Wind energy: UK experiences and offshore operational challenges

This paper presents a discussion of the development of wind energy generation in the United Kingdom and the challenges faced by the wind industry including reliability, performance and condition monitoring, particularly in the offshore environment. The worldwide installed capacity of offshore wind has now risen to over 7 GW, with an ever increasing deployment rate of new assets. About 90% of the global currently installed capacity is in Northern Europe, with the United Kingdom having the world's largest share at 4 GW. Capacity factor data from UK offshore wind farms is presented, providing an insight into the current performance of large Round 2 offshore wind farms compared to the earlier Round 1 farms and to onshore farms. The data reveal that the United Kingdom's Round 2 offshore farms are achieving an average monthly capacity factor of 38.3% with a peak value of 75.8%. The older Round 1 farms have a lower average capacity factor of 33.6% while large onshore farms with capacities above 100 MW have achieved 25.6%. Offshore wind turbine performance has improved over time, and the industry is applying the learning from early experiences to achieve better performances at the more recently installed farms. Despite these improvements in turbine availability, the cost of energy from wind, particularly offshore, remains too high for it to be a commercially viable form of generation without subsidies. Reducing the cost of energy from wind to economically sustainable levels is the most important challenge facing the industry today. Operation and maintenance costs constitute up to 30 % of the total cost of energy from wind in large farms. The industry must overcome the challenges associated with improving component reliability and the development and adoption by operators of appropriate condition monitoring systems and maintenance strategies, in order to reduce costs to sustainable levels. Research and development work carried out with these goals in mind is also reviewed in the paper.

[1]  Sinisa Djurovic,et al.  Wound rotor induction generator bearing fault modelling and detection using stator current analysis , 2013 .

[2]  Peter Tavner,et al.  Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS , 2013, Expert Syst. Appl..

[3]  Tongdan Jin,et al.  Condition based maintenance optimization for wind power generation systems under continuous monitoring , 2011 .

[4]  Paul Fleming,et al.  Use of SCADA Data for Failure Detection in Wind Turbines , 2011 .

[5]  István Petrás,et al.  ”Big Data” Initiative as an IT Solution for Improved Operation and Maintenance of Wind Turbines , 2013 .

[6]  P J Tavner.  Reliability of Different Wind Turbine Concepts with Relevance to Offshore Application , 2012 .

[7]  G. Ault,et al.  Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters , 2008 .

[8]  David McMillan,et al.  Quantification of Condition Monitoring Benefit for Offshore Wind Turbines , 2007 .

[9]  Andrew Kusiak,et al.  Patient-recognition data-mining model for BCG-plus interferon immunotherapy bladder cancer treatment , 2006, Comput. Biol. Medicine.

[10]  Robert Gross,et al.  Great expectations: the cost of offshore wind in UK waters , 2010 .

[11]  B. Hahn,et al.  Reliability of Wind Turbines , 2007 .

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

[13]  Peter Tavner,et al.  Machine and Converter Reliabilities in Wind Turbines , 2006 .

[14]  Yingning Qiu,et al.  Wind turbine condition monitoring: technical and commercial challenges , 2014 .

[15]  Peter Tavner,et al.  Offshore Wind Turbines: Reliability, availability and maintenance , 2012 .

[16]  James F. Manwell,et al.  Condition monitoring and prognosis of utility scale wind turbines , 2006 .

[17]  Fausto Pedro García Márquez,et al.  Condition monitoring and fault diagnosis in wind energy systems , 2015 .

[18]  L. Bertling,et al.  Maintenance Management of Wind Power Systems Using Condition Monitoring Systems—Life Cycle Cost Analysis for Two Case Studies , 2007, IEEE Transactions on Energy Conversion.

[19]  Ethniko Metsovio Polytechneio.  European energy and transport : trends to 2030 , 2003 .

[20]  Mayorkinos Papaelias,et al.  Wind turbine reliability analysis , 2013 .

[21]  Yanhui Feng,et al.  Early experiences with UK round 1 offshore wind farms , 2010 .

