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A model to improve the Wind Turbine Gearbox Lubrication system: System architecture and contractual process :

Wind energy accounts for 9.1% of the total energy capacity in Europe. Recent studies have raised critical questions regarding the dependability of current wind turbines. The statistical data reveals that gear box is the most critical component reducing dependability caused by increased failure rate, downtime, and high repair cost (J. Ribrant and L. Bertling, 2007). Gear box failures in wind farms reveal a staggering 19.4 % of downtime of operation (J. Ribrant and L. Bertling, 2007). A significant reduction in the failure rate has been observed in the recent years, but downtime of operation and high repair investment still remains a bottleneck. Wear is the most critical failure mode and a number of theories have been proposed in order to understand the system behavior of wear mechanism. The empirical and historical incident data shows that the lubrication system has the largest share of contribution of gearbox failures and wear rate. On other hand, a number of commercial lubrication system have developed to cope with wear mechanism, however, these systems have different capabilities and characteristics and needed to be assessed in a new life cycle perspective. The purpose of the thesis is to analyze the influence of lubrication system on the current problem of wear in Wind Turbine Gearbox and improve the existing lubrication system architecture. The research methodology adopted is System Engineering approach with architecture assessment tools. The expected result of the thesis is effective and efficient wind turbine gearbox lubrication system architecture and an efficient contractual process between lubrication system provider and purchaser.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-22252
Date January 2011
CreatorsBandari, Ali, Vasudevan, Vivek
PublisherLinnéuniversitetet, Institutionen för teknik, TEK, Linnéuniversitetet, Institutionen för teknik, TEK
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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