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Offshore windmill and substation maintenance planning with Distance, Fuel consumption and Tardiness optimisation

Author

Listed:
  • De Kuyffer, E.
  • Shen, K.
  • Martens, L.
  • Joseph, W.
  • De Pessemier, T.

Abstract

Despite a lot of research about predictive maintenance for onshore and offshore windmill farms, nearly no investigation has been performed to obtain the optimal sequence in which windmills are to be served in a predefined time frame. The higher fuel costs and the increasing time pressure on maintenance jobs urge the need for optimisation, so offshore windmills can be serviced at minimal costs and within a limited time frame. To minimise distance travelled, fuel consumption and average tardiness of all maintenance tasks to be carried out, a multi-objective, non-dominated sorting island model of genetic algorithms is used.

Suggested Citation

  • De Kuyffer, E. & Shen, K. & Martens, L. & Joseph, W. & De Pessemier, T., 2023. "Offshore windmill and substation maintenance planning with Distance, Fuel consumption and Tardiness optimisation," Operations Research Perspectives, Elsevier, vol. 10(C).
    • Handle: RePEc:eee:oprepe:v:10:y:2023:i:c:s2214716023000027
    DOI: 10.1016/j.orp.2023.100267
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    References listed on IDEAS

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    1. Martin, Rebecca & Lazakis, Iraklis & Barbouchi, Sami & Johanning, Lars, 2016. "Sensitivity analysis of offshore wind farm operation and maintenance cost and availability," Renewable Energy, Elsevier, vol. 85(C), pages 1226-1236.
    2. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
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