Characterizing the response of galloping energy harvesters using actual wind statistics

Mohammed Daqaq

    Research output: Contribution to journalArticle

    Abstract

    In this paper, we incorporate actual wind statistics into the response of galloping energy harvesters and shed light onto the influence of the wind probability distribution on the average power as compared to the deterministic scenario. Specifically, we obtain an expression for the average output power of the harvester as a function of the wind statistical averages, which are, in turn, obtained by fitting wind data using a Weibull Probability Density Function (PDF). The resulting expression is then used to demonstrate that knowledge of the actual PDF is essential for correct power predictions as well as for accurate electric load optimization. We discuss the influence of the wind direction on the average output power and show that the direction of the prevailing wind is not necessarily the ideal direction to maximize the average power.

    Original languageEnglish (US)
    Pages (from-to)365-376
    Number of pages12
    JournalJournal of Sound and Vibration
    Volume357
    DOIs
    StatePublished - Jan 1 2015

    Fingerprint

    Harvesters
    Statistics
    statistics
    probability density functions
    Probability density function
    energy
    sheds
    wind direction
    output
    Electric loads
    Probability distributions
    optimization
    predictions

    ASJC Scopus subject areas

    • Condensed Matter Physics
    • Acoustics and Ultrasonics
    • Mechanics of Materials
    • Mechanical Engineering

    Cite this

    Characterizing the response of galloping energy harvesters using actual wind statistics. / Daqaq, Mohammed.

    In: Journal of Sound and Vibration, Vol. 357, 01.01.2015, p. 365-376.

    Research output: Contribution to journalArticle

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