Hadjoudj, YannisPandit, Ravi Kumar2023-03-212023-03-212023-02-24Hadjoudj Y, Pandit RK. (2023) Improving O&M decision tools for offshore wind farm vessel routing by incorporating weather uncertainty. IET Renewable Power Generation, Volume 17, Issue 6, 27 April 2023, pp. 1488-14991752-1416https://doi.org/10.1049/rpg2.12689https://dspace.lib.cranfield.ac.uk/handle/1826/19335The growth of offshore wind farms depends significantly on how well offshore wind turbines (OWTs) are operated and maintained in the long term. The operation and maintenance (O&M) activities for offshore wind are relatively more challenging due to uncertain environmental conditions than onshore and due to this, vessel routing for offshore on-site repair is remain complex and unreliable. Here, an improved data-driven decision tool is proposed to robust the vessel routing for O&M tasks under numerous environmental conditions. A novel data-driven technique based on operational datasets is presented to incorporate weather uncertainties, such as wind speed, wave period and wave height (significantly influence offshore crew repair works), into the O&M decision-making process. Results show: (1) The inclusion of weather conditions improves the O&M model uncertainty and accuracy, (2) the implementation of a model allowing weather conditions to evolve has been added to vary the probabilities of successful transfers throughout the day, and (3) the reduction of risk of transfer failure by 15%. These conclusions are further supported by the performance error metrics and uncertainty calculations. Last but not least, by generating a variety of policies for consideration, this tool gave wind turbine operators a systematic and transparent way to evaluate trade-offs and enable choices pertaining to offshore O&M. The full paper highlights the strengths and weaknesses of the proposed technique for offshore vessel routing as well as how the environmental conditions affect them.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Wind turbinesO&Mvessel routingMachine learningweather uncertaintyArticle