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A Dynamic Opportunistic Maintenance Model to Maximize Energy-Based Availability While Reducing the Life Cycle Cost of Wind Farms

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Value Based and Intelligent Asset Management

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Abstract

Operations and maintenance costs of the wind power generation systems can be reduced through the implementation of opportunistic maintenance policies at suitable indenture and maintenance levels. These maintenance policies take advantage of the economic dependence among the wind turbines and their systems, performing preventive maintenance tasks in running systems when some other maintenance tasks have to be undertaken in the wind farm. The existing opportunistic maintenance models for the wind energy sector follow a static decision making process, regardless of the operational and environmental context. At the same time, on some occasions policies do not refer to practical indenture and maintenance levels. In this chapter, a maintenance policy based on variable reliability thresholds is presented. This dynamic nature of the reliability thresholds, which vary according to the weather conditions, provides flexibility to the decision making process. Within the presented model, multi-level maintenance, capacity constraints and multiple failure modes per system have been considered. A comparative study, based on real operation, maintenance and weather data, demonstrates that the dynamic opportunistic maintenance policy significantly outperforms traditional corrective and static opportunistic maintenance strategies, both in terms of the overall wind farm energy production and the Life Cycle Cost.

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Acknowledgements

This research work was performed within both the context of the EmaitekPlus 2015–2016 Program of the Basque Government and the SustainOwner (‘Sustainable Design and Management of Industrial Assets through Total Value and Cost of Ownership’), a project sponsored by the EU Framework Programme Horizon 2020, MSCA-RISE-2014: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (grant agreement number 645733—Sustain-Owner—H2020-MSCA-RISE-2014).

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Authors and Affiliations

  1. Ikerlan Technology Research Centre, Operations and Maintenance Technologies Area, Pº J. M. Arizmendiarrieta, 2, Gipuzkoa, Spain

    Asier Erguido Ruiz

  2. Department of Industrial Management, School of Engineering, University of Seville, Camino de los Descubrimientos s/n, 41092, Seville, Spain

    Asier Erguido Ruiz, Adolfo Crespo Márquez & Juan F. Gómez Fernández

  3. MIK Research Centre, Mondragon University, 20500, Gipuzkoa, Spain

    Eduardo Castellano

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  1. Asier Erguido Ruiz
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  2. Adolfo Crespo Márquez
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  3. Eduardo Castellano
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  4. Juan F. Gómez Fernández
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Correspondence to Adolfo Crespo Márquez .

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  1. Department of Industrial Management, School of Engineering of the University of Seville, Seville, Spain

    Adolfo Crespo Márquez

  2. Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milan, Italy

    Marco Macchi

  3. Department of Engineering, University of Cambridge, Cambridge, UK

    Ajith Kumar Parlikad

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Erguido Ruiz, A., Crespo Márquez, A., Castellano, E., Gómez Fernández, J.F. (2020). A Dynamic Opportunistic Maintenance Model to Maximize Energy-Based Availability While Reducing the Life Cycle Cost of Wind Farms. In: Crespo Márquez, A., Macchi, M., Parlikad, A. (eds) Value Based and Intelligent Asset Management. Springer, Cham. https://doi.org/10.1007/978-3-030-20704-5_12

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  • DOI: https://doi.org/10.1007/978-3-030-20704-5_12

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