The Impact of LIDAR‐Assisted Pitch Control on Floating Offshore Wind Operational Expenditure
dc.contributor.author | Russell, AJ | |
dc.contributor.author | McMorland, J | |
dc.contributor.author | Collu, M | |
dc.contributor.author | McDonald, AS | |
dc.contributor.author | Thies, PR | |
dc.contributor.author | Keane, A | |
dc.contributor.author | Quayle, AR | |
dc.contributor.author | McMillan, D | |
dc.contributor.author | Carroll, J | |
dc.contributor.author | Coraddu, A | |
dc.date.accessioned | 2024-09-05T14:02:28Z | |
dc.date.issued | 2024-08-31 | |
dc.date.updated | 2024-09-05T13:21:56Z | |
dc.description.abstract | Floating offshore wind (FOW) is a renewable energy source that is set to play an essential role in addressing climate change and the need for sustainable development. However, due to the increasing threat of climate emergency, more wind turbines are required to be deployed in deep water locations, further offshore. This presents heightened challenges for accessing the turbines and performing maintenance, leading to increased costs. Naturally, methods to reduce operational expenditure (OpEx) are highly desirable. One method that shows potential for reducing OpEx of FOW is LIDAR-assisted pitch control. This approach uses wind velocity measurements from a nacelle-mounted LIDAR to enable feedforward control of floating offshore wind turbines (FOWTs) and can result in reductions to the variations of structural loads. Results obtained from a previous study of combined feedforward collective and individual pitch control (FFCPC + FFIPC) are translated to OpEx reductions via reduced component failure rates for future FOW developments, namely, in locations awarded in the recent ScotWind leasing round. The results indicate that LIDAR-assisted pitch control may allow for an up to 5% reduction in OpEx, increasing to up to 11% with workability constraints included. The results varied across the three ScotWind sites considered, with sites furthest from shore reaping the greatest benefit from LIDAR-assisted control. This work highlights the potential savings and reduction in the overall levelised cost of energy for future offshore wind turbine projects deliverable through the implementation of LIDAR-assisted pitch control. | en_GB |
dc.description.sponsorship | UKRI | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.identifier.citation | Article e2951 | en_GB |
dc.identifier.doi | https://doi.org/10.1002/we.2951 | |
dc.identifier.grantnumber | EP/S023933/1 | en_GB |
dc.identifier.grantnumber | EP/S023801/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/137341 | |
dc.identifier | ORCID: 0000-0003-3431-8423 (Thies, Philipp R) | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley | en_GB |
dc.relation.url | https://github.com/Russell9798/OpenFAST-v3.4-Lidar-IfW-Original/releases/tag/2.0 | en_GB |
dc.relation.url | https://github.com/Russell9798/ROSCO-v2.6-LAC-IPC/releases/tag/2.0 | en_GB |
dc.relation.url | https://doi.org/10.17605/OSF.IO/FE6YP | en_GB |
dc.rights | © 2024 The Author(s). Wind Energy published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.subject | failure rates | en_GB |
dc.subject | floating offshore wind | en_GB |
dc.subject | LIDAR-assisted pitch control | en_GB |
dc.subject | O&M | en_GB |
dc.subject | operational expenditure | en_GB |
dc.subject | wind turbine control | en_GB |
dc.title | The Impact of LIDAR‐Assisted Pitch Control on Floating Offshore Wind Operational Expenditure | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-09-05T14:02:28Z | |
dc.identifier.issn | 1095-4244 | |
dc.description | This is the final version. Available on open access from Wiley via the DOI in this record | en_GB |
dc.description | Data Availability Statement: The original modified version of OpenFAST v.3.4, which includes the LIDAR simulator used in this work can be accessed via https://github.com/Russell9798/OpenFAST-v3.4-Lidar-IfW-Original/releases/tag/2.0. The modified version of ROSCO v2.6 with the feedforward control additions can be accessed via https://github.com/Russell9798/ROSCO-v2.6-LAC-IPC/releases/tag/2.0. LIDAR-assisted control simulation datasets used for this paper are available and can be assessed via https://doi.org/10.17605/OSF.IO/FE6YP. | en_GB |
dc.identifier.eissn | 1099-1824 | |
dc.identifier.journal | Wind Energy | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2024-08-16 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2024-08-31 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-09-05T13:55:44Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2024-09-05T14:02:36Z | |
refterms.panel | B | en_GB |
refterms.dateFirstOnline | 2024-08-31 |
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Except where otherwise noted, this item's licence is described as © 2024 The Author(s). Wind Energy published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.