This paper discusses the results of an extensive investigation to assess the added value of various techniques of health monitoring to optimize the maintenance procedures of offshore wind farms. This investigation was done within the framework of the EU funded Condition Monitoring for Offshore Wind Farms (CONMOW) project, which was carried out from 2002 to 2007. A small wind farm of five turbines has been instrumented with several condition monitoring systems and also with the “traditional” measurement systems for measuring mechanical loads and power performance. Data from vibration and traditional measurements, together with data collected by the turbine’s system control and data acquisition (SCADA) systems, have been analyzed to assess (1) if failures can be determined from the different data sets; (2) if so, if they can be detected at an early stage and if their progress over time can be monitored; and (3) if criteria are available to assess the component’s health. Several data analysis methods and measurement configurations have been developed, applied, and tested. This paper first describes the use of condition monitoring if condition based maintenance is going to be applied instead of only scheduled and corrective maintenance. Second, the paper describes the CONMOW project and its major results, viz., the assessment of the usefulness and capabilities of condition monitoring systems, including algorithms for identifying early failures. Finally, the economic consequences of applying condition monitoring systems have been quantified and assessed.
Skip Nav Destination
Article navigation
August 2008
Research Papers
Assessment of Condition Monitoring Techniques for Offshore Wind Farms
Edwin Wiggelinkhuizen,
Edwin Wiggelinkhuizen
Energy Research Centre of the Netherlands (ECN) (NL)
, Petten NL-175526, Netherlands
Search for other works by this author on:
Theo Verbruggen,
Theo Verbruggen
Energy Research Centre of the Netherlands (ECN) (NL)
, Petten NL-175526, Netherlands
Search for other works by this author on:
Henk Braam,
Henk Braam
Energy Research Centre of the Netherlands (ECN) (NL)
, Petten NL-175526, Netherlands
Search for other works by this author on:
Luc Rademakers,
Luc Rademakers
Energy Research Centre of the Netherlands (ECN) (NL)
, Petten NL-175526, Netherlands
Search for other works by this author on:
Jianping Xiang,
Jianping Xiang
Loughborough University (CREST)
, Ashby Road, LE11 3TU Loughborough, Leicestershire, UK
Search for other works by this author on:
Simon Watson
Simon Watson
Loughborough University (CREST)
, Ashby Road, LE11 3TU Loughborough, Leicestershire, UK
Search for other works by this author on:
Edwin Wiggelinkhuizen
Energy Research Centre of the Netherlands (ECN) (NL)
, Petten NL-175526, Netherlands
Theo Verbruggen
Energy Research Centre of the Netherlands (ECN) (NL)
, Petten NL-175526, Netherlands
Henk Braam
Energy Research Centre of the Netherlands (ECN) (NL)
, Petten NL-175526, Netherlands
Luc Rademakers
Energy Research Centre of the Netherlands (ECN) (NL)
, Petten NL-175526, Netherlands
Jianping Xiang
Loughborough University (CREST)
, Ashby Road, LE11 3TU Loughborough, Leicestershire, UK
Simon Watson
Loughborough University (CREST)
, Ashby Road, LE11 3TU Loughborough, Leicestershire, UKJ. Sol. Energy Eng. Aug 2008, 130(3): 031004 (9 pages)
Published Online: June 24, 2008
Article history
Received:
May 25, 2007
Revised:
March 7, 2008
Published:
June 24, 2008
Citation
Wiggelinkhuizen, E., Verbruggen, T., Braam, H., Rademakers, L., Xiang, J., and Watson, S. (June 24, 2008). "Assessment of Condition Monitoring Techniques for Offshore Wind Farms." ASME. J. Sol. Energy Eng. August 2008; 130(3): 031004. https://doi.org/10.1115/1.2931512
Download citation file:
Get Email Alerts
A Nonintrusive Optical Approach to Characterize Heliostats in Utility-Scale Power Tower Plants: Camera Position Sensitivity Analysis
J. Sol. Energy Eng (December 2024)
A Solar Air Receiver With Porous Ceramic Structures for Process Heat at Above 1000 °C—Heat Transfer Analysis
J. Sol. Energy Eng (April 2025)
View Factors Approach for Bifacial Photovoltaic Array Modeling: Bifacial Gain Sensitivity Analysis
J. Sol. Energy Eng (April 2025)
Resources, Training, and Education Under the Heliostat Consortium: Industry Gap Analysis and Building a Resource Database
J. Sol. Energy Eng (December 2024)
Related Articles
Site-Specific Design Optimization of 1.5–2.0 MW Wind Turbines
J. Sol. Energy Eng (November,2001)
Modern Wind Power Plant in Minnesota
J. Sol. Energy Eng (August,2001)
Condition Monitoring the Drive Train of a Direct Drive Permanent Magnet Wind Turbine Using Generator Electrical Signals
J. Sol. Energy Eng (May,2014)
Detecting Shaft-to-Seal Rubbing in Power Generation Turbines With the Acoustic Emission Technology
J. Vib. Acoust (December,2006)
Related Proceedings Papers
Related Chapters
A Utility Perspective of Wind Energy
Wind Turbine Technology: Fundamental Concepts in Wind Turbine Engineering, Second Edition
Improving Dynamic Performance of Wind Farms in a Distribution System Using DSTATCOM
International Conference on Software Technology and Engineering, 3rd (ICSTE 2011)
Expert Systems in Condition Monitoring
Tribology of Mechanical Systems: A Guide to Present and Future Technologies