Optimisation software framework for advanced floating offshore wind farm operations and logistics

Tools

Ahmed, Y.A. and Lazakis, I. and Judah, S. and Abbey, C. (2024) Optimisation software framework for advanced floating offshore wind farm operations and logistics. In: 3rd International Conference on Green Energy and Environmental Technology, 2024-07-29 - 2024-07-31.

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Abstract

This study proposes an optimisation software framework tailored to the day-to-day/campaign-wise operations of offshore wind farms, aimed at optimising the routes of Service Operations Vessels (SOVs) and Crew Transfer Vessels (CTVs) engaged in maintenance activities. Unlike other tools [1, 2], this tool effectively reduces both the distance travelled and fuel consumption of these vessels while ensuring timely interventions and maximising resource utilisation, thereby enhancing overall productivity. Initially, the study involves the development of optimisation codes on the Python software platform. The objective is to optimise the routes of vessels based on the locations of offshore wind turbines requiring servicing, considering various constraints such as climate, operational timeframes, vessel availability, and the carrying capacity of each vessel for technicians or passengers. In case where it's not feasible to conduct maintenance on all failed turbines in a single day, the optimisation tool assists in prioritising maintenance tasks and preparing a campaign-wise schedule to finish the tasks in consecutive days. This enables efficient allocation of resources, determining which turbines to service on a given day and which ones to defer until the following day. Additionally, the study implements clustering techniques to group turbines to be serviced by a specific vessel based on their locations, further streamlining maintenance operations.

ORCID iDs

Ahmed, Y.A. ORCID logoORCID: https://orcid.org/0000-0002-2324-2075, Lazakis, I. ORCID logoORCID: https://orcid.org/0000-0002-6130-9410, Judah, S. and Abbey, C.;
CORE (COnnecting REpositories)