Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters

David McMillan; G.W. Ault

doi:10.1049/iet-rpg:20070064

Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters

David McMillan, G.W. Ault

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

129 Citations (Scopus)

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.

Original language	English
Pages (from-to)	60-72
Number of pages	12
Journal	IET Renewable Power Generation
Volume	2
Issue number	1
DOIs	https://doi.org/10.1049/iet-rpg:20070064
Publication status	Published - Mar 2008

Keywords

Monte Carlo methods
condition monitoring
power generation economics
wind turbines

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1049/iet-rpg:20070064

Cite this

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Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters

Abstract

Keywords

UN SDGs

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