Development of a stochastic computational fluid dynamics approach for offshore wind farms

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dc.contributor.authorRichmond, Mark
dc.contributor.authorKolios, Athanasios
dc.contributor.authorPillai, V. S.
dc.contributor.authorNishino, Takafumi
dc.contributor.authorWang, L.
dc.date.accessioned2018-10-25T17:00:30Z
dc.date.available2018-10-25T17:00:30Z
dc.date.issued2018-06-19
dc.description.abstractIn this paper, a method for stochastic analysis of an offshore wind farm using computational fluid dynamics (CFD) is proposed. An existing offshore wind farm is modelled using a steady-state CFD solver at several deterministic input ranges and an approximation model is trained on the CFD results. The approximation model is then used in a Monte-Carlo analysis to build joint probability distributions for values of interest within the wind farm. The results are compared with real measurements obtained from the existing wind farm to quantify the accuracy of the predictions. It is shown that this method works well for the relatively simple problem considered in this study and has potential to be used in more complex situations where an existing analytical method is either insufficient or unable to make a good prediction.en_UK
dc.identifier.citationM Richmond, A Kolios, V S Pillai, et al., Development of a stochastic computational fluid dynamics approach for offshore wind farms. Journal of Physics: Conference Series, Volume 1037, Winds, Wakes and Turbulence, 2018, Article number 072034en_UK
dc.identifier.issn1742-6588
dc.identifier.urihttps://doi.org/10.1088/1742-6596/1037/7/072034
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13570
dc.language.isoenen_UK
dc.publisherIOPen_UK
dc.rightsAttribution 3.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/*
dc.titleDevelopment of a stochastic computational fluid dynamics approach for offshore wind farmsen_UK
dc.typeArticleen_UK

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