Failure Modes, Effects and Criticality Analysis for Wind Turbines Considering Climatic Regions and Comparing Geared and Direct Drive Wind Turbines

The wind industry is looking for ways to accurately predict the reliability and availability of newly installed wind turbines. Failure modes, effects and criticality analysis (FMECA) is a technique utilized for determining the critical subsystems of wind turbines. There are several studies which applied FMECA for wind turbines in the literature, but no studies so far have considered different weather conditions or climatic regions. Furthermore, various design types of wind turbines have been analyzed applying FMECA but no study so far has applied FMECA to compare the reliability of geared and direct-drive wind turbines. We propose to fill these gaps by using Koppen-Geiger climatic regions and two different turbine models of direct-drive and geared-drive concepts. A case study is applied on German wind farms utilizing the WMEP database which contains wind turbine failure data from 1989 to 2008. This proposed methodology increases the accuracy of reliability and availability predictions and compares different wind turbine design types and eliminates underestimation of impacts of different weather conditions.

[1]  M. Hand,et al.  Wind Turbine Design Cost and Scaling Model , 2006 .

[2]  Peter Tavner,et al.  Using an FMEA method to compare prospective wind turbine design reliabilities , 2010 .

[3]  L. Bertling,et al.  Reliability-Centered Maintenance for Wind Turbines Based on Statistical Analysis and Practical Experience , 2012, IEEE Transactions on Energy Conversion.

[4]  Francois Besnard On maintenance optimization for offshore wind farms , 2013 .

[5]  John Alexander Steel,et al.  A progressive study into offshore wind farm maintenance optimisation using risk based failure analysis , 2015 .

[6]  Eric Châtelet,et al.  Using a Hybrid Cost-FMEA Analysis for Wind Turbine Reliability Analysis , 2017 .

[7]  T. McMahon,et al.  Updated world map of the Köppen-Geiger climate classification , 2007 .

[8]  Mahmood Shafiee,et al.  A Fuzzy-FMEA Risk Assessment Approach for Offshore Wind Turbines , 2020, International Journal of Prognostics and Health Management.

[9]  Mahmood Shafiee,et al.  A redundancy optimization model applied to offshore wind turbine power converters , 2013, 2013 IEEE Grenoble Conference.

[10]  Mohammed Kishk,et al.  The Selection of a Suitable Maintenance Strategy for Wind Turbines , 2006 .

[11]  Jesse A. Andrawus Maintenance optimisation for wind turbines. , 2008 .

[12]  Shuangwen Sheng,et al.  Wind Turbine Drivetrain Condition Monitoring - An Overview , 2011 .

[13]  Mohamed Benbouzid,et al.  A Brief Status on Condition Monitoring and Fault Diagnosis in Wind Energy Conversion Systems , 2009 .

[14]  Peter Tavner,et al.  Failure Modes and Effects Analysis (FMEA) for wind turbines. , 2010 .

[15]  Salman Kahrobaee,et al.  Risk-based Failure Mode and Effect Analysis for wind turbines (RB-FMEA) , 2011, 2011 North American Power Symposium.

[16]  R J Whiting,et al.  Availability Trends Observed at Operational Wind Farms , 2007 .

[17]  Mahmood Shafiee,et al.  An FMEA-Based Risk Assessment Approach for Wind Turbine Systems: A Comparative Study of Onshore and Offshore , 2014 .