Characterizing the response of galloping energy harvesters using actual wind statistics

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

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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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