[22]  Peter Tavner,et al.  Reliability & Availability of Wind Turbine Electrical & Electronic Components , 2010 .

[23]  Peter Tavner,et al.  Reliability and availability of wind turbine electrical and electronic components. , 2011 .

[24]  Tim Cockerill,et al.  The cost of offshore wind: Understanding the past and projecting the future , 2012 .

[25]  David Infield,et al.  Online wind turbine fault detection through automated SCADA data analysis , 2009 .

[26]  Degenhard Sommer,et al.  Ove Arup & Partners , 1994 .

[27]  Peter Tavner,et al.  Survey of commercially available condition monitoring systems for wind turbines. , 2014 .

[28]  Peter Tavner,et al.  Condition monitoring of wind turbine induction generators with rotor electrical asymmetry , 2012 .

[29]  Iain Staffell,et al.  How does wind farm performance decline with age , 2014 .

[30]  Erich Hau,et al.  Wind Turbines: Fundamentals, Technologies, Application, Economics , 1999 .

[31]  María Isabel Blanco.  The economics of wind energy , 2009 .

[32]  Yingning Qiu,et al.  Wind turbine SCADA alarm analysis for improving reliability , 2012 .

[33]  Peter Tavner,et al.  Detection of rotor electrical asymmetry in wind turbine doubly-fed induction generators , 2014 .

[34]  Yanhui Feng,et al.  Methodology and results of the reliawind reliability field study , 2010 .

[35]  Andrew Kusiak,et al.  Data Mining in Manufacturing: A Review , 2006 .

[36]  Sung-Hoon Ahn,et al.  Condition monitoring and fault detection of wind turbines and related algorithms: A review , 2009 .

[37]  John Dalsgaard Sørensen,et al.  Framework for Risk-based Planning of Operation and Maintenance for Offshore Wind Turbines , 2009 .

[38]  Michael J. A. Berry,et al.  Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management , 2004 .

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

[40]  Yu Ding,et al.  Season-Dependent Condition-Based Maintenance for a Wind Turbine Using a Partially Observed Markov Decision Process , 2010, IEEE Transactions on Power Systems.

[41]  C. J. Crabtree,et al.  Side-band algorithm for automatic wind turbine gearbox fault detection and diagnosis , 2014 .

[42]  Simon J. Watson,et al.  Physics of Failure approach to wind turbine condition based maintenance , 2009 .

[43]  Tetsuo Tomiyama,et al.  Reliability of wind turbine technology through time , 2008 .

[44]  Yingning Qiu,et al.  Monitoring wind turbine gearboxes , 2013 .

[45]  直二 鹿島.  学界情報：EWEA（European Wind Energy Association）OFFSHORE 2013 報告 , 2014 .

[46]  Zijun Zhang,et al.  Fault Analysis and Condition Monitoring of the Wind Turbine Gearbox , 2012, IEEE Transactions on Energy Conversion.

[47]  E. J. Wiggelinkhuizen,et al.  Assessment of Condition Monitoring Techniques for Offshore Wind Farms , 2008 .

[48]  Peter Tavner,et al.  Wind turbine downtime and its importance for offshore deployment. , 2011 .

[49]  Walter Musial,et al.  Book Review: Offshore Wind Power , 2010 .

[50]  A. Karyotakis,et al.  On the optimisation of operation and maintenance strategies for offshore wind farms , 2011 .

[51]  C. J. Crabtree.  Condition monitoring techniques for wind turbines , 2011 .

[52]  Mayorkinos Papaelias,et al.  Condition monitoring of wind turbines: Techniques and methods , 2012 .

[53]  Yaoyu Li,et al.  A review of recent advances in wind turbine condition monitoring and fault diagnosis , 2009, 2009 IEEE Power Electronics and Machines in Wind Applications.

[54]  Peter Tavner,et al.  Survey of commercially available SCADA data analysis tools for wind turbine health monitoring. , 2014 .

[55]  F. Spinato,et al.  Condition Monitoring of Generators & Other Subassemblies in Wind Turbine Drive Trains , 2007, 2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives.