Maintenance grouping optimization for offshore wind turbine considering opportunities based on rolling horizon approach

• Autorzy: Lua Y. , Suna L. , Kanga J. , Zhang X.

Identyfikatory

DOI

10.2478/pomr-2018-0063

• Języki publikacji: EN

Abstrakty

EN

In future, offshore wind turbines may be consider a crucial part in the supply of energy. Maintenance processes are directed to attain a safe and reliable operation of offshore machines and wind turbines. In this paper, an opportunistic maintenance strategy for offshore wind turbine is proposed, considering imperfect maintenance and the preventive maintenance durations. Reliability Centric Maintenance serves as a proactive tactic to operations and maintenance by inhibiting the possible reasons of poor performance and controlling failures. Other components can implement the opportunistic preventive maintenances if one component has reached its reliability threshold. According to the rolling horizon approach, it is of great importance to update the maintenance planning for the sake of the short-term information. By figuring out the best combination, the maintenance schedule in the mission time has been finally determined. Failure information are obtained from previous studies to accomplish the calculations. The outcomes indicate that the maintenance cost has been dramatically reduced through the application of opportunistic maintenance.

Słowa kluczowe

EN

offshore wind turbine; opportunistic maintenance; rolling horizon; imperfect maintenance; preventive maintenance durations

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2018
• Tom: nr 2
• Strony: 123--131
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Lua Y.

• Harbin Engineering University, Nantong Street Nangang District., 150001 Harbin, China

autor

Suna L.

• Harbin Engineering University, Nantong Street Nangang District., 150001 Harbin, China

autor

Kanga J.

• Harbin Engineering University, Nantong Street Nangang District., 150001 Harbin, China

autor

Zhang X.

• Heilongjiang Water Transport Planning and Design Institute, Nantong Street, Nangang District. 150001 Harbin, China

