January 23, 2023

Predicting long-term O&M costs for wind farms and reliability of its parts

Developing a system that dynamically estimates the reliability of different wind turbine generator

Predicting long-term O&M costs for wind farms and reliability of its parts

At a glance

Challenge

Our customer was facing the need to carefully predict the Operations and Maintenance (O&M) expenditures of the wind farms for the following years due to a rising cost of unscheduled maintenance.

Solution

A system was developed to dynamically estimate the reliability of wind turbine generator (WTG) components over its lifespan and predict failure rates. Key factors influencing reliability include WTG manufacturers, drivetrain configuration, power class, site and terrain class, and wind characterization.

Results

Challenge

Our customer was facing the need to carefully predict the Operations and Maintenance (O&M) expenditures of the wind farms for the following years due to a rising cost of unscheduled maintenance.

Approach

Solution

A system was developed to dynamically estimate the reliability of wind turbine generator (WTG) components over its lifespan and predict failure rates. Key factors influencing reliability include WTG manufacturers, drivetrain configuration, power class, site and terrain class, and wind characterization.

Results

Our
AI-generated
summary

Our AI-generated summary

Our AI-generated summary

Our customer was facing the need to carefully predict the Operations and Maintenance (O&M) expenditures of the wind farms for the following years due to a rising cost of unscheduled maintenance.

Development of a system that dynamically estimates the reliability of different wind turbine generator (WTG) components throughout its useful life and predicts failure rate of the wind turbines.

The factors that significantly influence the reliability have been identified, such as WTG manufacturers, drive train configuration, power class, site and terrain class and wind characterization.

Prediction models take into account the technology diversity and geographical spread of the wind farms, allowing for the O&M budgeting of the wind farms associated with preventive and corrective actions (due to expected repairs and maintenance policies in use).

Our AI-generated summary

Our AI-generated summary

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