Modelling the installation of next generation floating offshore wind farms
| dc.contributor.author | Devoy McAuliffe, Fiona | en |
| dc.contributor.author | Judge, Frances M. | en |
| dc.contributor.author | Murphy, Jimmy | en |
| dc.date.accessioned | 2024-08-19T09:03:53Z | |
| dc.date.available | 2024-08-19T09:03:53Z | |
| dc.date.issued | 2024-07-26 | en |
| dc.description.abstract | The offshore wind industry is advancing with larger turbines (10 MW+) into sites in deeper waters (>60 m), necessitating innovative floating substructures. However, Floating Offshore Wind (FOW) must still be proven to be cost-efficient, with special attention paid to developing installation, Operations and Maintenance (O&M) and decommissioning strategies that will ensure FOW is competitive. Simulation is an efficient way to assess the viability of new technologies and the innovative operations required to install and maintain them. This paper presents a novel tool that simulates the installation of fixed/floating offshore wind farms across an hourly time-series of Metocean data, producing a total estimation of costs as part of the total capital expenditure (CAPEX). The paper validates the model by simulating installation of Hywind Scotland, the FOW farm, and comparing results with published data. Given the lack of real-world cost data and experience, this paper then seeks to provide a well-defined case-study for future researchers to develop further in other regions and with different technologies. The tool is applied to a theoretical large commercial 1GW FOW farm commissioned in 2035 at a representative site in the Celtic Sea. This considers a promising location for FOW development outside the existing demonstration/early commercial FOW projects, which are primarily focused on the North Sea. Results indicate a CAPEX (including installation) of €3492/kW, which is in line with industry expectations. Sensitivity analysis applies a learning rate to reduce platform costs, and varies farm capacity, demonstrating the potential economies of scale when increasing farm size. Simulation identifies weather operational limits and cable installation duration as key contributors to installation time and costs. This quantifies where cost-savings can be found and optimisation should focus. Further modelling considers the scale of their impact on results. A final Levelised Cost of Energy assessment estimating an LCoE range of €52.3–64.59/MWh, placing the FOW farm in the context of global economic targets. | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Published Version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.articleid | p.124001 | en |
| dc.identifier.citation | McAuliffe, F. D., Judge, F. M. and Murphy, J. (2024) 'Modelling the installation of next generation floating offshore wind farms', Applied Energy, 374, p.124001 (11pp). | en |
| dc.identifier.doi | https://doi.org/10.1016/j.apenergy.2024.124001 | en |
| dc.identifier.endpage | 11 | en |
| dc.identifier.issn | 0306-2619 | en |
| dc.identifier.journaltitle | Applied Energy | en |
| dc.identifier.startpage | 1 | en |
| dc.identifier.uri | https://hdl.handle.net/10468/16200 | |
| dc.identifier.volume | 374 | en |
| dc.language.iso | en | en |
| dc.publisher | Elsevier Ltd. | en |
| dc.rights | © 2024, The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | en |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Floating offshore wind | en |
| dc.subject | Installation | en |
| dc.subject | Costs | en |
| dc.subject | Economics | en |
| dc.subject | Financial assessment | en |
| dc.subject | Logistics | en |
| dc.title | Modelling the installation of next generation floating offshore wind farms | en |
| dc.type | Article (peer-reviewed) | en |
| oaire.citation.volume | 374 | en |
