Abstract: Journal of Physics: Conference Series PAPER ? THE FOLLOWING ARTICLE ISOPEN ACCESS Impact of vessel logistics on floating wind farm availability Virginia Trueba1, Álvaro Rodríguez-Luis2, Sergio Fernández-Ruano2 and Raul Guanche2 Published under licence by IOP Publishing Ltd Journal of Physics: Conference Series, Volume 2018, EERA DeepWind'2021 13-15 January 2021, Trondheim, Norway Citation Virginia Trueba et al 2021 J. Phys.: Conf. Ser. 2018 012041 DownloadArticle PDF References Download PDF 179 Total downloads Turn on MathJax Share this article Share this content via email Share on Facebook (opens new window) Share on Twitter (opens new window) Share on Mendeley (opens new window) Article information Abstract This paper presents a study of the impact of the Operations and Maintenance (O&M) vessel logistics over the power availability of an Offshore Wind Farm. In particular, the vessel size and availability are considered. The study is performed with a life-span simulator, based on historical metocean data, walk-to-walk characterization based on a frequency domain hydrodynamic modelling of multibody systems, wind farm fault simulator (based on a catalogue of more than 1800 faults) and an algorithm to reproduce the O&M intelligence (i.e. sea transportation, workability, among others). The frequency domain model is applied on an hourly basis considering the specific significant wave height, peak period, peak enhancement factor, mean heading, directional spreading, and a wave-by-wave strategy is used to find if personnel transfer and workability criteria are met. The WindFloat Atlantic wind farm, located off the coast of Viana do Castello (Portugal), was chosen together with the TRL+ project semi-submersible platform and the 10MW turbine as a reference case. Different vessel logistics options are compared, including full vessel availability and several options of waiting times. The power availability changes among the different cases of study could be compared with the cost changes, optimizing the LCOE (Levelized Cost of Energy) of the wind farm. The presented study is a valuable example of the potential of the proposed O&M simulation model as an optimization tool.

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