A stochastic petri net model for O&M planning of floating offshore wind turbines

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dc.contributor.authorElusakin, Tobi
dc.contributor.authorShafiee, Mahmood
dc.contributor.authorAdedipe, Tosin
dc.contributor.authorDinmohammadi, Fateme
dc.date.accessioned2021-03-03T11:16:09Z
dc.date.available2021-03-03T11:16:09Z
dc.date.issued2021-02-20
dc.description.abstractAbstract With increasing deployment of offshore wind farms further from shore and in deeper waters, the efficient and effective planning of operation and maintenance (O&M) activities has received considerable attention from wind energy developers and operators in recent years. The O&M planning of offshore wind farms is a complicated task, as it depends on many factors such as asset degradation rates, availability of resources required to perform maintenance tasks (e.g., transport vessels, service crew, spare parts, and special tools) as well as the uncertainties associated with weather and climate variability. A brief review of the literature shows that a lot of research has been conducted on optimizing the O&M schedules for fixed-bottom offshore wind turbines; however, the literature for O&M planning of floating wind farms is too limited. This paper presents a stochastic Petri network (SPN) model for O&M planning of floating offshore wind turbines (FOWTs) and their support structure components, including floating platform, moorings and anchoring system. The proposed model incorporates all interrelationships between different factors influencing O&M planning of FOWTs, including deterioration and renewal process of components within the system. Relevant data such as failure rate, mean-time-to-failure (MTTF), degradation rate, etc. are collected from the literature as well as wind energy industry databases, and then the model is tested on an NREL 5 MW reference wind turbine system mounted on an OC3-Hywind spar buoy floating platform. The results indicate that our proposed model can significantly contribute to the reduction of O&M costs in the floating offshore wind sector.en_UK
dc.identifier.citationElusakin T, Shafiee M, Adedipe T, Dinmohammadi F. (2021) A stochastic petri net model for O&M planning of floating offshore wind turbines. Energies, Volume 14, Issue 4, February 2021, Article number 1134en_UK
dc.identifier.issn1996-1073
dc.identifier.urihttps://doi.org/10.3390/en14041134
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/16428
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectfloating offshore wind turbine (FOWTen_UK
dc.subjectoperation and maintenance (O&M)en_UK
dc.subjectPetri network (PN)en_UK
dc.subjectspar buoy platformen_UK
dc.subjectmooring and anchoringen_UK
dc.subjectreliabilityen_UK
dc.subjectdegradationen_UK
dc.titleA stochastic petri net model for O&M planning of floating offshore wind turbinesen_UK
dc.typeArticleen_UK

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