A Bayesian network model for the probabilistic safety assessment of offshore wind decommissioning

Simple item page
dc.contributor.authorShafiee, Mahmood
dc.contributor.authorAdedipe, Tosin
dc.date.accessioned2022-10-17T15:21:33Z
dc.date.available2022-10-17T15:21:33Z
dc.date.issued2022-09-02
dc.description.abstractWith increasing the number of wind turbines approaching the end of their service life, it has become crucial for businesses to understand and assess safety and security issues related to the decommissioning phase of wind farm asset lifecycle. This paper aims to develop, for the first time, a Bayesian Network (BN) model for the safety assessment of offshore wind farm decommissioning operations. The most critical safety incidents are identified and their corresponding risk-influencing factors (RIF) are determined. The impacts of human errors as well as procedural and mechanical/electrical failures on the safety and efficiency of decommissioning operations are thoroughly analysed. The findings of the study revealed that the most critical RIFs during offshore wind decommissioning operations include: visibility, crew fatigue, number of personnel per operation, proper safety procedures, crane integrity, number of lifts available in the wind farm, inspection frequency, as well as equipment design.en_UK
dc.identifier.citationShafiee M, Adedipe T. (2023) A Bayesian network model for the probabilistic safety assessment of offshore wind decommissioning. Wind Engineering, Volume 47, Issue 1, February 2023, pp. 104-125en_UK
dc.identifier.issn0309-524X
dc.identifier.urihttps://doi.org/10.1177/0309524X221122569
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18570
dc.language.isoenen_UK
dc.publisherSAGEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectBayesian networken_UK
dc.subjectoffshore winden_UK
dc.subjectdecommissioningen_UK
dc.subjectsafety assessmenten_UK
dc.subjectlifting operationsen_UK
dc.subjectlifting operationsen_UK
dc.subjectrisk-influencing factorsen_UK
dc.subjectinfluence diagramsen_UK
dc.titleA Bayesian network model for the probabilistic safety assessment of offshore wind decommissioningen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
offshore_wind_decommissioning-2022.pdf
Size:
8.71 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SWEE)