Framework for Managing Maintenance of Wind Farms Based on a Clustering Approach and Dynamic Opportunistic Maintenance

Juan Izquierdo, Adolfo Crespo Márquez, Jone Uribetxebarria and Asier Erguido
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Juan Izquierdo: Ikerlan Technology Research Centre, Operations and Maintenance Technologies Area, 20500 Gipuzkoa, Spain
Adolfo Crespo Márquez: Industrial Organization and Business Management I, School of Engineering, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain
Jone Uribetxebarria: Ikerlan Technology Research Centre, Operations and Maintenance Technologies Area, 20500 Gipuzkoa, Spain
Asier Erguido: Ikerlan Technology Research Centre, Operations and Maintenance Technologies Area, 20500 Gipuzkoa, Spain

Energies, 2019, vol. 12, issue 11, 1-17

Abstract: The growth in the wind energy sector is demanding projects in which profitability must be ensured. To fulfil such aim, the levelized cost of energy should be reduced, and this can be done by enhancing the Operational Expenditure through excellence in Operations & Maintenance. There is a considerable amount of work in the literature that deals with several aspects regarding the maintenance of wind farms. Among the related works, several focus on describing the reliability of wind turbines and many set the spotlight on defining the optimal maintenance strategy. It is in this context where the presented work intends to contribute. In the paper a technical framework is proposed that considers the data and information requisites, integrated in a novel approach a clustering-based reliability model with a dynamic opportunistic maintenance policy. The technical framework is validated through a case study in which simulation mechanisms allow the implementation of a multi-objective optimization of the maintenance strategy for the lifecycle of a wind farm. The proposed approach is presented under a comprehensive perspective which enables the discovery an optimal trade-off among competing objectives in the Operations & Maintenance of wind energy projects.

Keywords: maintenance management; wind turbines; clustering; reliability; dynamic opportunistic maintenance; simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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