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dc.contributor.authorRussell, AJ
dc.contributor.authorCollu, M
dc.contributor.authorMcDonald, A
dc.contributor.authorThies, PR
dc.contributor.authorMortimer, A
dc.contributor.authorQuayle, AR
dc.date.accessioned2022-11-10T15:29:58Z
dc.date.issued2022-11-01
dc.date.updated2022-11-10T14:28:04Z
dc.description.abstractNacelle-mounted, forward-facing Light Detection and Ranging (LIDAR) technology is able to provide knowledge of the incoming wind so that wind turbines can prepare in advance, through feedforward control. LIDAR can aid in improving wind turbine performance across the full operating range, assisting with torque control in below rated wind speeds, pitch control in above rated wind speeds and yaw control for correctly aligning the turbine rotor with the incoming wind direction. The motivations are for decreasing structural loads, resulting in reduced maintenance and extended lifetimes of turbines and their components, and increasing power capture, both of which can lead to reductions in the levelised cost of energy. This paper provides a review of control strategies that have been employed for LIDAR-assisted turbine control. This paper reviews the computational and practical studies that have been performed for both bottom-fixed and floating turbines and the journey that the field has undertaken since its conceptualisation. Detail is provided of the key differences between fixed and floating offshore turbine dynamics. The paper concludes with guidance for future work within the field, with a focus on floating turbines, as the extent of the literature is scarce when compared to bottom-fixed. Suggestions are offered for how the future studies can better account for the current and future industry landscape. Opportunities for testing of LIDAR-assisted floating turbine control in the field, its benefits for floating substructure design, and the steps needed to be taken to ensure its increased utilisation on industrial projects are also discussed.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.format.extent012035-012035
dc.identifier.citationVol. 2362, article 012035en_GB
dc.identifier.doihttps://doi.org/10.1088/1742-6596/2362/1/012035
dc.identifier.grantnumberEP/S023933/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/131735
dc.identifierORCID: 0000-0003-3431-8423 (Thies, PR)
dc.identifierScopusID: 55134959500 (Thies, PR)
dc.identifierResearcherID: H-2490-2011 (Thies, PR)
dc.language.isoenen_GB
dc.publisherIOP Publishingen_GB
dc.relation.urlhttps://dx.doi.org/10.1088/1742-6596/2362/1/012035en_GB
dc.rights© 2022. Open access. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.en_GB
dc.titleReview of LIDAR-assisted Control for Offshore Wind Turbine Applicationsen_GB
dc.typeArticleen_GB
dc.date.available2022-11-10T15:29:58Z
dc.identifier.issn1742-6588
dc.descriptionThis is the final version. Available on open access from IOP Publishing via the DOI in this recorden_GB
dc.descriptionEERA DeepWind Offshore Wind R&D Conference 19 - 21 January 2022, Trondheim, Norwayen_GB
dc.identifier.eissn1742-6596
dc.identifier.journalJournal of Physics: Conference Seriesen_GB
dc.relation.ispartofJournal of Physics: Conference Series, 2362(1)
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-11-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-11-10T15:25:33Z
refterms.versionFCDVoR
refterms.dateFOA2022-11-10T15:29:59Z
refterms.panelBen_GB


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© 2022. Open access. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Except where otherwise noted, this item's licence is described as © 2022. Open access. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.