Framework for Managing Maintenance ofWind Farms Based on a Clustering Approach and Dynamic Opportunistic Maintenance
Crespo Márquez, Adolfo
|Departamento||Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I|
|Publicado en||Energies, 12 (11). Article number 2036.|
|Tipo de documento||Artículo|
|Resumen||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 ...
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 amulti-objective optimization of themaintenance strategy for the lifecycle of awind 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.
|Cita||Izquierdo, J., Crespo Márquez, A., Uribetxebarria, J. y Erguido, A. (2019). Framework for Managing Maintenance ofWind Farms Based on a Clustering Approach and Dynamic Opportunistic Maintenance. Energies, 12 (11). Article number 2036.|
Versión del editor: https://doi.org/10.3390/en12112036