Multi-criteria decision analysis for benchmarking human-free lifting solutions in the offshore wind energy environment

Simple item page
dc.contributor.authorRichmond, Mark
dc.contributor.authorBalaam, Toby
dc.contributor.authorCauson, Paul
dc.contributor.authorCevasco, Debora
dc.contributor.authorLeimeister, Mareike
dc.contributor.authorKolios, Athanasios
dc.contributor.authorBrennan, Feargal
dc.date.accessioned2018-06-15T13:47:22Z
dc.date.available2018-06-15T13:47:22Z
dc.date.issued2018-05-07
dc.description.abstractWith single components weighing up to hundreds of tonnes and lifted to heights of approximately 100 m, offshore wind turbines can pose risks to personnel, assets, and the environment during installation and maintenance interventions. Guidelines and standards for health and safety in lifting operations exist; however, having people directly beneath the load is still common practice in offshore wind turbine installations. Concepts for human-free offshore lifting operations in the categories of guidance and control, connections, and assembly are studied in this work. This paper documents the process of applying Multi-Criteria Decision Analysis (MCDA), using experts’ opinions for the importance of defined criteria obtained by conducting an industry survey, to benchmark the suitability of the concepts at two stages. Stage one streamlined possible options and stage two ranked the remaining suite of options after further development. The survey results showed that criteria such as ‘reduction of risk’, ‘handling improvement’ and ‘reliability of operation’ were most important. The most viable options, weighted by industry opinion, to remove personnel from areas of high risk are: Boom Lock and tag lines, a camera system with mechanical guidance, and automated bolt installation/fastening for seafastening. The decision analysis framework developed can be applied to similar problems to inform choices subject to multiple criteria.en_UK
dc.identifier.citationMark Richmond, Toby Balaam, Paul Causon, et al., Multi-criteria decision analysis for benchmarking human-free lifting solutions in the offshore wind energy environment. Energies, 2018, Vol. 11, Iss 5, article number 1175en_UK
dc.identifier.issn1996-1073
dc.identifier.urihttps://doi.org/10.3390/en11051175
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13235
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectmulti-criteria decision makingen_UK
dc.subjectTechnique for Order of Preference by Similarity to Ideal Solution (TOPSIS)en_UK
dc.subjectoffshore wind turbinesen_UK
dc.subjecthealth & safetyen_UK
dc.subjectoffshore lifting operationsen_UK
dc.titleMulti-criteria decision analysis for benchmarking human-free lifting solutions in the offshore wind energy environmenten_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Multi-criteria_decision_analysis_for_benchmarking_human-free_lifting_solutions-2018.pdf
Size:
1.45 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)