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

E. De Kuyffer, K. Shen, L. Martens, W. Joseph and T. De Pessemier

Operations Research Perspectives, 2023, vol. 10, issue C

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.

Keywords: Planning; Genetic Algorithm; Optimisation in distance; Consumption and time; Offshore windmill parks; Island model (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:10:y:2023:i:c:s2214716023000027

DOI: 10.1016/j.orp.2023.100267

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