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

M. Richmond, A. Kolios, V. S. Pillai, T. Nishino, L. Wang

    Research output: Contribution to journalConference articlepeer-review

    3 Citations (Scopus)
    36 Downloads (Pure)

    Abstract

    In 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.

    Original languageEnglish
    Article number072034
    Number of pages10
    JournalJournal of Physics: Conference Series
    Volume1037
    DOIs
    Publication statusPublished - 19 Jun 2018
    Event7th Science of Making Torque from Wind, TORQUE 2018 - Milan, Italy
    Duration: 20 Jun 201822 Jun 2018

    Bibliographical note

    Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution
    of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

    ASJC Scopus subject areas

    • Physics and Astronomy(all)

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