DocumentCode :
3253343
Title :
On the economic benefits of using Condition Monitoring Systems for maintenance management of wind power systems
Author :
Besnard, François ; Nilsson, Julia ; Bertling, Lina
Author_Institution :
Sch. of Electr. Eng., R. Inst. of Technol. (KTH), Stockholm, Sweden
fYear :
2010
fDate :
14-17 June 2010
Firstpage :
160
Lastpage :
165
Abstract :
The large growth in the wind power industry in the past years mainly focuses on a growing market and the development of large turbines and offshore farms. The high technical availability of wind turbines comes with a high need for frequent maintenance. Current maintenance planning is generally not optimized, and it is possible to make maintenance more efficient. Condition Monitoring Systems (CMS) are commonly used in other industries and can reduce the consequential damage at failure and provides advantages for the planning of the maintenance. It is of interest to determine if the wind industry would benefit of the use of CMS. This paper shows results from Life-Cycle-Cost (LCC) evaluated with probabilistic methods and sensitivity analysis to identify the benefit of using CMS. The results highlight that there is a high economic benefit of using CMS, as well as benefits on the risk. The benefit is highly influenced by the reliability of the gearbox.
Keywords :
condition monitoring; life cycle costing; maintenance engineering; power generation economics; power generation planning; power generation scheduling; sensitivity analysis; wind power plants; condition monitoring systems; economic benefits; life cycle costing; maintenance management; maintenance planning; offshore farms; sensitivity analysis; wind power systems; wind turbines; Availability; Collision mitigation; Condition monitoring; Energy management; Power generation economics; Power system economics; Power system management; Power system planning; Wind energy; Wind turbines; Condition Monitoring; Life Cycle Cost; Maintenance; Wind Energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
Type :
conf
DOI :
10.1109/PMAPS.2010.5528992
Filename :
5528992
Link To Document :
بازگشت