Bibliografia

• 1. Arshad, M., O’Kelly, B.C.: Offshore wind-turbine structures: a review. Proc. Inst. Civ. Eng. Energy 2013.166 (4) 139-152.
• 2. Besnard, F., Bertling, L.: An approach for condition-based maintenance optimization applied to wind turbine blades. IEEE Trans. Sustain. Energy 2010, 1 (2) 1-7.
• 3. Carlos, S., Sanchez, A., Martorell, S., Marton, I.: Onshore wind farms maintenance optimization using stochastic model. Math. Comput. Model. 2013, 57 (708) 1884-1890.
• 4. Carroll, J., McDonald, A.: Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines. Wind Energy. 2015, 19 (6) 1107-1119.
• 5. Chandler, H.: Wind Energy – The facts, European Wind Energy Association. 2003.
• 6. Ding, F., Tian, Z.: Opportunistic maintenance optimization for wind turbine systems considering imperfect maintenance actions. Int. J. Reliab. Qual. Saf. Eng. 2011, 18 (5) 1-18.
• 7. Ding, F., Tian, Z.: Opportunistic maintenance for wind farms considering multilevel imperfect maintenance thresholds. Renew. Energy 2012, 45 (1) 175-182.
• 8. European Wind Energy Association. Wind in power, 2014 European statistics. 2015.
• 9. Faulstich, S., Hahn, B., Tavner, P. J.: Wind turbine downtime and its importance for offshore deployment. Wind Energy, 2011, (14), 327–337.
• 10. Hameed, Z.: Role of grouping in the development of an overall maintenance optimization framework for offshore wind turbines. Proc. Inst. Mech. Eng. Part O J. Risk Reliab. 2012, 226 (6) S1, 584-601.
• 11. Hameed, Z., Hong, Y.S., Cho, Y.M., Ahn, S.H., Song, C.K.: Condition monitoring and fault detection of WTs and related algorithms: A review. Renew. Sustain. Energy Rev. 2009, 1-39.
• 12. Hau, E.: Wind Turbines: Fundamentals, Technologies, Applications, Economics, Springer, Sidcup, Kent, UK, 2006.
• 13. Herbert, G.M.J., Iniyan, S., Sreevalsan, E., Rajapandian, S.: A review of wind energy technologies, Renew. Sustain. Energy Rev. 2007, (11) 1117-1145.
• 14. Jamieson, P.: Innovation in wind turbine design. Wiley, England, 2011.
• 15. Kahrobaee, S., Asgarpoor, S.: A hybrid analytical-simulation approach for maintenance optimization of deteriorating equipment: case study of wind turbines. Electr. Power Syst. Res. 2014, 104 (1) 80-86.
• 16. Kang, J.C., Sun, L.P., Sun, H., Wu. C.L.: Risk assessment of floating offshore wind turbine based on correlation-FMEA. Ocean Engineering 2017, (129), 382-388.
• 17. Karyotakis, A., Bucknall, R.: Planned intervention as a maintenance and repair strategy for offshore wind turbine. J. Mar. Eng. Technol. 2010, A 16 27-35.
• 18. Laggoune, R., Chateauuneuf, A., Aissani, D.: Opportunistic policy for optimal preventive maintenance of a multicomponent system in continuous operating units. Comput. Chem. Eng. 2009, 33 (9) 1499-1510.
• 19. Laura, C.S., Vincente, D.C.: Life-cycle cost analysis of floating offshore wind farms. Wind Energy, 2014, 66 (1) 41-48.
• 20. Liu, W., Tang, B., Jiang, Y.: Status and problems of WT structural health monitoring techniques in China. Renew. Energy 2010, (35) 1414-1418.
• 21. Nielsen, J.J., Sorensen, J.D.: On risk-based operation and maintenance of offshore wind turbine components. Reliab. Eng. Syst. Saf. 2011,96 (1) 218-229.
• 22. Nilsson, J., Bertling, L.: Maintenance management of wind power systems using condition monitoring systems-life cycle cost analysis for two case studies. IEEE Trans. Energy Convers. 2007, 22 (1) 223-229.
• 23. Santos, F., Teixeira, A.P., Guedes Soares, C.: Modelling and simulation of the operation and maintenance of offshore wind turbines. Journal of Risk and Reliability, 2015, Vol.229 (5) 385-393.
• 24. Shafiee, M.: An opportunistic condition-based maintenance policy for offshore wind turbine blades subjected to degradation and environmental shocks. Reliab. Eng. Syst. Saf. 2015, 463-471.
• 25. Shafiee, M.: Maintenance logistics organization for offshore wind energy: current progress and future perspectives. Renew. Energy 2015, 77, 182-193.
• 26. Snyder, B., & Kaiser, M.: Ecological and economic costbenefit analysis of offshore wind energy. Renewable Energy, 2009, 34(6), 1567–1578 .
• 27. Sorensen, J.D.: Framework for risk-based planning of operation and maintenance for offshore wind turbines. Wind Energy, 2009, 12 (5) 493-506.
• 28. Spinato, F., Tavner, P.J., van Bussel, G.J.W., Koutoulakos, E.: IET Reliability of WT subassemblies. Renew. Power Gener. 2009, 3 (4) 387-401.
• 29. Stiesdal, H.: The wind turbine components and operation. Bonus Info, newsletter special issue, Bonus Energy A/S, Brande. 1999.
• 30. U.S. Energy Information Administration: Levelized cost and levelized avoided cost of new generation resources in the annual energy outlook. 2014.
• 31. Walford, C.: Wind turbine reliability: understanding and minimizing wind turbine operation and maintenance costs. Sandia report, SAND2006-1100. National Laboratories. 2006.
• 32. Wildeman, R.E., Dekker, R., Smit, A.C.J.M.: A dynamic policy for grouping maintenance activities. European Journal of Operation Research 1997, 99(3), 530–551.
• 33. Zhang,X., Sun,L.P.: Floating offshore wind turbine reliability analysis based on system grading and dynamic FTA. J. Wind Eng.Ind.Aerodyn. 2016, (154) 21–33.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).