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|Title: ||Maintenance optimisation for wind turbines.|
|Authors: ||Andrawus, Jesse A.|
|Supervisors: ||Watson, John|
|Keywords: ||Wind turbines|
|Issue Date: ||Apr-2008|
|Publisher: ||The Robert Gordon University|
|Citation: ||ANDRAWUS, J., WATSON, J. and KISHK, M. 2006. Asset management processes in the wind energy industry. In: Proceedings of the 2nd Joint International Conference on Sustainable Energy and Environment (SEE 2006), 21-23 November 2006. Bangkok, Thailand. pp. 269-274|
ANDRAWUS, J., WATSON, J., KISHK, M. and ADAM, A. 2006. Determining an appropriate condition-based maintenance strategy for wind turbines. In: Proceedings of the 2nd Joint International Conference on Sustainable Energy and Environment (SEE 2006). 21-23 November 2006. Bangkok, Thailand. pp. 275-280
ANDRAWUS, J., WATSON, J., KISHK, M. and ADAM, A., 2006. The selection of a suitable maintenance strategy for wind turbines. International Journal of Wind Engineering, 30 (6), pp. 471-486
ANDRAWUS, J., WATSON, J. and KISHK, M., 2007. Wind turbine maintenance optimisation: principles of quantitative maintenance optimisation. International Journal of Wind Engineering, 31 (2), pp. 101-110
ANDRAWUS, J., WATSON, J. and KISHK, M. 2007. Maintenance optimisation of wind turbines : lessons for the built environment. In: Proceedings of the 23rd Annual ARCOM Conference. 3-5 September 2007. Belfast. pp. 893-902
ANDRAWUS, J., WATSON, J. and KISHK, M., 2007. Modelling system failures to optimise wind turbine maintenance. International Journal of Wind Engineering, 31 (6), pp. 503-522
|Abstract: ||Wind is becoming an increasingly important source of energy for countries that
ratify to reduce the emission of greenhouse gases and mitigate the effects of global
warming. Investments in wind farms are affected by inter-related assets and
stakeholders’ requirements. These requirements demand a well-founded Asset
Management (AM) frame-work which is currently lacking in the wind industry.
Drawing from processes, tools and techniques of AM in other industries, a
structured model for AM in the wind industry is developed. The model divulges that
maintenance is indispensable to the core business objectives of the wind industry.
However, the common maintenance strategies applied to wind turbines are
inadequate to support the current commercial drivers of the wind industry.
Consequently, a hybrid approach to the selection of a suitable maintenance strategy
is developed. The approach is used in a case study to demonstrate its practical
application. Suitable Condition-Based Maintenance activities for wind turbines are
Maintenance optimisation is a means to determine the most cost-effective
maintenance strategy. Field failure and maintenance data of wind turbines are
collected and analysed using two quantitative maintenance optimisation techniques;
Modelling System Failures (MSF) and Delay-Time Maintenance Model (DTMM).
The MSF permits the evaluation of life-data samples and enables the design and
simulation of a system’s model to determine optimum maintenance activities.
Maximum Likelihood Estimation is used to estimate the shape (β) and scale (η)
parameters of the Weibull distribution for critical components and subsystems of the
wind turbines. Reliability Block Diagrams are designed using the estimated β and η
to model the failures of the wind turbines and of a selected wind farm. The models
are simulated to assess and optimise the reliability, availability and maintainability
of the wind turbine and the farm. The DTMM examines equipment failure patterns
by taking into account failure consequences, inspection time and cost in order to
determine optimum inspection intervals. Defects rate (α) and mean delay-time (1/γ)
of components and subsystems within the wind turbine are estimated. Optimal
inspection intervals for critical subsystems of the wind turbine are then determined.|
|Appears in Collections:||Theses (Engineering)|
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