Wind Energy· 2015Q2
Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines
- 628citations
- Q2SCImago
- 2015year
Short summary
This paper presents failure rates for offshore wind turbines and their sub-assemblies, based on data from ~350 turbines across Europe. It also details repair times, costs, and technician requirements.
AI-generated from the title and abstract; the full text is not read.
Key points
- Provides failure rates for offshore wind turbines and sub-assemblies from ~350 European turbines.
- Details repair times, average costs, and technician numbers for repairs.
- Analyzes failure rates by year of operation, cost category, and failure mode.
- Includes an onshore vs. offshore failure rate comparison for generators and converters.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Determining and understanding offshore wind turbine failure rates and resource requirement for repair are vital for modelling and reducing O&M costs and in turn reducing the cost of energy. While few offshore failure rates have been published in the past even less details on resource requirement for repair exist in the public domain. Based on ~350 offshore wind turbines throughout Europe this paper provides failure rates for the overall wind turbine and its sub‐assemblies. It also provides failure rates by year of operation, cost category and failure modes for the components/sub‐assemblies that are the highest contributor to the overall failure rate. Repair times, average repair costs and average number of technicians required for repair are also detailed in this paper. An onshore to offshore failure rate comparison is carried out for generators and converters based on this analysis and an analysis carried out in a past publication. The results of this paper will contribute to offshore wind O&M cost and resource modelling and aid in better decision making for O&M planners and managers. Copyright © 2015 John Wiley & Sons, Ltd.
The authors' abstract, as published at the source. Wind Energy, 2015 · DOI ↗
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Field: Safety, Risk, Reliability and Quality
Safety, Risk, Reliability and QualityEngineering