A lifecycle financial analysis model for offshore wind farms

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dc.check.date2021-01-08
dc.check.infoAccess to this article is restricted until 24 months after publication by request of the publisher.en
dc.contributor.authorJudge, Frances M.
dc.contributor.authorDevoy McAuliffe, Fiona
dc.contributor.authorSperstad, Iver Bakken
dc.contributor.authorChester, Rachel
dc.contributor.authorFlannery, Brian
dc.contributor.authorLynch, Katie
dc.contributor.authorMurphy, Jimmy
dc.contributor.funderSeventh Framework Programmeen
dc.date.accessioned2019-01-22T11:45:10Z
dc.date.available2019-01-22T11:45:10Z
dc.date.issued2019-01-08
dc.date.updated2019-01-22T11:37:21Z
dc.description.abstractSimulation and modelling allow a range of offshore wind farm stakeholders to test and improve a project's viability in a cost-effective and safe manner. This paper presents a model developed to conduct detailed financial analysis of an offshore wind farm. It extends the current state of the art by employing stochastic time-series simulation modules performing in-depth analysis of the technologies, strategies and procedures applied during the installation, operation and maintenance, and decommissioning phases of a wind farm lifecycle. The model was designed for versatility and can consider both fixed and floating technologies, a wide variety of strategies, and any site specified by the user. Results include energy production, costs and the duration of activities at each stage. These populate financial spreadsheets, which calculate key performance indicators including the Levelised Cost of Energy. The model has been successfully validated against real-life case-studies where possible; published data; and uses sensitivity analysis to ensure the model is working as expected. Through a case-study, the paper demonstrates how 1) the model enables the identification of key cost and time drivers, facilitating scenario optimisation; 2) the stochastic nature of the model considers the impact of uncertain variables on results such as weather conditions and wind turbine failure rates; 3) the model can be used to assess different business models and financing structures. This comprehensive range of abilities means that the model is suited to a variety of end-users and meets the demands of a growing industry, striving to achieve further cost-reductions across a range of site conditions, technologies and markets.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationJudge, F., Devoy McAuliffe, F., Sperstad, I. B., Chester, R., Flannery, B., Lynch, K. and Murphy, J. (2019) 'A lifecycle financial analysis model for offshore wind farms', Renewable and Sustainable Energy Reviews, 103, pp. 370-383. doi: 10.1016/j.rser.2018.12.045en
dc.identifier.doi10.1016/j.rser.2018.12.045
dc.identifier.endpage383en
dc.identifier.issn1364-0321
dc.identifier.journaltitleRenewable and Sustainable Energy Reviewsen
dc.identifier.startpage370en
dc.identifier.urihttps://hdl.handle.net/10468/7339
dc.identifier.volume103en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.projectinfo:eu-repo/grantAgreement/EC/FP7::SP1::TPT/614020/EU/Logistic Efficiencies And Naval architecture for Wind Installations with Novel Developments/LEANWINDen
dc.relation.urihttp://www.sciencedirect.com/science/article/pii/S1364032118308475
dc.rights© 2018 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 licenseen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectOffshore winden
dc.subjectFinancial analysisen
dc.subjectLifecycle costen
dc.subjectOffshore logisticsen
dc.titleA lifecycle financial analysis model for offshore wind farmsen
dc.typeArticle (peer-reviewed)en
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