Loading…
Towards analysing risks to public safety from wind turbines
•Wind turbines failures.•Public safety risks.•Fault tree analysis (FTA) of wind turbines.•Quantification of component failures.•Improvement assessment procedure. Wind energy has become an increasingly desirable and viable renewable energy source in recent years. However, wind energy faces a number o...
Saved in:
Published in: | Reliability engineering & system safety 2018-12, Vol.180, p.77-87 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | •Wind turbines failures.•Public safety risks.•Fault tree analysis (FTA) of wind turbines.•Quantification of component failures.•Improvement assessment procedure.
Wind energy has become an increasingly desirable and viable renewable energy source in recent years. However, wind energy faces a number of challenges, one of them being risks to public safety from wind turbine failures. This paper provides an analysis as a first step towards integrating wind turbine failures with public safety risks. In this paper, an existing Fault Tree Analysis (FTA) of wind turbines is expanded to include wind turbine failures that could be linked to public safety risks. The paper combines knowledge from literature related to wind turbine failures with expert judgements. Quantification of component failures and failure modes in the expanded FTA is carried out, and wind turbine failure modes related to the assessment of risks to public safety from wind turbines are analysed. The failures modes used in the Dutch system for assessing public safety risks from wind turbines are compared with the outcomes of this study and improvements to this assessment procedure are proposed. The paper concludes that the information available about wind turbine failures is still limited and there is a lack of detailed descriptions of incidents in the recorded data. |
---|---|
ISSN: | 0951-8320 1879-0836 |
DOI: | 10.1016/j.ress.2018.07.010 |