On risk-based operation and maintenance of offshore wind turbine components

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Abstract

Operation and maintenance are significant contributors to the cost of energy for offshore wind turbines. Optimal planning could rationally be based on Bayesian pre-posterior decision theory, and all costs through the lifetime of the structures should be included. This paper contains a study of a generic case where the costs are evaluated for a single wind turbine with a single component. Costs due to inspections, repairs, and lost production are included in the model. The costs are compared for two distinct maintenance strategies, namely with and without inclusion of periodic imperfect inspections. Finally the influence of different important parameters, e.g. failure rate, reliability of inspections, inspection interval, and decision rule for repairs, is evaluated.

Introduction

The costs of operation and maintenance (O&M) of offshore wind turbines are significant contributors to the cost of energy—up to 30% of the cost of energy. Optimal planning of O&M should include the use of inspections and monitoring results to make decisions that minimize the expected total costs through the lifetime of the structures. For offshore wind turbines it is especially important because of the dependence on weather windows for inspections and repairs to be possible. The aim of this work is to demonstrate the effect of the use of condition-based maintenance compared to the use of corrective maintenance for a generic case. For simplicity, only a single wind turbine with a single component is included in model, but the relative influence of different parameters are considered to be generic.

In general maintenance activities can be divided into corrective and preventive maintenance. Corrective maintenance is performed if a component has failed, and preventive maintenance is performed to avoid failure. Preventive maintenance can be divided into scheduled and condition-based maintenance. Scheduled maintenance is performed on scheduled times, and could e.g. be lubrication, tightening bolts, and changing filters [1]. Condition-based maintenance is performed on the basis of the actual health of the component, and thus it requires a condition-monitoring system with online monitoring and/or inspections, see e.g. [2], [3]. For offshore wind turbines service visits are performed on a scheduled basis, where scheduled maintenance are performed, and at the same time inspections can be performed at a relatively low additional cost.

The use of corrective maintenance is the most simple strategy, but it has several flaws. The failure of one minor component can cause escalated damage to a major component, which gives large repair/replacement costs. Further failures will often happen during a period with large wind loads, and the site will be unaccessible during that period, which will cause lost production, see e.g. [4]. Thus the costs for corrective maintenance are associated with much larger uncertainty than preventive maintenance [2].

Section snippets

Optimal planning of inspection and maintenance

Optimal planning of O&M should basically be based on risk-based methods, where pre-posterior decision theory is used to take all available information from past experience, inspections, and monitoring into account. The theoretical basis is described in this section and is based on the wind turbine framework [5] and general theory in [6].

The problem of making decisions that minimize the expected costs through the lifetime of the wind turbines can be represented using a decision tree as shown in

Model description

This section describes the generic model that has been made to model the operation and maintenance costs for a single wind turbine with a single component. The damage level of the component increases over time, and if it exceeds the damage level equal to 1 the wind turbine stops producing power. After the component is repaired it starts producing power again.

In the model both corrective and condition-based maintenance is included, and the condition-monitoring system consists of scheduled

Parameters

The model generates the costs of inspections, repairs and lost production over the lifetime of a wind turbine. The randomness of the nature is modeled by the use of a number of random variables as explained in this section.

Implementation of model

The model includes the following repair- and transportation strategies, described above:

  • Repair strategy:

    • 1.

      Only corrective repairs.

    • 2.

      Both condition-based and corrective repairs.

  • Transportation strategy:

    • 1.

      Boat.

    • 2.

      ASAP.

    • 3.

      ‘Risk’ with perfect weather forecast.

For each realization of the uncertain parameters the costs throughout the lifetime of the wind turbine is calculated. The following steps are followed:

  • Weather is generated.

  • Weather conditions sufficient for boat and helicopter are found.

  • Service/inspection

Application example

In this section results are shown for the use of different strategies for a component with a specific damage model. The considered component is assumed to have a failure rate of 0.5/year. Most components will in reality have a smaller failure rate than this, see e.g. [13]. However, this example aims at investigating the influence of different parameters, and this is more clearly shown for a larger failure rate, and convergence is reached faster.

The damage accumulation is modeled by an

Parameter study

In this section the influence of different parameters is investigated.

Discussion

The model described in this paper concerns a generic case with only one component in one wind turbine. In other application areas system effect has been modeled, e.g inspection planning for offshore jacket structures, see [14], [15], and maintenance planning for bridges, see [16], [17]. This section describes some limitations of the presented model, and how the model can be expanded to take further aspects into account.

Conclusions

In this paper the use of condition-based maintenance has been compared to the use of corrective maintenance for generic offshore wind turbines. For illustration only one component in one wind turbine is considered. Inspections were assumed to be performed at service visits, and repairs were made if the damage was found to exceed a limit value. The condition-based strategy was found to give a larger number of repairs through the lifetime of the structure, but most corrective repairs could be

Acknowledgements

The work presented in this paper is part of the project “Reliability-based analysis applied for reduction of cost of energy for offshore wind turbines” supported by the The Danish Council for Strategic Research, Grant no. 2104-08-0014. The financial support is greatly appreciated.

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