584-601, 2012.
9. Z. Hameed, and K. Wang, "Development of optimal maintenance strategies for offshore wind turbine by using artificial neural network. Wind Engineering 36(3), 353-364, 2012.
10. T. Nakagawa, "Shock and damage models in reliability theory", Springer, London, 2007.
11. E. Byon, L. Ntaimo, C. Singh and Y. Ding, "Wind energy facility reliability and maintenance", to be published as a chapter in the Handbook of wind power systems: optimization, modeling, simulation and economic aspects (edited by Pardalos, Pereira, Rebennack and Boyko) Springer, London, 2013.
12. H. Pham and H. Z. Wang, "Imperfect maintenance", European Journal of Operational Research 94(3), 425-438, 1996.
13. S. M. Ross, "Applied probability models with optimization applications", Holden-Day, San Francisco, CA, 1970.
14. T. Aven. "Reliability and risk analysis", Elsevier Applied Science, London, 1992.
15. I. T. Castro, A. Barros and A. Grall, "Age-based preventive maintenance for passive components submitted to stress corrosion cracking", Mathematical and Computer Modelling 54, 598-609, 2011.
16. K. T. Huynh, A. Barros, C. Bérenguer and I. T. Castro, "A periodic inspection and replacement policy for systems subject to competing failure modes due to degradation and traumatic events", Reliability Engineering and System Safety 96, 497-508, 2011.
17. K. T. Huynh, I. T. Castro, A. Barros and C. Bérenguer, "Modeling agebased maintenance strategies with minimal repairs for systems subject to competing failure modes due to degradation and shocks", European Journal of Operational Research 218, 140-151, 2012.
18. I. T. Castro, "An age-based maintenance strategy for a degradationthreshold-shock model for a system subjected to multiple defects", Asia Pacific Journal of Operational Research 30(5), 1350016, DOI: 10. 1142/S0217595913500164, 2013.
19. F. Besnard, and L. Bertling, "An approach for condition-based maintenance optimization applied to wind turbine blades", IEEE Transactions on Sustainable Energy 1(2), 77-83, 2010.
20. W. Zhu, M. Fouladirad, and C. Bérenguer, "Blade-based maintenance policy of offshore wind turbine with the presence of covariate under random shock", IEEE International Conference on Industrial Engineering and Engineering Management, Hong Kong, China, December 10-13, 2012.
21. W. Zhu, M. Fouladirad, and C. Bérenguer, "A predictive maintenance policy based on the blade of offshore wind turbines", Reliability and Maintainability Symposium (RAMS), Orlando, Florida, USA, January 28-31, 2013.
22. T. H. Nguyen, A. Prinz and J. Noll (2013) Proactive maintenance of offshore wind turbine blades using knowledge-based force analysis. 3rd International Conference on Innovative Computing Technology (INTECH), pp. 239-245, London, UK, August 29-31, 2013.
23. M. Shafiee, M. Patriksson, and A.-B. Strömberg, "An optimal numberdependent preventive maintenance strategy for offshore wind turbine blades considering logistics", Advances in Operations Research, Article ID 205847, 12 pages, 2013.
24. J. M. van Noortwijk, "A survey of the application of gamma processes in maintenance", Reliability Engineering and System Safety 94, 2-21, 2009.
25. J. Kim, "Iterated Grid Search Algorithm on Unimodal Criteria", PhD Thesis, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA, 1997.