Planned intervention as a maintenance and repair strategy for offshore wind turbines

Karyotakis, A.; Bucknall, Rwg

doi:10.1080/20464177.2010.11020229

Cited by 28 publications

(18 citation statements)

References 5 publications

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“…Karyotakis and Bucknall [21] planned intervention as a maintenance and repair strategy for offshore wind turbine. Sorensen [34] proposed a framework for risk-based planning of operation and maintenance for offshore wind turbines, and RangelRamirez and Sorensen [28] proposed a risk-based inspection planning optimization of offshore wind turbines.…”

Section: Previous Researchmentioning

confidence: 99%

Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy

2016

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a b s t r a c tCost of energy generated from offshore wind is impacted by maintenance cost to a great extent. Cost of maintenance depends primarily on the strategy for performing maintenance. In this paper a maintenance cost model for offshore wind turbine components following multilevel opportunistic preventive maintenance strategy is formulated. In this strategy, opportunity for performing preventive actions on components is taken while a failed component is replaced. Two kinds of preventive actions are considered, preventive replacement and preventive maintenance. In the former, components that undergo that action become as good as new (i.e., the replaced components, are not just as good as new, but are actually new), but in the latter, ages of components are reduced to some degree depending on the level of maintenance action. Total cost associated with maintenance depends on the setting of age groups that determine which component should be preventively maintained and to what degree. Through optimum selection of the number of age groups, cost of maintenance can be minimized. A model is formulated where total maintenance cost is expressed as a function of number of age groups for components. A numerical study is used to illustrate the model. The results show that total cost of maintenance is significantly impacted by number of age groups and age thresholds set for components.

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Section: Previous Researchmentioning

confidence: 99%

Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy

2016

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“…The objective of this phase is to group the maintenance activities to reduce the maintenance cost. For an n-component series system, the component maintenance activity can be considered as a collection of G. Each time the system shuts down, the decision of maintenance combination G 1 , G 2 ,… G l is a mutually exclusive subset of G, which satisfies (17) Coming to the number of the components increases, there's an exponential growth of the combination G. The candidates will become more complex. Whenever component k (k {1,...n}) reaches its reliability threshold R k and preventively maintained, all OM combinations will be simulated and the cost savings of this OM will be calculated.…”

Section: Phase 4: Combining Maintenance Actionsmentioning

confidence: 99%

“…These costs will be covered by 0.43% increase of the availability of turbines used for power generation. Karyotakis and Bucknall [17] planned intervention as a maintenance and repair strategy for OWTs. Sorensen [27] proposed a framework for risk-based planning of operation and maintenance for OWTs.…”

Section: Introductionmentioning

confidence: 99%

Maintenance Grouping Optimization for Offshore Wind Turbine Considering Opportunities Based on Rolling Horizon Approach

Lua

Suna

Kanga

et al. 2018

Polish Maritime Research

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In future, offshore wind turbines may be consider a crucial part in the supply of energy. Maintenance processes are directed to attain a safe and reliable operation of offshore machines and wind turbines. In this paper, an opportunistic maintenance strategy for offshore wind turbine is proposed, considering imperfect maintenance and the preventive maintenance durations. Reliability Centric Maintenance serves as a proactive tactic to operations and maintenance by inhibiting the possible reasons of poor performance and controlling failures. Other components can implement the opportunistic preventive maintenances if one component has reached its reliability threshold. According to the rolling horizon approach, it is of great importance to update the maintenance planning for the sake of the short-term information. By figuring out the best combination, the maintenance schedule in the mission time has been finally determined. Failure information are obtained from previous studies to accomplish the calculations. The outcomes indicate that the maintenance cost has been dramatically reduced through the application of opportunistic maintenance.

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“…The offshore wind turbines are subjected to higher environmental and power utilization stresses than onshore turbines resulting from the marine environment. Therefore, they have higher failure rates, 20 which is the reason why onshore failure models are not appropriate for modelling the O&M and performance of offshore turbines. Given that public domain field data of offshore wind turbines are scarce, 3,20 power rating and environmental stress factors for mechanical systems 21 are used herein as an empirical approach to obtain the offshore failure models of the turbine’s components from characteristic onshore failure distributions.…”

Section: Stress Factors and Oandm Strategymentioning

confidence: 99%

Modelling and simulation of the operation and maintenance of offshore wind turbines

Santos

Teixeira

Soares

2015

Proceedings of the Institution of Mechanical Engineers, Part O:

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The offshore environment limits the accessibility to the wind turbines and subjects them to faster degradation processes than in onshore. Thus, operation and maintenance is more challenging and costly and represents a considerable share of the cost of energy. It is therefore important to identify which factors most influence the turbines’ performance, namely, the availability, overall cost and revenues, so that actions can be taken to minimize their effect. This article addresses such issues by presenting a parametric study on how the variation of failure and repair models, vessels logistic times, weather windows and waiting times affect a wind turbine performance. Offshore failure models/data were not usually available on the public domain, being obtained herein from onshore ones using an empirical approach based on stress factors for mechanical systems. The baseline model results from the optimization of an operation and maintenance strategy based on corrective maintenance replacements and imperfect age-based preventive maintenance repairs. Generalized stochastic Petri nets with predicates coupled with Monte Carlo simulation are used for modelling and simulation. Results are discussed.

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Planned intervention as a maintenance and repair strategy for offshore wind turbines

Cited by 28 publications

References 5 publications

Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy

Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy

Maintenance Grouping Optimization for Offshore Wind Turbine Considering Opportunities Based on Rolling Horizon Approach

Modelling and simulation of the operation and maintenance of offshore wind turbines

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