Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

Shafiee, Mahmood; Sørensen, John Dalsgaard

doi:10.1016/j.ress.2017.10.025

Cited by 143 publications

(76 citation statements)

References 160 publications

(209 reference statements)

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“…The accessibility limitations of vessels and helicopters imposed by the weather and sea-state conditions combined with the unavailability of failure data makes maintenance decision-making at OWFs, a complex and challenging task for the O&M team. A significant portion of the annual budget is wasted on many large offshore projects because of improper maintenance decisions [6]. Numerous research studies have been carried out to assist the O&M team in making maintenance decisions at OWFs.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous research studies have been carried out to assist the O&M team in making maintenance decisions at OWFs. Almost 80% of the total research articles (related to offshore wind farm maintenance) have been published in the last five years, which indicates the increasing importance of O&M-related research for offshore wind farms in operation and under construction [6]. The maintenance decision problems have been analyzed from Reliability, Availability, Maintainability and Serviceability (RAMS) perspectives and many maintenance models have been developed for optimal decision-making.…”

Section: Introductionmentioning

confidence: 99%

“…Existing long-term and lifetime models are not implemented at OWFs, because the OWF stakeholders treat the models as theoretical and incomprehensive [6]. The models are touted to be complex and the stakeholders believe that it will take considerable time and require technical force to solve the models.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties

2019

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Maintenance optimization has received special attention among the wind energy research community over the past two decades. This is mainly because of the high degree of uncertainties involved in the execution of operation and maintenance (O&M) activities throughout the lifecycle of wind farms. The increasing complexity in offshore maintenance execution demands applied research and brings forth a need to develop problem-specific maintenance decision-making models. In this paper, a mathematical model is proposed to assist wind farm stakeholders in making critical resource- related decisions for corrective maintenance at offshore wind farms (OWFs), considering uncertainties in turbine failure information.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties

2019

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“…There are two major types of maintenance, namely, corrective maintenance and proactive maintenance [3,4]. Corrective maintenance is based upon a run-to-failure strategy.…”

Section: Introductionmentioning

confidence: 99%

Cost-Optimal Maintenance Planning for Defects on Wind Turbine Blades

Yang

Sørensen

2019

Energies

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Due to the considerable increase in clean energy demand, there is a significant trend of increased wind turbine sizes, resulting in much higher loads on the blades. The high loads can cause significant out-of-plane deformations of the blades, especially in the area nearby the maximum chord. This paper briefly presents a discrete Markov chain model as a simplified probabilistic model for damages in wind turbine blades, based on a six-level damage categorization scheme applied by the wind industry, with the aim of providing decision makers with cost-optimal inspection intervals and maintenance strategies for the aforementioned challenges facing wind turbine blades. The in-history inspection information extracted from a database with inspection information was used to calibrate transition probabilities in the discrete Markov chain model. With the calibrated transition probabilities, the damage evolution can be statistically simulated. The classical Bayesian pre-posterior decision theory, as well as condition-based maintenance strategy, was used as a basis for the decision-making. An illustrative example with transverse cracks is presented using a reference wind turbine.

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“…In the past decades, several studies on O&M planning and optimization of offshore wind farms are carried out. In [2], an extensive overview on 246 mainly academic studies focused on O&M planning and optimization of wind energy assets published in the period 1997 to 2016 is given. Earlier studies on offshore wind O&M optimization are typically based on long-term averaging of O&M costs.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Based Diagnostic Model for Condition Based Maintenance of Offshore Wind Farms

Asgarpour

Sørensen

2018

Energies

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Operation and maintenance costs are a major contributor to the Levelized Cost of Energy for electricity produced by offshore wind and can be significantly reduced if existing corrective actions are performed as efficiently as possible and if future corrective actions are avoided by performing sufficient preventive actions. This paper presents an applied and generic diagnostic model for fault detection and condition based maintenance of offshore wind components. The diagnostic model is based on two probabilistic matrices; first, a confidence matrix, representing the probability of detection using each fault detection method, and second, a diagnosis matrix, representing the individual outcome of each fault detection method. Once the confidence and diagnosis matrices of a component are defined, the individual diagnoses of each fault detection method are combined into a final verdict on the fault state of that component. Furthermore, this paper introduces a Bayesian updating model based on observations collected by inspections to decrease the uncertainty of initial confidence matrix. The framework and implementation of the presented diagnostic model are further explained within a case study for a wind turbine component based on vibration, temperature, and oil particle fault detection methods. The last part of the paper will have a discussion of the case study results and present conclusions.

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Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

Cited by 143 publications

References 160 publications

A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties

A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties

Cost-Optimal Maintenance Planning for Defects on Wind Turbine Blades

Bayesian Based Diagnostic Model for Condition Based Maintenance of Offshore Wind Farms

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