A good prediction of the failure ratio of wind turbine (WT) components is pivotal to define a correct maintenance program and reduce the downtime periods. Even a small failure can lead to long downtime periods and high repairing costs. The installation sites, which generally have limited accessibility, and the necessity of special facilities to reach the components inside the nacelle, also play a key role in the correct management of WTs. In this study, a detailed survey on the failures occurred to the WTs managed by the Italian operator “e2i energie speciali” (more than 550 machines) over 16 years was performed and the results were analyzed in detail. Each failure was classified by considering the damaged component and the related downtime period. The analysis allowed the determination of several useful results such as the trend of failure occurrence with machine age and the identification of components and macrocomponents which are more critical in terms of both number of occurrences and downtime periods. The combination of component failure occurrences and related downtime periods was also computed to estimate which component is most critical for WT operation.

References

References
1.
EWEA, 2015, “
EWEA Annual Statistics, 2015
,” The European Wind Energy Association, Brussels, Belgium,, accessed Oct. 30, 2017, http://www.ewea.org/fileadmin/files/library/publications/statistics/EWEA-Annual-Statistics-2015.pdf
2.
EWEA
,
2009
,
The Facts: A Guide to the Technology, Economics and Future of Wind Power
,
European Wind Energy Association
,
Taylor & Francis, London
.
3.
Ribrant
,
J.
, and
Bertling
,
L.
,
2007
, “
Survey of Failures in Wind Power Systems With Focus on Swedish Wind Power Plants During 1997-2005
,”
IEEE Trans. Energy Convers.
,
22
(
1
), pp.
167
173
.
4.
Fischer
,
K.
,
Besnard
,
F.
, and
Bertling
,
L.
,
2012
, “
Reliability-Centered Maintenance for Wind Turbines Based on Statistical Analysis and Practical Experience
,”
IEEE Trans. Energy Convers.
,
27
(1), pp.
184
195
.
5.
Bertling
,
L.
,
Allan
,
R. N.
, and
Eriksson
,
R.
, 2003, “
A Reliability-Centred Asset Maintenance Method for Assessing the Impact of Maintenance in Power Distribution Systems
,”
IEEE Trans. Power Syst.
,
20
(1), pp. 75–82.
6.
GSE, 2015, “
Statistics 2015
,” GSE, Rome, Italy.
7.
Battisti, L.
, 2017, “
Quale minieolico
,” Report, accessed Oct. 30, 2017, http://orizzontenergia.it/download/Appr/EOLICO/2014_01_02_Quale%20minieolico_L_Battisti_UniTN.pdf
8.
Ribrant
,
J.
,
2005
/2006, “
Reliability Performance and Maintenance—A Survey of Failures in Wind Power Systems
,” Master thesis, Royal Institute of Technology, Stockholm, Sweden.
9.
Davies
,
A.
,
1998
,
Handbook of Condition Monitoring
,
Chapman & Hall
,
London
.
10.
Musial
,
W.
,
Butterfield
,
S.
, and
McNiff
,
B.
,
2007
, “
Improving Wind Turbine Gearbox Reliability
,”
European Wind Energy Conference
, Milan, Italy, May 7–10, Paper No.
NREL/CP-500-41548
.https://www.nrel.gov/docs/fy07osti/41548.pdf
11.
ICE
,
2005
, “
International Standard: Wind Turbines—Part 1: Design Requirements
,” International Electrotechnical Commission, Geneva, Switzerland, Standard No. IEC 61400-1:2005-2008.
12.
Ragheb
,
A.
, and
Ragheb
,
M.
,
2011
, “
Wind Turbine Gearbox Technologies
,”
Fundamental and Advanced Topics in Wind Power
,
Carriveau
,
R.
, ed., IntechOpen, Rijeka, Croatia, Chap. 8.
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