Onshore wind farms maintenance optimization using a stochastic model

Alberola, Sofía Carlos; Sánchez, Ana Isabel; Martorell, Sebastián; Martón, Isabel

doi:10.1016/j.mcm.2011.12.025

Cited by 50 publications

(34 citation statements)

References 7 publications

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“…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. Carlos et al [7], unlike many others, optimized the onshore wind farms maintenance using stochastic model. Hameed and Vatn [17] analyzed the role of grouping in the development of an overall maintenance optimization framework for 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 WT operational availability includes logistics time, ready time, administrative downtime, and both preventive and corrective maintenance downtimes. Both types of availability are generally determined based on statistical metrics such as the Mean Time to Failure (MTTF), the Mean Time to Repair (MTTR), the Mean Time Between Failure (MTBF), and the Mean Downtime (MDT), which in addition provide information for WT maintenance scheduling [221][222][223][224][225].…”

Section: Objective Functionsmentioning

confidence: 99%

A Review of Methodological Approaches for the Design and Optimization of Wind Farms

et al. 2014

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This article presents a review of the state of the art of the Wind Farm Design and Optimization (WFDO) problem. The WFDO problem refers to a set of advanced planning actions needed to extremize the performance of wind farms, which may be composed of a few individual Wind Turbines (WTs) up to thousands of WTs. The WFDO problem has been investigated in different scenarios, with substantial differences in main objectives, modelling assumptions, constraints, and numerical solution methods. The aim of this paper is: (1) to present an exhaustive survey of the literature covering the full span of the subject, an analysis of the state-of-the-art models describing the performance of wind farms as well as its extensions, and the numerical approaches used to solve the problem; (2) to provide an overview of the available knowledge and recent progress in the application of such strategies to real onshore and offshore wind farms; and (3) to propose a comprehensive agenda for future research. OPEN ACCESSEnergies 2014, 7 6931

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“…Besnard et al 14 proposed an optimization model for the maintenance support organization of offshore wind farms, in order to determine the location of maintenance accommodation, number of technicians, choice of transfer vessels, and the possible use of a helicopter. Carlos et al 15 presented a stochastic model to find the best maintenance strategy for a wind turbine such that the total cost was minimized and the annual energy produced was maximized. Shafiee and Finkelstein 16 proposed an optimal age-based group maintenance policy for a number of critical bearings in a wind turbine system subjected to deterioration.…”

Section: Maintenance Optimization In Wind Energy Sectormentioning

confidence: 99%

Optimal Redundancy and Maintenance Strategy Decisions for Offshore Wind Power Converters

Shafiee

Patriksson

Strömberg

et al. 2015

Int. J. Rel. Qual. Saf. Eng.

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Analysis of field failure data collected from various wind farm databases indicates that the power converters are among the most critical components in offshore wind turbines, since they suffer from a high failure rate. One efficient approach to enhance the reliability and availability of the wind power systems is through using a redundant converter design, in which a set of power converters is placed together in parallel. The main advantage of a multiple parallel converter system is that the failure of one converter will not necessarily lead to the failure of the entire system. It may however increase the wind turbine's acquisition cost, volume, and weight. In this paper, we propose an approach of joint redundancy and maintenance strategy optimization for offshore wind power converters, aiming to simultaneously determine the "optimal allocation of redundant converters" and the "optimal threshold number of converters that are allowed to fail before sending a maintenance crew to the offshore platform". The optimal solution under various systemlevel constraints (such as reliability, weight, and the available space in nacelle) is derived and the conditions required to make using a redundant system beneficial are discussed. The proposed design is applied to an offshore wind turbine system and its performance is evaluated using a Monte-Carlo simulation technique. Finally, the results are compared with the conventional power converter system and a sensitivity analysis is conducted in order to make the proposed approach applicable for the next generation of wind turbines.

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Onshore wind farms maintenance optimization using a stochastic model

Cited by 50 publications

References 7 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

A Review of Methodological Approaches for the Design and Optimization of Wind Farms

Optimal Redundancy and Maintenance Strategy Decisions for Offshore Wind Power Converters

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