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Forecasting Wind Farm Component Failures and Availability Post-Warranty Steve Buckley Team Leader, Wind Consultancy

Forecasting Wind Farm Component Failures and Availability Post-Warranty

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Forecasting Wind Farm Component Failures and Availability Post-Warranty. Steve Buckley. Team Leader, Wind Consultancy. Key Message. Limited historic data available – forecasting availability and costs is an inexact science - PowerPoint PPT Presentation

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Page 1: Forecasting Wind Farm Component Failures and Availability Post-Warranty

Forecasting Wind Farm Component Failures and Availability Post-WarrantySteve BuckleyTeam Leader, Wind Consultancy

Page 2: Forecasting Wind Farm Component Failures and Availability Post-Warranty

This presentation has been prepared by Sinclair Knight Merz (SKM) and comprises slides for a presentation concerning SKM. All views expressed are those of the presenter.

Except as advised, copyright and any other intellectual property rights in this presentation including text, graphics and layout rests exclusively with the Sinclair Knight Merz Group.

Except as advised, you may reproduce or distribute content from this presentation for personal and non-commercial purposes, or for purposes permitted by law, provided any reproduction is unaltered and a full attribution of the source is provided. If you wish to make any other use of this material, you must seek prior written permission. To ask for permission or for further information please contact: [email protected]

The SKM logo is a trade mark of Sinclair Knight Merz Pty Ltd.

Copyright © 2009 Sinclair Knight Merz Pty Ltd. All rights reserved.

Page 3: Forecasting Wind Farm Component Failures and Availability Post-Warranty

Key Message• Limited historic data available – forecasting

availability and costs is an inexact science• Historic data can be used to help inform the O&M

and condition monitoring strategy• Experience with two older wind farms demonstrates

how refined forecasts can improve on generalised assumptions

Page 4: Forecasting Wind Farm Component Failures and Availability Post-Warranty

Background• What are the post warranty O&M options?

– Extend existing contract

– 3rd party provider

– Scheduled O&M only

– Scheduled O&M plus minor unscheduled O&M

– Full service O&M (scheduled + unscheduled)

• How to decide which option is most appropriate?

Page 5: Forecasting Wind Farm Component Failures and Availability Post-Warranty

• Sources of data e.g.:–ReliaWind/Supergen Wind

–Upwind–IEST/Windstats etc.

Using Existing Data

• Larger WTGs less reliable but lower downtime

• Electronics are a significant cause of failures

• Drivetrain failures rarer but cause significant downtime

• Failure rates increase with higher wind speeds

Page 6: Forecasting Wind Farm Component Failures and Availability Post-Warranty

Calculating Sculpted Availability and Costs

Inputs

Component

MTBF

MTTR

Part Cost

Fitting Cost

Variables

Wind speed

Environment

Site

O&M provider

Type of fault5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

0.8

0.85

0.9

0.95

1

Base Case Annual Average AvailabilityWorst Case Annual Average Availability

Year

Availability (%)

1 2 3 4 5 6 7 8 9 10111213141516171819202122232425 £-

£2,000,000

£4,000,000

£6,000,000

£8,000,000

Base case O&M Worst case O&M

Year

O&M Costs

Page 7: Forecasting Wind Farm Component Failures and Availability Post-Warranty

Experience With Two Older Wind Farms

Gearbox

Generator

Pitch system

Bathtub curve?

Learning

Electrical

SCADA

Page 8: Forecasting Wind Farm Component Failures and Availability Post-Warranty

Experience With Two Older Wind Farms

Bathtub curve?

Pitch system

Yaw system

General WTG

Page 9: Forecasting Wind Farm Component Failures and Availability Post-Warranty

Linking Historic Data with Condition Monitoring

• When to use condition monitoring• Where to target condition monitoring• Using condition monitoring data to inform

maintenance options• Using historic data to inform condition monitoring

strategy

Page 10: Forecasting Wind Farm Component Failures and Availability Post-Warranty

Key Message• Limited historic data available – forecasting

availability and costs is an inexact science• Historic data can be used to help inform the O&M

and condition monitoring strategy• Experience with two older wind farms demonstrates

how refined forecasts can improve on generalised assumptions