Abstract

Ensuring optimal functioning and efficiency of offshore wind farms requires effective performance maintenance strategies. This paper introduces a novel, innovative treatment of the problem in the context of a comprehensive strategy to optimize preventive maintenance for wind farms. The developed declarative reference model allows capturing the trade-off between the costs of losses incurred due to extending the servicing time of wind turbines and the expenditure incurred on the scale of the fleet of vessels used and the service teams employed to maintain them. The problem of meeting constraints formulated in this representation allows for identifying and mitigating potential problems before they occur. It is implemented in a declarative programming environment (IBM ILOG CPLEX Optimization Studio), creating a prototype of a task-oriented Decision Support System, confirmed by several experiments.

Recommended Citation

Dovnborg Frederiksen, R., Bocewicz, G., Nielsen, P., Radzki, G., Wójcik, R. & Banaszak, Z. (2024). Towards Efficiency: Declarative Modelling in Wind Farm Preventive Maintenance Strategies. In B. Marcinkowski, A. Przybylek, A. Jarzębowicz, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era (ISD2024 Proceedings). Gdańsk, Poland: University of Gdańsk. ISBN: 978-83-972632-0-8. https://doi.org/10.62036/ISD.2024.115

Paper Type

Poster

DOI

10.62036/ISD.2024.115

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Towards Efficiency: Declarative Modelling in Wind Farm Preventive Maintenance Strategies

Ensuring optimal functioning and efficiency of offshore wind farms requires effective performance maintenance strategies. This paper introduces a novel, innovative treatment of the problem in the context of a comprehensive strategy to optimize preventive maintenance for wind farms. The developed declarative reference model allows capturing the trade-off between the costs of losses incurred due to extending the servicing time of wind turbines and the expenditure incurred on the scale of the fleet of vessels used and the service teams employed to maintain them. The problem of meeting constraints formulated in this representation allows for identifying and mitigating potential problems before they occur. It is implemented in a declarative programming environment (IBM ILOG CPLEX Optimization Studio), creating a prototype of a task-oriented Decision Support System, confirmed by several experiments.