McMillan, David and Ault, G.W. (2008) Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters. IET Renewable Power Generation, 2 (1). pp. 60-72. ISSN 1752-1416Full text not available in this repository. (Request a copy from the Strathclyde author)
The economic case for condition monitoring (CM) applied to wind turbines is currently not well quantified and the factors involved are not fully understood. In order to make more informed decisions regarding whether deployment of CM for wind turbines is economically justified, a refined set of probabilistic models capturing the processes involved are presented. Sensitivity of the model outputs with respect to variables of interest are investigated within the bounds of published data and expert opinion. The results show that the levels of benefit are dependent on a variety of factors including wind profile, typical downtime duration and wind turbine sub-component replacement cost.
|Keywords:||Monte Carlo methods, condition monitoring, power generation economics, wind turbines, Electrical engineering. Electronics Nuclear engineering, Renewable Energy, Sustainability and the Environment|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||22 Jun 2010 10:20|
|Last modified:||22 Mar 2017 10:18|