Title :
Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters
Author :
McMillan, D. ; Ault, G.W.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow
fDate :
3/1/2008 12:00:00 AM
Abstract :
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; Monte Carlo simulation; condition monitoring; economic benefit; onshore wind turbines; operational parameters sensitivity; probabilistic models;
Journal_Title :
Renewable Power Generation, IET
DOI :
10.1049/iet-rpg:20070064