An optimization framework for daily route planning and scheduling of maintenance vessel activities in offshore wind farms
Lazakis, Iraklis and Khan, Shahroz (2021) An optimization framework for daily route planning and scheduling of maintenance vessel activities in offshore wind farms. Ocean Engineering, 225. 108752. ISSN 0029-8018 (https://doi.org/10.1016/j.oceaneng.2021.108752)
Preview |
Text.
Filename: Lazakis_Khan_OE_2021_An_optimisation_framework_for_daily_route_planning_scheduling_maintenance.pdf
Final Published Version License: Download (2MB)| Preview |
Abstract
To increase energy production, offshore wind farms are currently installed far from shore, providing a challenge for vessels to undertake maintenance tasks from the designated hub port. Service Operation Vessels (SOVs) are utilized to carry out the offshore wind turbines maintenance tasks, which act as a servicing station having required technicians and daughter crafts (i.e. Crew Transfer Vessels (CTV)) onboard to facilitate on-time and on-demand servicing of wind turbines. This paper proposes an optimization framework, called OptiRoute, for daily or short-term maintenance operations based on route planning and scheduling while minimizing the cost under different operational constraints. Different heuristic and clustering techniques are developed and integrated to make the framework computationally effective. OptiRoute considers climate data, vessels specifications, failure information, wind farm attributes and cost-related specifics. The series of the overall operational tasks are divided into sequential sessions, including maintenance crew pick-up and drop-off tasks while the vessel routing optimization is performed for all sessions separately. OptiRoute reliability is tested by employing different Case studies while a user-friendly Graphical User Interface (GUI) is also developed to depict the various maintenance scheduling scenarios. Experimental results reveal that OptiRoute can efficiently increase the operational window especially when SOV and CTVs are used together.
ORCID iDs
Lazakis, Iraklis ORCID: https://orcid.org/0000-0002-6130-9410 and Khan, Shahroz ORCID: https://orcid.org/0000-0003-0298-9089;-
-
Item type: Article ID code: 75424 Dates: DateEvent1 April 2021Published5 March 2021Published Online10 February 2021AcceptedSubjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 16 Feb 2021 09:54 Last modified: 27 Nov 2024 17:24 URI: https://strathprints.strath.ac.uk/id/eprint/75424